Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-23T05:34:40.086Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  04 January 2024

Alex Gillespie ,
Vlad Glăveanu  and
Constance de Saint Laurent
Alex Gillespie
Affiliation:
London School of Economics and Political Science
Vlad Glăveanu
Affiliation:
Dublin City University
Constance de Saint Laurent
Affiliation:
National University of Ireland, Maynooth

Summary

A summary is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Type
Chapter
Information
Pragmatism and Methodology
Doing Research That Matters with Mixed Methods
 , pp. 202 - 235
Publisher: Cambridge University Press
Print publication year: 2024
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC 4.0 https://creativecommons.org/cclicenses/

References

Abbott, A. (2000). Chaos of disciplines. University of Chicago Press.Google Scholar
Abend, G. (2008). The meaning of “theory”. Sociological Theory, 26(2), 173–199. https://doi.org/10.1111/j.1467-9558.2008.00324.xGoogle Scholar
Adams, D. (2017). The ultimate hitchhiker’s guide to the galaxy. Pan Macmillan.Google Scholar
Addams, J. (1990). Twenty years at Hull-House. University of Illinois Press.Google Scholar
Addams, J. (2002). Democracy and social ethics. University of Illinois Press.Google Scholar
Adnan, K., Akbar, R., Khor, S. W., & Ali, A. B. A. (2020). Role and challenges of unstructured big data in healthcare. Data Management, Analytics and Innovation, 1042, 301–323. https://doi.org/10.1007/978-981-32-9949-8_22Google Scholar
Åkerblad, L., Seppänen-Järvelä, R., & Haapakoski, K. (2021). Integrative strategies in mixed methods research. Journal of Mixed Methods Research, 15(2), 152–170. https://doi.org/10.1177/1558689820957125Google Scholar
Al-Ababneh, M. M. (2020). Linking ontology, epistemology and research methodology. Science & Philosophy, 8(1), 75–91.Google Scholar
Aldewereld, H., Boissier, O., Dignum, V., Noriega, P., & Padget, J. A. (2016). Social coordination frameworks for social technical systems. Springer.Google Scholar
Alexander, J. C. (1982). Positivism, presuppositions, and current controversies. University of California Press. https://doi.org/10.4324/9781315815855Google Scholar
Allemang, B., Sitter, K., & Dimitropoulos, G. (2022). Pragmatism as a paradigm for patient-oriented research. Health Expectations, 25(1), 38–47. https://doi.org/10.1111/hex.13384Google Scholar
Allport, G. (1954). The nature of prejudice. Addison-Wesley.Google Scholar
Altman, A. (1983). Pragmatism and applied ethics. American Philosophical Quarterly, 20(2), 227–235.Google Scholar
American Psychological Association. (2010). Ethical principles of psychologists and code of conduct. American Psychological Association. www.apa.org/ethics/code/principles.pdfGoogle Scholar
American Psychological Association. (2023). Ethical principles of psychologists and code of conduct. American Psychological Association. www.apa.org/ethics/codeGoogle Scholar
Anderson, C. (2008, June 23). The end of theory: The data deluge makes the scientific method obsolete. Wired. www.wired.com/2008/06/pb-theory/Google Scholar
Andrejevic, M. (2014). Surveillance in the big data era. In Pimple, K. B. (Ed.), Emerging Pervasive Information and Communication Technologies (PICT): Ethical challenges, opportunities and safeguards (pp. 55–69). Springer.Google Scholar
Andreotta, M., Nugroho, R., Hurlstone, M. J., et al. (2019). Analyzing social media data: A mixed-methods framework combining computational and qualitative text analysis. Behavior Research Methods, 51(4), 1766–1781. https://doi.org/10/gfxzv2Google Scholar
Anguera, M. T., Blanco-Villaseñor, A., Jonsson, G. K., Losada, J. L., & Portell, M. (2020). Best practice approaches for mixed methods research in psychological science. Frontiers in Psychology, 11, 590131. https://doi.org/10.3389/fpsyg.2020.590131Google Scholar
Ansell, C., & Boin, A. (2019). Taming deep uncertainty: The potential of pragmatist principles for understanding and improving strategic crisis management. Administration & Society, 51(7), 1079–1112. https://doi.org/10.1177/0095399717747655Google Scholar
Arras, J. D. (2001). Freestanding pragmatism in law and bioethics. Theoretical Medicine and Bioethics, 22(2), 69–85. https://doi.org/10.1023/A:1011495624471Google Scholar
Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgment. In Guetzkow, H. (Ed.), Groups, leadership and men (pp. 177–190). Carnegie Press.Google Scholar
Asch, S. E. (1955). Opinions and social pressure. Scientific American, 193(5), 31–35.Google Scholar
Asghar, M. R., Lee, T., Baig, M. M., et al. (2017). A review of privacy and consent management in healthcare: A focus on emerging data sources. In 2017 IEEE 13th International Conference on E-Science (e-Science) (pp. 518–522). https://doi.org/10.1109/eScience.2017.84Google Scholar
Ashby, C. E. (2011). Whose “voice” is it anyway? Giving voice and qualitative research involving individuals that type to communicate. Disability Studies Quarterly, 31(4), 26. https://doi.org/10.18061/dsq.v31i4.1723Google Scholar
Aveling, E.-L., Gillespie, A., & Cornish, F. (2015). A qualitative method for analysing multivoicedness. Qualitative Research, 15(6), 670–687. https://doi.org/10.1177/1468794114557991Google Scholar
Axley, S. R. (1984). Managerial and organizational communication in terms of the conduit metaphor. The Academy of Management Review, 9(3), 428–437.Google Scholar
Backett-Milburn, K., Mauthner, N., & Parry, O. (1999). The importance of the conditions and relations of project design for the construction of qualitative data: Some experiences from collaborative team working. International Journal of Social Research Methodology, 2(4), 297–312. https://doi.org/10.1080/136455799294970Google Scholar
Bacon, F. (1620). Novum organum. P. F. Collier & Son.Google Scholar
Baggini, J. (2017). A short history of truth: Consolations for a post-truth world. Quercus.Google Scholar
Bailey, J. R., & Eastman, W. N. (1994). Positivism and the promise of the social sciences. Theory & Psychology, 4(4), 505–524. https://doi.org/10.1177/0959354394044003Google Scholar
Baker, G., & Morris, K. J. (1996). Descartes’ dualism. Routledge.Google Scholar
Baker, M., & Schaltegger, S. (2015). Pragmatism and new directions in social and environmental accountability research. Accounting, Auditing & Accountability Journal, 28, 263–294. https://doi.org/10.1108/AAAJ-08-2012-01079Google Scholar
Bakhtin, M. (1981). The dialogic imagination: Four essays. University of Texas Press.Google Scholar
Bakhtin, M. (1986). Speech genres & other late essays. University of Texas Press.Google Scholar
Baldwin, T. (1979). Foresight and responsibility. Philosophy, 54(209), 347–360. https://doi.org/10.1017/S0031819100048750Google Scholar
Ball, J. (2017). Post-truth: How bullshit conquered the world. Biteback Publishing.Google Scholar
Bateson, G. (1972). Steps to an ecology of mind. Ballantine Books.Google Scholar
Baucal, A., Gillespie, A., Krstić, K., & Zittoun, T. (2020). Reproducibility in psychology: Theoretical distinction of different types of replications. Integrative Psychological and Behavioral Science, 54(1), 152–157. https://doi.org/10.1007/s12124-019-09499-yGoogle Scholar
Bauer, M. W., & Gaskell, G. (2000). Qualitative researching: With text, image and sound. SAGE.Google Scholar
Baumrind, D. (1964). Some thoughts on ethics of research: After reading Milgram’s “Behavioral study of obedience”. American Psychologist, 19, 421–423.Google Scholar
Baumrind, D. (2013). Is Milgram’s deceptive research ethically acceptable? Theoretical & Applied Ethics, 2(2), 1–18.Google Scholar
Bazeley, P. (2017). Integrating analyses in mixed methods research. SAGE.Google Scholar
Bazeley, P., & Kemp, L. (2012). Mosaics, triangles, and DNA: Metaphors for integrated analysis in mixed methods research. Journal of Mixed Methods Research, 6(1), 55–72. https://doi.org/10.1177/1558689811419514Google Scholar
Becker, H. S. (1998). Tricks of the trade: How to think about your research while you’re doing it. University of Chicago Press.Google Scholar
Beckwith, C. I. (2017). Greek buddha: Pyrrho’s encounter with early Buddhism in Central Asia. Princeton University Press.Google Scholar
Beer, D., & Burrows, R. (2013). Popular culture, digital archives and the new social life of data. Theory, Culture & Society, 30(4), 47–71. https://doi.org/10.1177/0263276413476542Google Scholar
Bell, S. K., & Martinez, W. (2019). Every patient should be enabled to stop the line. BMJ Quality & Safety, 28, 172–176. https://doi.org/10.1136/bmjqs-2018-008714Google Scholar
Bennett, A. (2015). Found in translation: Combining discourse analysis with computer assisted content analysis. Millennium, 43(3), 984–997. https://doi.org/10.1177/0305829815581535Google Scholar
Berentson-Shaw, J. (2018). A matter of fact: Talking truth in a post-truth world (Vol. 67). Bridget Williams Books.Google Scholar
Berger, P., & Luckmann, T. (1966). The social construction of reality: A treatise in the sociology of knowledge. Penguin.Google Scholar
Berger, P., & Luckmann, T. (1967). The social construction of reality. Doubleday New York.Google Scholar
Bergkvist, L., & Zhou, K. Q. (2019). Cause-related marketing persuasion research: An integrated framework and directions for further research. International Journal of Advertising, 38(1), 5–25. https://doi.org/10.1080/02650487.2018.1452397Google Scholar
Berka, K. (1983). Measurement. Springer.Google Scholar
Bhaskar, R. (1975). A realist theory of science. Leeds Books.Google Scholar
Biesta, G., & Burbules, N. C. (2003). Pragmatism and educational research. Rowman & Littlefield.Google Scholar
Billig, M. (1985). Prejudice, categorization and particularization: From a perceptual to a rhetorical approach. European Journal of Social Psychology, 15, 79–103.Google Scholar
Birnie, K. A., Chambers, C. T., Taddio, A., et al. (2015). Psychological interventions for vaccine injections in children and adolescents: Systematic review of randomized and quasi-randomized controlled trials. The Clinical Journal of Pain, 31(Suppl 10), S72–S89.Google Scholar
Bjerg, O., & Presskorn-Thygesen, T. (2017). Conspiracy theory: Truth claim or language game? Theory, Culture & Society, 34(1), 137–159. https://doi.org/10.1177/0263276416657880Google Scholar
Blackburn, S. (2005). The Oxford dictionary of philosophy. Oxford University Press.Google Scholar
Blumer, H. (1969). Symbolic interactionism. University of California Press.Google Scholar
Boeije, H., Slagt, M., & van Wesel, F. (2013). The contribution of mixed methods research to the field of childhood trauma: A narrative review focused on data integration. Journal of Mixed Methods Research, 7(4), 347–369. https://doi.org/10.1177/1558689813482756Google Scholar
Boesch, E. E. (1991). Symbolic action theory and cultural psychology. Springer-Verlag.Google Scholar
Bohannon, J. (2015). Torture report prompts APA apology. Science, 349(6245), 221–222. https://doi.org/10.1126/science.349.6245.221Google Scholar
Bolla, S., & Anandan, R. (2018). Contemporary review on technologies and methods for converting unstructured data to structured data. International Journal of Engineering and Technology (UAE), 7(3), 527–530. https://doi.org/10.14419/ijet.v7i3.27.18476Google Scholar
Borges, J. L. (1999). By Jorge Luis Borges Collected Fictions. Penguin Books.Google Scholar
Boyd, D., & Crawford, K. (2012). Critical questions for big data. Information, Communication & Society, 15(5), 662–679. https://doi.org/10.1080/1369118X.2012.678878Google Scholar
Boyd, R. L., & Schwartz, H. A. (2021). Natural language analysis and the psychology of verbal behavior: The past, present, and future states of the field. Journal of Language and Social Psychology, 40(1), 21–41. https://doi.org/10.1177/0261927X20967028Google Scholar
Breen, R., & Jonsson, J. O. (2005). Inequality of opportunity in comparative perspective: Recent research on educational attainment and social mobility. Annual Review of Sociology, 31, 223–243. https://doi.org/10.1146/annurev.soc.31.041304.122232Google Scholar
Brendel, D. H., & Miller, F. G. (2008). A plea for pragmatism in clinical research ethics. The American Journal of Bioethics, 8(4), 24–31. https://doi.org/10.1080/15265160802166025Google Scholar
Brenneis, D. (2005). Documenting ethics. In Meskell, L. & Pels, P. (Eds.), Embedding ethics (pp. 24–31). Routledge.Google Scholar
Brinkmann, S. (2009). Facts, values, and the naturalistic fallacy in psychology. New Ideas in Psychology, 27(1), 1–17.Google Scholar
Brinkmann, S. (2010). Psychology as a moral science: Perspectives on normativity. Springer Science & Business Media.Google Scholar
Brinkmann, S. (2013). John Dewey: Science for a changing world. Transaction Publishers.Google Scholar
British Psychological Society. (2010). Code of conduct, ethical principles, and guidelines. British Psychological Society.Google Scholar
Brockmeier, J., & Meretoja, H. (2014). Understanding narrative hermeneutics. Storyworlds: A Journal of Narrative Studies, 6(2), 1–27. https://doi.org/10.5250/storyworlds.6.2.0001Google Scholar
Brown, A. J. (2020). “Should I stay or should I leave?”: Exploring (dis) continued Facebook use after the Cambridge Analytica scandal. Social Media+ Society, 6(1), 2056305120913884.Google Scholar
Brown, M. E. L., & Dueñas, A. N. (2020). A medical science educator’s guide to selecting a research paradigm: Building a basis for better research. Medical Science Educator, 30(1), 545–553. https://doi.org/10.1007/s40670-019-00898-9Google Scholar
Bruner, J. S. (1990). Acts of meaning. Harvard University Press.Google Scholar
Bryman, A. (2006). Integrating quantitative and qualitative research: How is it done? Qualitative Research, 6(1), 97–113. https://doi.org/10.1177/1468794106058877Google Scholar
Bryman, A. (2008). The end of the paradigm wars. In Alasuutari, P., Brannen, J., & Bickman, L. (Eds.), The SAGE handbook of social research methods (13–25). SAGE.Google Scholar
Brynjolfsson, E., & McAfee, A. (2011). The big data boom is the innovation story of our time. The Atlantic, 21, 30.Google Scholar
Buckley, R. (2018). Simultaneous analysis of qualitative and quantitative social science data in conservation. Society & Natural Resources, 31(7), 865–870. https://doi.org/10.1080/08941920.2018.1446232Google Scholar
Butt, T. (2000). Pragmatism, constructivism, and ethics. Journal of Constructivist Psychology, 13(2), 85–101. https://doi.org/10.1080/107205300265892Google Scholar
Byrne, D., & Callaghan, G. (Eds.). (2013). Complexity theory and the social sciences: The state of the art. Routledge. https://doi.org/10.4324/9780203519585Google Scholar
Cain, L. K., MacDonald, A. L., Coker, J. M., Velasco, J. C., & West, G. D. (2019). Ethics and reflexivity in mixed methods research: An examination of current practices and a call for further discussion. International Journal of Multiple Research Approaches, 11(2), 144–155. https://doi.org/10.29034/ijmra.v11n2a2Google Scholar
Calude, C. S., & Longo, G. (2017). The deluge of spurious correlations in big data. Foundations of Science, 22(3), 595–612. https://doi.org/10/gfkk82Google Scholar
Campbell, C., & Jovchelovitch, S. (2000). Health, community and development: Towards a social psychology of participation. Journal of Community & Applied Social Psychology, 10(4), 255–270. https://doi.org/10.1002/1099-1298(200007/08)10:4<255::AID-CASP582>3.0.CO;2-MGoogle Scholar
Campbell, J., & Cassam, Q. (2014). Berkeley’s puzzle: What does experience teach us? Oxford University Press.Google Scholar
Caputo, J. D. (2016). Truth, the search for wisdom in the postmodern age. Penguin Books.Google Scholar
Carolan, M. (2003). Reflexivity: A personal journey during data collection. Nurse Researcher (through 2013), 10(3), 7–14.Google Scholar
Cartwright, N., & Bradburn, N. (2011). A theory of measurement. Unpublished manuscript.Google Scholar
Caspary, W. R. (2000). Dewey on democracy. Cornell University Press.Google Scholar
Cassell, C., Cunliffe, A. L., & Grandy, G. (2017). The SAGE handbook of qualitative business and management research methods. SAGE.Google Scholar
Chaiken, S. (1979). Communicator physical attractiveness and persuasion. Journal of Personality and Social Psychology, 37(8), 1387–1397. https://doi.org/10.1037/0022-3514.37.8.1387Google Scholar
Chambers, S. (2021). Truth, deliberative democracy, and the virtues of accuracy: Is fake news destroying the public sphere? Political Studies, 69(1), 147–163. https://doi.org/10.1177/0032321719890811Google Scholar
Chang, T., DeJonckheere, M., Vydiswaran, V. G. V., et al. (2021). Accelerating mixed methods research with natural language processing of big text data. Journal of Mixed Methods Research, 15(3), 398–412. https://doi.org/10.1177/15586898211021196Google Scholar
Chen, N.-C., Drouhard, M., Kocielnik, R., Suh, J., & Aragon, C. R. (2018). Using machine learning to support qualitative coding in social science: Shifting the focus to ambiguity. ACM Transactions on Interactive Intelligent Systems (TiiS), 8(2), 1–20.Google Scholar
Chomsky, N. (1995). The minimalist program (Vol. 28). Cambridge University Press.Google Scholar
Christ, T. W. (2007). A recursive approach to mixed methods research in a longitudinal study of postsecondary education disability support services. Journal of Mixed Methods Research, 1(3), 226–241. https://doi.org/10/chxs3rGoogle Scholar
Christ, T. W. (2013). The worldview matrix as a strategy when designing mixed methods research. International Journal of Multiple Research Approaches, 7(1), 110–118. https://doi.org/10.5172/mra.2013.7.1.110Google Scholar
Christens, B. D. (2019). Community power and empowerment. Oxford University Press.Google Scholar
Christensen, T. C., Barrett, L. F., Bliss-Moreau, E., Lebo, K., & Kaschub, C. (2003). A practical guide to experience-sampling procedures. Journal of Happiness Studies, 4(1), 53–78. https://doi.org/10.1023/A:1023609306024Google Scholar
Christiano, T. (1997). The significance of public deliberation. In Bohman, J. & Rehg, W. (Eds.), Deliberative democracy: Essays on reason and politics (pp. 243–278). Massachusetts Institute of Technology Press.Google Scholar
Christopher, S., Watts, V., McCormick, A. K. H. G., & Young, S. (2008). Building and maintaining trust in a community-based participatory research partnership. American Journal of Public Health, 98(8), 1398–1406.Google Scholar
Clark, A. (2018). A nice surprise? Predictive processing and the active pursuit of novelty. Phenomenology and the Cognitive Sciences, 17(3), 521–534. https://doi.org/10.1007/s11097-017-9525-zGoogle Scholar
Clark, V. L. P., & Ivankova, N. (2016). Why use mixed methods research? Identifying rationales for mixing methods. In Clark, V. L. P. & Ivankova, N. V. (Eds.), Mixed methods research: A guide to the field (pp. 79–104). SAGE Publications.Google Scholar
Cleland, C. E. (2011). Prediction and explanation in historical natural science. The British Journal for the Philosophy of Science, 62(3), 551–582.Google Scholar
Comte, A. (1858). The positive philosophy of Auguste Comte (Martineau, H., Trans.). Blanchard.Google Scholar
Constant, A., Ramstead, M. J. D., Veissière, S. P. L., & Friston, K. (2019). Regimes of expectations: An active inference model of social conformity and human decision making. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.00679Google Scholar
Conway, E. M., & Oreskes, N. (2012). Merchants of doubt. Bloomsbury Paperbacks.Google Scholar
Cooke, N. A. (2017). Post truth, truthiness, and alternative facts: Information behavior and critical information consumption for a new age. The Library Quarterly, 87(3), 211–221. https://doi.org/10.1086/692298Google Scholar
Corley, K. G., & Gioia, D. A. (2011). Building theory about theory building: What constitutes a theoretical contribution? Academy of Management Review, 36(1), 12–32. https://doi.org/10.5465/amr.2009.0486Google Scholar
Cornish, F. (2004). Making “context” concrete: A dialogical approach to the society-health relation. Journal of Health Psychology, 9(2), 281–294.Google Scholar
Cornish, F. (2020). Communicative generalisation: Dialogical means of advancing knowledge through a case study of an “unprecedented” disaster. Culture & Psychology, 26(1), 78–95. https://doi.org/10.1177/1354067X19894930Google Scholar
Cornish, F. (2021). “Grenfell changes everything?” Activism beyond hope and despair. Critical Public Health, 31(3), 293–305. https://doi.org/10.1080/09581596.2020.1869184Google Scholar
Cornish, F., & Gillespie, A. (2009). A pragmatist approach to the problem of knowledge in health psychology. Journal of Health Psychology, 14(6), 800–809. https://doi.org/10.1177/1359105309338974Google Scholar
Corti, K. (2015). Developing the cyranoid method of mediated interpersonal communication in a social psychological context: Applications in person perception, human-computer interaction. London School of Economics.Google Scholar
Corti, K., & Gillespie, A. (2015a). A truly human interface: Interacting face-to-face with someone whose words are determined by a computer program. Frontiers in Psychology, 6, 634. https://doi.org/10.3389/fpsyg.2015.00634Google Scholar
Corti, K., & Gillespie, A. (2015b). Revisiting Milgram’s cyranoid method: Experimenting with hybrid human agents. The Journal of Social Psychology, 155(1), 30–56. https://doi.org/10.1080/00224545.2014.959885Google Scholar
Corti, K., & Gillespie, A. (2016). Co-constructing intersubjectivity with artificial conversational agents: People are more likely to initiate repairs of misunderstandings with agents represented as human. Computers in Human Behavior, 58, 431–442. https://doi.org/10.1016/j.chb.2015.12.039Google Scholar
Coveney, P. V., Dougherty, E. R., & Highfield, R. R. (2016). Big data need big theory too. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2080), 20160153. https://doi.org/10.1098/rsta.2016.0153Google Scholar
Coxon, A. P. M. (2005). Integrating qualitative and quantitative data: What does the user need? Forum Qualitative Sozialforschung / Forum: Qualitative Social Research, 6(2), Article 2. https://doi.org/10.17169/fqs-6.2.463Google Scholar
Craig, R. T. (2007). Pragmatism in the field of communication theory. Communication Theory, 17(2), 125–145. https://doi.org/10.1111/j.1468-2885.2007.00292.xGoogle Scholar
Crano, W. D., Brewer, M. B., & Lac, A. (2014). Principles and methods of social research. Routledge.Google Scholar
Creamer, E. G. (2017). An introduction to fully integrated mixed methods research. SAGE.Google Scholar
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2020). Emergent properties, models, and laws of behavioral similarities within groups of twitter users. Computer Communications, 150, 47–61. https://doi.org/10.1016/j.comcom.2019.10.019Google Scholar
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE.Google Scholar
Creswell, J. W., Hanson, W. E., Clark Plano, V. L., & Morales, A. (2007). Qualitative research designs: Selection and implementation. The Counseling Psychologist, 35(2), 236–264. https://doi.org/10.1177/0011000006287390Google Scholar
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. Harper & Row.Google Scholar
Curran, T. (2023). The perfection trap. Penguin.Google Scholar
Damasio, A. R. (2006). Descartes’ error. Random House.Google Scholar
D’Ancona, M. (2017). Post-truth: The new war on truth and how to fight back. Random House.Google Scholar
Darley, J. M., & Latané, B. (1968). Bystander intervention in emergencies: Diffusion of responsibility. Journal of Personality and Social Psychology, 8(4), 377–383.Google Scholar
Darwin, C. (1859). The origin of species. Dent, Rowman & Littlefield.Google Scholar
Darwin, C. (2001). Charles Darwin’s Beagle diary. Cambridge University Press.Google Scholar
Daston, L. (1992). Objectivity and the escape from perspective. Social Studies of Science, 22(4), 597–618. https://doi.org/10.1177/030631292022004002Google Scholar
Davis, C. (2021). Sampling poetry, pedagogy, and protest to build methodology: Critical poetic inquiry as culturally relevant method. Qualitative Inquiry, 27(1), 114–124. https://doi.org/10.1177/1077800419884978Google Scholar
De Leeuw, R. N., Engels, R. C., Vermulst, A. A., & Scholte, R. H. (2008). Do smoking attitudes predict behaviour? A longitudinal study on the bi-directional relations between adolescents’ smoking attitudes and behaviours. Addiction, 103(10), 1713–1721. https://doi.org/10.1111/j.1360-0443.2008.02293.xGoogle Scholar
De Rosa, A. S., & Mannarini, T. (2020). The “invisible other”: Social representations of COVID-19 pandemic in media and institutional discourse. Papers on Social Representations, 29(2), 5–1.Google Scholar
de Saint Laurent, C. (2014). “I would rather be hanged than agree with you!”: Collective memory and the definition of the nation in parliamentary debates on immigration. Outlines. Critical Practices Studies, 15(3), 22–53. https://doi.org/10.7146/ocps.v15i3.19860Google Scholar
de Saint Laurent, C., Glӑveanu, V. P., & Chaudet, C. (2020). Malevolent creativity and social media: Creating anti-immigration communities on Twitter. Creativity Research Journal, 32(1), 66–80.Google Scholar
de Saint Laurent, C., Glӑveanu, V. P., & Literat, I. (2021a). Internet memes as partial stories: Identifying political narratives in coronavirus memes. Social Media + Society, 7(1), 2056305121988932. https://doi.org/10.1177/2056305121988932Google Scholar
de Saint Laurent, C., Glӑveanu, V. P., & Literat, I. (2022). Mimetic representations of the COVID-19 pandemic: An analysis of objectification, anchoring, and identification processes in coronavirus memes. Psychology of Popular Media. https://doi.org/10.1037/ppm0000370Google Scholar
de Saint Laurent, C., Murphy, G., Hegarty, K., & Greene, C. (2021b). Measuring the effects of misinformation exposure on behavioural intentions. https://doi.org/10.31234/osf.io/2xngyGoogle Scholar
de Saint Laurent, C., Obradović, S., & Carriere, K. R. (2018). Imagining collective futures: Perspectives from social, cultural and political psychology. Springer.Google Scholar
Deacon, T. W. (2011). Incomplete nature: How mind emerged from matter. W. W. Norton & Company.Google Scholar
Dennett, D. (1991). Consciousness explained. Penguin Press.Google Scholar
Denscombe, M. (2021). The good research guide: For small-scale social research projects. McGraw-Hill Education (UK).Google Scholar
Denzin, N. K. (1970). The research act. Aldine.Google Scholar
Denzin, N. K. (2012). Triangulation 2.0. Journal of Mixed Methods Research, 6(2), 80–88. https://doi.org/10.1177/1558689812437186Google Scholar
DeRosa, D. M., Smith, C. L., & Hantula, D. A. (2007). The medium matters: Mining the long-promised merit of group interaction in creative idea generation tasks in a meta-analysis of the electronic group brainstorming literature. Computers in Human Behavior, 23(3), 1549–1581.Google Scholar
Descartes, R. (1637). Discourse on the method for rightly conducting one’s reason and for seeking truth in the sciences. In Weissman, D. (Ed.), Discourse on method: And, Meditations on first philosophy (pp. 3–48). Yale University Press.Google Scholar
Descartes, R. (1641). Meditations on first philosophy. In Cottingham, J., Stoothoff, R., & Murdoch, D. (Eds.), The philosophical writings of Descartes (Vol. II). Cambridge University Press.Google Scholar
Devers, K. J., & Frankel, R. M. (2000). Study design in qualitative research–2: Sampling and data collection strategies. Education for Health, 13(2), 263.Google Scholar
deVries, W., Jackman, H., Aikin, S. F., & Talisse, R. B. (2017). Pragmatism, pluralism, and the nature of philosophy. Routledge.Google Scholar
Dewey, J. (1896). The reflex arc concept in psychology. Psychological Review, 3(July), 357–370.Google Scholar
Dewey, J. (1903). Studies in logical theory (Vol. 11). Chicago University Press.Google Scholar
Dewey, J. (1905). The postulate of immediate empiricism. The Journal of Philosophy, Psychology and Scientific Methods, 2(15), 393–399.Google Scholar
Dewey, J. (1910a). Science as subject-matter and as method. Science, 31(787), 121–127. https://doi.org/10.1126/science.31.787.121Google Scholar
Dewey, J. (1910b). The influence of Darwin on philosophy and other essays. Henry Hold and Company.Google Scholar
Dewey, J. (1917). Duality and dualism. The Journal of Philosophy, Psychology and Scientific Methods, 14(18), 491–493. https://doi.org/10.2307/2940462Google Scholar
Dewey, J. (1920). Reconstruction in philosophy. In Boydston, J. A. (Ed.), John Dewey the middle works 1899–1924 (Vol. 12). Southern Illinois University Press.Google Scholar
Dewey, J. (1922). Human nature and conduct. Henry Holt.Google Scholar
Dewey, J. (1929). The quest for certainty. Minton, Balch & Company.Google Scholar
Dewey, J. (1934). Art as experience. Minton, Balch & Company.Google Scholar
Dewey, J. (1958). Experience and human nature. Dover Publications.Google Scholar
Dewey, J. (1997). How we think. D.C. Heath.Google Scholar
Dewey, J., & Bentley, A. F. (1946). Interaction and transaction. The Journal of Philosophy, 43(19), 505–517.Google Scholar
Dick, P. K. (1962). The man in the high castle. Penguin UK.Google Scholar
Dingemanse, M., Roberts, S. G., Baranova, J., et al. (2015). Universal principles in the repair of communication problems. PLOS ONE, 10(9), e0136100. https://doi.org/10.1371/journal.pone.0136100Google Scholar
Doody, O., & Bailey, M. E. (2016). Setting a research question, aim and objective. Nurse Researcher, 23(4). https://doi.org/10.7748/nr.23.4.19.s5Google Scholar
Douglas, K. M., Uscinski, J. E., Sutton, R. M., et al. (2019). Understanding conspiracy theories. Political Psychology, 40, 3–35. https://doi.org/10.1111/pops.12568Google Scholar
Doyle, A. C. (1892). The adventures of Sherlock Holmes. George Newnes.Google Scholar
Duncker, K. (1945). On problem-solving. Psychological Monographs, 58(5), 1–113.Google Scholar
Eames, C., & Eames, R. (Directors). (1977). Powers of ten. The Eames Office.Google Scholar
Earp, B. D., & Trafimow, D. (2015). Replication, falsification, and the crisis of confidence in social psychology. Frontiers in Psychology, 6. https://doi.org/10.3389/fpsyg.2015.00621Google Scholar
Edwards, M., Tuke, J., Roughan, M., & Mitchell, L. (2020). The one comparing narrative social network extraction techniques. In 2020 IEEE/ACM international conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 905–913). https://doi.org/10.1109/ASONAM49781.2020.9381346Google Scholar
Einstein, A. (1982). How I created the theory of relativity. Physics Today, 35(8), 45–47.Google Scholar
Eisenhardt, K. M. (1989). Building theories from case study research. The Academy of Management Review, 14(4), 532–550. https://doi.org/10.2307/258557Google Scholar
Elamin, M. B., & Montori, V. M. (2012). The hierarchy of evidence: From unsystematic clinical observations to systematic reviews. In Burneo, J. G. (Ed.), Neurology: An evidence-based approach (pp. 11–24). Springer.Google Scholar
Emadian, A., England, C. Y., & Thompson, J. L. (2017). Dietary intake and factors influencing eating behaviours in overweight and obese South Asian men living in the UK: Mixed method study. BMJ Open, 7(7), e016919. https://doi.org/10.1136/bmjopen-2017-016919Google Scholar
Evans, D. (2003). Hierarchy of evidence: A framework for ranking evidence evaluating healthcare interventions. Journal of Clinical Nursing, 12(1), 77–84. https://doi.org/10.1046/j.1365-2702.2003.00662.xGoogle Scholar
Eynon, R., Fry, J., & Schroeder, R. (2008). The ethics of internet research. In Blank, G., Fielding, N. G., & Lee, R. M. (Eds.), The SAGE handbook of online research methods (pp. 23–41). SAGE.Google Scholar
Fahy, K. (1997). Postmodern feminist emancipatory research: Is it an oxymoron? Nursing Inquiry, 4(1), 27–33. https://doi.org/10.1111/j.1440-1800.1997.tb00134.xGoogle Scholar
Fakis, A., Hilliam, R., Stoneley, H., & Townend, M. (2014). Quantitative analysis of qualitative information from interviews: A systematic literature review. Journal of Mixed Methods Research, 8(2), 139–161. https://doi.org/10.1177/1558689813495111Google Scholar
Falk, H. (2003). Digital archive developments. The Electronic Library, 21(4), 375–397. https://doi.org/10.1108/02640470310491603Google Scholar
Farr, R. (1987). The science of mental life: A social psychological perspective. Bulletin of the British Psychological Society, 40, 2–17.Google Scholar
Farr, R. (1984). Interviewing: The social psychology of the inter-view. In Cooper, C. L. & Makin, P. (Eds.), Psychology for Managers, 2nd edition (pp. 182–200). Macmillan and British Psychological Association.Google Scholar
Farr, R. (1997). The significance of the skin as a natural boundary in the sub-division of psychology. Journal for the Theory of Social Behaviour, 27(2–3), 305–323.Google Scholar
Faugier, J., & Sargeant, M. (1997). Sampling hard to reach populations. Journal of Advanced Nursing, 26(4), 790–797. https://doi.org/10.1046/j.1365-2648.1997.00371.xGoogle Scholar
Feilzer, Y. M. (2010). Doing mixed methods research pragmatically: Implications for the rediscovery of pragmatism as a research paradigm. Journal of Mixed Methods Research, 4(1), 6–16. https://doi.org/10.1177/1558689809349691Google Scholar
Feltham-King, T., & Macleod, C. (2016). How content analysis may complement and extend the insights of discourse analysis: An example of research on constructions of abortion in South African newspapers 1978–2005. International Journal of Qualitative Methods, 15(1), 1–9. https://doi.org/10.1177/1609406915624575Google Scholar
Ferretti, A., Ienca, M., Sheehan, M., et al. (2021). Ethics review of big data research: What should stay and what should be reformed? BMC Medical Ethics, 22(1), 1–13. https://doi.org/10.1186/s12910-021-00616-4Google Scholar
Fesmire, S. (2003). John Dewey and moral imagination: Pragmatism in ethics. Indiana University Press.Google Scholar
Festinger, L. (1956). When prophecy fails: A social psychological study of a modern group that predicted the destruction of the world. University of Minnesota Press.Google Scholar
Festinger, L. (1957). A theory of cognitive dissonance. Stanford University Press.Google Scholar
Fetters, M. D., & Freshwater, D. (2015a). The 1 + 1 = 3 integration challenge. Journal of Mixed Methods Research, 9(2), 115–117. https://doi.org/10.1177/1558689815581222Google Scholar
Fetters, M. D., & Freshwater, D. (2015b). Publishing a methodological mixed methods research article. Journal of Mixed Methods Research, 9(3), 203–213. https://doi.org/10/gcsfkrGoogle Scholar
Fetters, M. D., & Molina-Azorin, J. F. (2017a). The Journal of Mixed Methods Research starts a new decade: Principles for bringing in the new and divesting of the old language of the field. Journal of Mixed Methods Research, 11(1), 3–10. https://doi.org/10/gf23fhGoogle Scholar
Fetters, M. D., & Molina-Azorin, J. F. (2017b). The Journal of Mixed Methods Research starts a new decade: The mixed methods research integration trilogy and its dimensions. Journal of Mixed Methods Research, 11(3), 291–307. https://doi.org/10.1177/1558689817714066Google Scholar
Feyerabend, P. (2001). Conquest of abundance: A tale of abstraction versus the richness of being. University of Chicago Press.Google Scholar
Fielding, N. G. (2012). Triangulation and mixed methods designs: Data integration with new research technologies. Journal of Mixed Methods Research, 6(2), 124–136. https://doi.org/10.1177/1558689812437101Google Scholar
Filstead, W. J. (1979). Qualitative methods: A needed perspective in evaluation research. In Cook, T. D. & Reichardt, C. S. (Eds.), Qualitative and quantitative methods in evaluation research (pp. 33–48). SAGE.Google Scholar
Fisher, A. J., Medaglia, J. D., & Jeronimus, B. F. (2018). Lack of group-to-individual generalizability is a threat to human subjects research. Proceedings of the National Academy of Sciences, 115(27), E6106–E6115. https://doi.org/10.1073/pnas.1711978115Google Scholar
Flick, U. (2002). An introduction to qualitative research. SAGE.Google Scholar
Fong, A., Hettinger, A. Z., & Ratwani, R. M. (2015). Exploring methods for identifying related patient safety events using structured and unstructured data. Journal of Biomedical Informatics, 58, 89–95. https://doi.org/10.1016/j.jbi.2015.09.011Google Scholar
Foster, I., Ghani, R., Jarmin, R. S., Kreuter, F., & Lane, J. (2016). Big data and social science: A practical guide to methods and tools. Chapman and Hall/CRC.Google Scholar
Foucault, M. (1973). Madness and civilization. Vintage Books.Google Scholar
Foucault, M. (1975). Discipline & punish: The birth of the prison. Vintage Books.Google Scholar
Freire, P. (1970). Pedagogy of the oppressed (M. B. Ramos, Trans.). Continuum.Google Scholar
French, D. P., Cooke, R., McLean, N., Williams, M., & Sutton, S. (2007). What do people think about when they answer theory of planned behaviour questionnaires? A “think aloud” study. Journal of Health Psychology, 12(4), 672–687.Google Scholar
Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127. https://doi.org/10.1038/nrn2787Google Scholar
Friston, K., Thornton, C., & Clark, A. (2012). Free-energy minimization and the dark-room problem. Frontiers in Psychology, 130. https://doi.org/10.3389/fpsyg.2012.00130Google Scholar
Galenson, D. W. (2008). Old masters and young geniuses: The two life cycles of artistic creativity. Princeton University Press.Google Scholar
Gallese, V., & Goldman, A. (1998). Mirror neurons and the simulation theory of mind-reading. Trends in Cognitive Sciences, 2(12), 493–501.Google Scholar
Gaskell, G., & Bauer, M. W. (2000). Towards public accountability: Beyond sampling, reliability and validity. In Bauer, M. W. & Gaskell, G. (Eds.), Qualitative researching with text, image and sound: A practical handbook for social research (336–350). SAGE.Google Scholar
Geertz, C. (1973). The interpretation of cultures. Fontana Press.Google Scholar
Gergen, K. J. (1973). Social psychology as history. Journal of Personality and Social Psychology, 26, 309–320.Google Scholar
Gergen, K. J. (2015). From mirroring to world-making: Research as future forming. Journal for the Theory of Social Behaviour, 45(3), 287–310. https://doi.org/10.1111/jtsb.12075Google Scholar
Gerring, J. (2012). Mere description. British Journal of Political Science, 721–746. https://doi.org/10.1017/S0007123412000130Google Scholar
Gillespie, A. (2003). Supplementarity and surplus: Moving between the dimensions of otherness. Culture & Psychology, 9(3), 209–220.Google Scholar
Gillespie, A. (2004). The mystery of G. H. Mead’s first book. Theory & Psychology, 14(3), 423–425.Google Scholar
Gillespie, A. (2005a). G.H. Mead: Theorist of the social act. Journal for the Theory of Social Behaviour, 35(1), 19–39.Google Scholar
Gillespie, A. (2005b). Malcolm X and his autobiography: Identity development and self-narration. Culture & Psychology, 11(1), 77–88.Google Scholar
Gillespie, A. (2006a). Descartes’ demon: A dialogical analysis of Meditations on First Philosophy. Theory & Psychology, 16(6), 761–781.Google Scholar
Gillespie, A. (2006b). Games and the development of perspective taking. Human Development, 49(2), 87–92.Google Scholar
Gillespie, A. (2007a). Collapsing Self/Other positions: Identification through differentiation. British Journal of Social Psychology, 46(3), 579–595.Google Scholar
Gillespie, A. (2007b). The social basis of self-reflection. In Valsiner, J. & Rosa, A. (Eds.), The Cambridge handbook of sociocultural psychology (pp. 678–691). Cambridge University Press.Google Scholar
Gillespie, A. (2012). Position exchange: The social development of agency. New Ideas in Psychology, 30, 32–46. https://doi.org/10.1016/j.newideapsych.2010.03.004Google Scholar
Gillespie, A. (2018). Distinguishing two processes of self-reflection. In Valsiner, J. & Rosa, A. (Eds.), The Cambridge handbook of sociocultural psychology (pp. 245–259). Cambridge University Press.Google Scholar
Gillespie, A. (2020a). Disruption, self-presentation, and defensive tactics at the threshold of learning. Review of General Psychology, 24(4), 382–396. https://doi.org/10.1177/1089268020914258Google Scholar
Gillespie, A. (2020b). Semantic contact and semantic barriers: Reactionary responses to disruptive ideas. Current Opinion in Psychology, 35, 21–25. https://doi.org/10.1016/j.copsyc.2020.02.010Google Scholar
Gillespie, A., Best, C., & O’Neill, B. (2012). Cognitive function and assistive technology for cognition: A systematic review. Journal of the International Neuropsychological Society, 18, 1–19. https://doi.org/10.1017/S1355617711001548Google Scholar
Gillespie, A., & Cornish, F. (2014). Sensitizing questions: A method to facilitate analyzing the meaning of an utterance. Integrative Psychological and Behavioral Science, 48(4), 435–452. https://doi.org/10.1007/s12124-014-9265-3Google Scholar
Gillespie, A., Cornish, F., Aveling, E.-L., & Zittoun, T. (2007). Conflicting community commitments: A dialogical analysis of a British woman’s World War II diaries. Journal of Community Psychology, 36(1), 35–52.Google Scholar
Gillespie, A., & Corti, K. (2016). The body that speaks: Recombining bodies and speech sources in unscripted face-to-face communication. Frontiers in Psychology, 1300. https://doi.org/10.3389/fpsyg.2016.01300Google Scholar
Gillespie, A., Corti, K., Evans, S., & Heasman, B. (2017). Imagining the self through cultural technologies. Handbook of Imagination and Culture, 301–318.Google Scholar
Gillespie, A., & Martin, J. (2014). Position Exchange Theory: A socio-material basis for discursive and psychological positioning. New Ideas in Psychology, 32, 73–79.Google Scholar
Gillespie, A., & Reader, T. W. (2016). The Healthcare Complaints Analysis Tool: Development and reliability testing of a method for service monitoring and organisational learning. BMJ Quality & Safety, 25(12), 937–946. https://doi.org/10.1136/bmjqs-2015-004596Google Scholar
Gillespie, A., & Reader, T. W. (2018). Patient-centered insights: Using health care complaints to reveal hot spots and blind spots in quality and safety. The Milbank Quarterly, 96(3), 530–567. https://doi.org/10.1111/1468-0009.12338Google Scholar
Gillespie, A., & Reader, T. W. (2022). Online patient feedback as a safety valve: An automated language analysis of unnoticed and unresolved safety incidents. Risk Analysis, n/a(n/a). https://doi.org/10.1111/risa.14002Google Scholar
Gillespie, A., & Zittoun, T. (2010). Using resources: Conceptualizing the mediation and reflective use of tools and signs. Culture & Psychology, 16(1), 37–62. https://doi.org/10.1177/1354067X09344888Google Scholar
Gillon, S. M. (2001). Unintended consequences [Why our plans don’t go according to plan]. The Futurist, 35(2), 49–53.Google Scholar
Glӑveanu, V. P. (2010). Paradigms in the study of creativity: Introducing the perspective of cultural psychology. New Ideas in Psychology, 28(1), 79–93.Google Scholar
Glӑveanu, V. P. (2011). Is the lightbulb still on? Social representations of creativity in a western context. International Journal of Creativity and Problem Solving, 21(1), 53–72.Google Scholar
Glӑveanu, V. P. (2014). Revisiting the “art bias” in lay conceptions of creativity. Creativity Research Journal, 26(1), 11–20. https://doi.org/10.1080/10400419.2014.873656Google Scholar
Glӑveanu, V. P. (2020a). The possible: A sociocultural theory. Oxford University Press.Google Scholar
Glӑveanu, V. P. (2020b). Wonder: The extraordinary power of an ordinary experience. Bloomsbury Academic.Google Scholar
Glӑveanu, V. P., & Gillespie, A. (2014). Creativity out of difference: Theorising the semiotic, social and temporal origin of creative acts. In Glӑveanu, V. P., Gillespie, A., & Valsiner, J. (Eds.), Rethinking creativity (pp. 25–39). Routledge.Google Scholar
Glӑveanu, V. P., & Gillespie, A. (2021). Cognition stays wild: A commentary on Ross and Vallée-Tourangeau’s rewilding cognition. Journal of Trial & Error, 2(1). https://doi.org/10.36850/r4Google Scholar
Glӑveanu, V. P., Gillespie, A., & Karwowski, M. (2019). Are people working together inclined towards practicality? A process analysis of creative ideation in individuals and dyads. Psychology of Aesthetics, Creativity, and the Arts, 13(4), 388–401. https://doi.org/10.1037/aca0000171Google Scholar
Glerup, C., Davies, S. R., & Horst, M. (2017). “Nothing really responsible goes on here”: Scientists’ experience and practice of responsibility. Journal of Responsible Innovation, 4(3), 319–336. https://doi.org/10.1080/23299460.2017.1378462Google Scholar
Gobo, G., Fielding, N. G., La Rocca, G., & van der Vaart, W. (2022). Merged methods: A rationale for full integration. SAGE.Google Scholar
Goertzel, T. (1994). Belief in conspiracy theories. Political Psychology, 731–742. https://doi.org/10.2307/3791630Google Scholar
Goffman, E. (1959). The presentation of self in everyday life. Penguin.Google Scholar
González-Bailón, S. (2013). Social science in the era of big data. Policy & Internet, 5(2), 147–160. https://doi.org/10.1002/1944-2866.POI328Google Scholar
Goodman, R. B. (1995). Pragmatism: A contemporary reader. Routledge.Google Scholar
Goodman, R. B. (2012). William James’s pluralisms. Revue Internationale de Philosophie, 260(2), 155–176. https://doi.org/10.3917/rip.260.0155Google Scholar
Gosden, C. (2004). The past and foreign countries: Colonial and post-colonial archaeology and anthropology. In Meskell, L. & Preucel, R. W. (Eds.), A companion to social archaeology (pp. 161–178). Blackwell.Google Scholar
Gould, S. J. (1981). The mismeasure of man. W. W. Norton & Company.Google Scholar
Graham, J., Haidt, J., Koleva, S., et al. (2013). Moral foundations theory: The pragmatic validity of moral pluralism. Advances in Experimental Social Psychology, 47, 55–130.Google Scholar
Graham, J., Haidt, J., & Nosek, B. A. (2009). Liberals and conservatives rely on different sets of moral foundations. Journal of Personality and Social Psychology, 96(5), 1029. https://doi.org/10.1037/a0015141Google Scholar
Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Toward a conceptual framework for mixed-method evaluation designs. Educational Evaluation and Policy Analysis, 11(3), 255–274. https://doi.org/10/cjqt52Google Scholar
Greenhalgh, T., & Russell, J. (2009). Evidence-based policymaking: A critique. Perspectives in Biology and Medicine, 52(2), 304–318. https://doi.org/10.1353/pbm.0.0085Google Scholar
Guastello, S. J., Koopmans, M., & Pincus, D. (2008). Chaos and complexity in psychology: The theory of nonlinear dynamical systems. Cambridge University Press.Google Scholar
Guba, E. G., & Lincoln, Y. S. (1994). Competing paradigms in qualitative research. Handbook of Qualitative Research, 2(163–194), 105.Google Scholar
Guess, A., Lyons, B., Nyhan, B., & Reifler, J. (2018). Avoiding the echo chamber about echo chambers: Why selective exposure to like-minded political news is less prevalent than you think. Knight Foundation White Paper.Google Scholar
Guetterman, T. C., Fetters, M. D., & Creswell, J. W. (2015). Integrating quantitative and qualitative results in health science mixed methods research through joint displays. The Annals of Family Medicine, 13(6), 554–561. https://doi.org/10/f7zj9rGoogle Scholar
Guetterman, T. C., Molina-Azorin, J. F., & Fetters, M. D. (2020). Virtual special issue on “integration in mixed methods research”. Journal of Mixed Methods Research, 14(4), 430–435. https://doi.org/10.1177/1558689820956401Google Scholar
Gupta, M., Rahman, A., Dutta, N. C., et al. (2020). Impact of a rural drowning reduction programme in Bangladesh on gender equity, norms and behaviour: A mixed-method analysis. BMJ Open, 10(12), e041065. https://doi.org/10.1136/bmjopen-2020-041065Google Scholar
Haack, S. (1976). The pragmatist theory of truth. The British Journal for the Philosophy of Science, 27(3), 231–249. https://doi.org/10.1093/bjps/27.3.231Google Scholar
Habermas, J. (1968). Knowledge and human interests. Polity Press.Google Scholar
Habermas, J. (1989). The structural transformation of the public sphere. Polity Press.Google Scholar
Hacking, I. (1995). The looping effects of human kinds. Causal Cognition: A Multidisciplinary Approach, 351–383.Google Scholar
Hacking, I. (1999). The social construction of what? Harvard University Press.Google Scholar
Hagan, T. L., Rosenzweig, M. Q., Zorn, K. K., van Londen, G. J., & Donovan, H. S. (2017). Perspectives on self-advocacy: Comparing perceived uses, benefits, and drawbacks among survivors and providers. Oncology Nursing Forum, 44(1), 52–59. https://doi.org/10.1188/17.ONF.52-59Google Scholar
Hagues, R. (2021). Conducting critical ethnography: Personal reflections on the role of the researcher. International Social Work, 64(3), 438–443. https://doi.org/10.1177/0020872818819731Google Scholar
Haig, B. D. (2005). An abductive theory of scientific method. Psychological Methods, 10(4), 371–388.Google Scholar
Hamad, E. O., Savundranayagam, M. Y., Holmes, J. D., Kinsella, E. A., & Johnson, A. M. (2016). Toward a mixed-methods research approach to content analysis in the digital age: The combined content-analysis model and its applications to health care twitter feeds. Journal of Medical Internet Research, 18(3), e5391. https://doi.org/10.2196/jmir.5391Google Scholar
Hammersley, M. (1996). The relationship between qualitative and quantitative research: Paradigm loyalty versus methodological eclecticism. In Richardson, J. T. E. (Ed.), Handbook of qualitative research methods for psychology and the social sciences (pp. 159–174). BPS Blackwell.Google Scholar
Hammersley, M. (2002). Research as emancipatory. Journal of Critical Realism, 1(1), 33–48. https://doi.org/10.1558/jocr.v1i1.33Google Scholar
Haney, C., Banks, C., & Zimbardo, P. (1973). Interpersonal dynamics in a simulated prison. International Journal of Criminology and Penology, 1(1), 69–97.Google Scholar
Haugestad, C. A. P., Skauge, A. D., Kunst, J. R., & Power, S. A. (2021). Why do youth participate in climate activism? A mixed-methods investigation of the #FridaysForFuture climate protests. Journal of Environmental Psychology, 76, 101647. https://doi.org/10.1016/j.jenvp.2021.101647Google Scholar
Hawlina, H., Gillespie, A., & Zittoun, T. (2019). Difficult differences: A socio-cultural analysis of how diversity can enable and inhibit creativity. The Journal of Creative Behavior, 53(2), 133–144. https://doi.org/10.1002/jocb.182Google Scholar
Hayes, S. C., & Hofmann, S. G. (2020). Beyond the DSM: Toward a process-based alternative for diagnosis and mental health treatment. New Harbinger Publications.Google Scholar
Hayes, S. C., Hofmann, S. G., Stanton, C. E., et al. (2019). The role of the individual in the coming era of process-based therapy. Behaviour Research and Therapy, 117, 40–53. https://doi.org/10.1016/j.brat.2018.10.005Google Scholar
Heasman, B., & Gillespie, A. (2017). Perspective-taking is two-sided: Misunderstandings between people with Asperger’s syndrome and their family members. Autism, 22(6), 740–750. https://doi.org/10.1177/1362361317708287Google Scholar
Hegel, G. W. F. (1807). Phenomenology of spirit. Oxford University Press.Google Scholar
Helbing, D. (2012). Social self-organization: Agent-based simulations and experiments to study emergent social behavior. Springer.Google Scholar
Henderson, K. A., Ainsworth, B. E., Stolarzcyk, L. M., Hootman, J. M., & Levin, S. (1999). Notes on linking qualitative and quantitative data: The cross cultural physical activity participation study. Leisure Sciences, 21(3), 247–255. https://doi.org/10.1080/014904099273138Google Scholar
Hendrick, C. (1977). Social psychology as an experimental science. In Hendrick, C. (Ed.), Perspectives on social psychology (pp. 1–74). Erlbaum.Google Scholar
Hesse-Biber, S. (2010). Emerging methodologies and methods practices in the field of mixed methods research. Qualitative Inquiry, 16(6), 415–418.Google Scholar
Hewstone, M., & Brown, R. (1986). Contact is not enough: An intergroup perspective on the “contact hypothesis.” In Hewstone, M. & Brown, R. (Eds.), Contact and conflict in intergroup encounters (pp. 1–44). Basil Blackwell.Google Scholar
Hirschberg, J., & Manning, C. D. (2015). Advances in natural language processing. Science, 349(6245), 261–266. https://doi.org/10.1126/science.aaa8685Google Scholar
Ho, P., Chen, K., Shao, A., et al. (2021). A mixed methods study of public perception of social distancing: Integrating qualitative and computational analyses for text data. Journal of Mixed Methods Research, 15(3), 374–397. https://doi.org/10/gmggzwGoogle Scholar
Hogan, B. (2015). From invisible algorithms to interactive affordances: Data after the ideology of machine learning. In Bertino, E. & Matei, S. A. (Eds.), Roles, trust, and reputation in social media knowledge markets (pp. 103–117). Springer.Google Scholar
Holstein, J. A., & Gubrium, J. F. (2013). Handbook of constructionist research. Guilford Publications.Google Scholar
Holton, G. (1975). On the role of themata in scientific thought. Science, 188(4186), 328–334.Google Scholar
Holton, J. A., & Walsh, I. (2016). Classic grounded theory: Applications with qualitative and quantitative data. SAGE.Google Scholar
Hood, K., Robling, M., Ingledew, D., et al. (2012). Mode of data elicitation, acquisition and response to surveys: A systematic review. Health Technology Assessment, 16(27), 1–162.Google Scholar
Hoover, J. (2016). Reconstructing human rights: A pragmatist and pluralist inquiry into global ethics. Oxford University Press.Google Scholar
Hunter, A. (2018). Towards a framework for computational persuasion with applications in behaviour change. Argument & Computation, 9(1), 15–40. https://doi.org/10.3233/AAC-170032Google Scholar
Hussein, A. (2009). The use of triangulation in social sciences research: Can qualitative and quantitative methods be combined. Journal of Comparative Social Work, 1(8), 1–12.Google Scholar
Imhoff, R., & Lamberty, P. (2018). How paranoid are conspiracy believers? Toward a more fine-grained understanding of the connect and disconnect between paranoia and belief in conspiracy theories. European Journal of Social Psychology, 48(7), 909–926. https://doi.org/10.1002/ejsp.2494Google Scholar
Jaccard, J., & Jacoby, J. (2020). Theory construction and model-building skills: A practical guide for social scientists. Guilford Press.Google Scholar
Jäger, K. (2016). Not a new gold standard: Even big data cannot predict the future. Critical Review, 28(3–4), 335–355. https://doi.org/10.1080/08913811.2016.1237704Google Scholar
James, W. (1882). On some Hegelisms. Mind, 7(26), 186–208.Google Scholar
James, W. (1890). Principles of psychology. Harvard University Press.Google Scholar
James, W. (1907). Pragmatism. Dover Publications.Google Scholar
James, W. (1912). Essays in radical empiricism. Longman Green and Co.Google Scholar
Janasik, N., Honkela, T., & Bruun, H. (2009). Text mining in qualitative research: Application of an unsupervised learning method. Organizational Research Methods, 12(3), 436–460. https://doi.org/10.1177/1094428108317202Google Scholar
Joas, H. (1993). Pragmatism and social theory. University of Chicago Press.Google Scholar
Johansen, M. B., & Frederiksen, J. T. (2021). Ethically important moments – A pragmatic-dualist research ethics. Journal of Academic Ethics, 19(2), 279–289. https://doi.org/10.1007/s10805-020-09377-yGoogle Scholar
John of Salisbury. (1159). Metalogicon (McGarry, D., Trans.). University of California Press.Google Scholar
Johnson, R. B. (2017). Dialectical pluralism: A metaparadigm whose time has come. Journal of Mixed Methods Research, 11(2), 156–173. https://doi.org/10.1177/1558689815607692Google Scholar
Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2007). Toward a definition of mixed methods research. Journal of Mixed Methods Research, 1(2), 112–133. https://doi.org/10.1177/1558689806298224Google Scholar
Jovanović, G. (2010). Historizing epistemology in psychology. Integrative Psychological and Behavioral Science, 44(4), 310–328. https://doi.org/10.1007/s12124-010-9132-9Google Scholar
Jovchelovitch, S. (2019). Knowledge in context: Representations, community and culture. Routledge.Google Scholar
Jovchelovitch, S., & Hawlina, H. (2018). Utopias and world-making: Time, transformation and the collective imagination. In de Saint-Laurent, C., Obradović, S., & Carriere, K. R. (Eds.), Imagining collective futures (pp. 129–151). Springer.Google Scholar
Just, D. R. (2019). Is the ban on deception necessary or even desirable? Food Policy, 83, 5–6. https://doi.org/10.1016/j.foodpol.2018.12.010Google Scholar
Kafka, F. (1915). The metamorphosis. Schocken Books.Google Scholar
Kakutani, M. (2018). The death of truth: Notes on falsehood in the age of Trump. William Collins.Google Scholar
Kaposi, D. (2017). The resistance experiments: Morality, authority and obedience in Stanley Milgram’s account. Journal for the Theory of Social Behaviour, 47(4), 382–401. https://doi.org/10.1111/jtsb.12137Google Scholar
Kauffman, S. (1996). At home in the universe: The search for the laws of self-organization and complexity. Oxford University Press.Google Scholar
Kaufman, J. C., & Glǎveanu, V. P. (2018). The road to uncreative science is paved with good intentions: Ideas, implementations, and uneasy balances. Perspectives on Psychological Science, 13(4), 457–465. https://doi.org/10.1177/1745691617753947Google Scholar
Kaushik, V., & Walsh, C. A. (2019). Pragmatism as a research paradigm and its implications for social work research. Social Sciences, 8(9), 255. https://doi.org/10.3390/socsci8090255Google Scholar
Kelly, L. M., & Cordeiro, M. (2020). Three principles of pragmatism for research on organizational processes. Methodological Innovations, 13(2), 2059799120937242. https://doi.org/10.1177/2059799120937242Google Scholar
Kerrigan, M. R. (2014). A framework for understanding community colleges’ organizational capacity for data use: A convergent parallel mixed methods study. Journal of Mixed Methods Research, 8(4), 341–362. https://doi.org/10/f6ngcvGoogle Scholar
Kessler, J. S. (2017). Scattertext: A browser-based tool for visualizing how corpora differ. ArXiv, Preprint ArXiv:1703.00565.Google Scholar
Kilpinen, E. (2009). Pragmatism as a philosophy of action. In Pihlström, S. & Rydenfelt, H. (Eds.), Pragmatist perspectives (pp. 163–179). Societas Philosophica Fennica.Google Scholar
Kim, Y., Russo, S., & Amnå, E. (2017). The longitudinal relation between online and offline political participation among youth at two different developmental stages. New Media & Society, 19(6), 899–917. https://doi.org/10.1177/1461444815624181Google Scholar
Knappertsbusch, F. (2020). “Fractal heuristics” for mixed methods research: Applying Abbott’s “fractal distinctions” as a conceptual metaphor for method integration. Journal of Mixed Methods Research, 14(4), 456–472. https://doi.org/10.1177/1558689819893573Google Scholar
Knight, L. W. (2008). Citizen: Jane Addams and the struggle for democracy. University of Chicago Press.Google Scholar
Kordzadeh, N., & Warren, J. (2013). Toward a typology of health 2.0 collaboration platforms and websites. Health and Technology, 3(1), 37–50. https://doi.org/10.1007/s12553-013-0043-xGoogle Scholar
Kowsari, K., Jafari Meimandi, K., Heidarysafa, M., et al. (2019). Text classification algorithms: A survey. Information, 10(4), 150. https://doi.org/10.3390/info10040150Google Scholar
Kreuzer, M. (2010). Historical knowledge and quantitative analysis: The case of the origins of proportional representation. American Political Science Review, 104(2), 369–392. https://doi.org/10.1017/S0003055410000122Google Scholar
Krippendorff, K. (2019). Content analysis: An introduction to its methodology, 4th edition. SAGE Publications.Google Scholar
Krpan, D. (2022). (When) should psychology be a science? Journal for the Theory of Social Behaviour, 52(1), 183–198. https://doi.org/10.1111/jtsb.12316Google Scholar
Kuhn, T. S. (1962). The structure of scientific revolutions. University of Chicago Press.Google Scholar
Kvale, S., & Brinkmann, S. (2008). Interviews: Learning the craft of qualitative research interviewing. SAGE.Google Scholar
Kyza, E. A., Varda, C., Panos, D., et al. (2020). Combating misinformation online: Re-imagining social media for policy-making. Internet Policy Review, 9(4), 1–24. https://doi.org/10.14763/2020.4.1514Google Scholar
LaFollette, H. (1997). Pragmatic ethics. In LaFollette, H. (Ed.), The Blackwell guide to ethical theory (pp. 400–419). Blackwell.Google Scholar
Lakoff, G., & Johnson, M. (1980). Metaphors we live by. University of Chicago Press.Google Scholar
Lakoff, G., & Johnson, M. (1999). Philosophy in the flesh: The embodied mind and its challenge to Western thought. Basic Books.Google Scholar
Lakoff, G., & Núñez, R. (2000). Where mathematics comes from. Basic Books.Google Scholar
Lamm, C., Decety, J., & Singer, T. (2011). Meta-analytic evidence for common and distinct neural networks associated with directly experienced pain and empathy for pain. Neuroimage, 54(3), 2492–2502. https://doi.org/10.1016/j.neuroimage.2010.10.014Google Scholar
Laplace, P. S. (1814). A philosophical essay on probabilities. Wiley.Google Scholar
Latour, B. (1993). We have never been modern. Harvard University Press.Google Scholar
Law, J. (2004). After method: Mess in social science research. Routledge.Google Scholar
Leary, D. E. (1990). Metaphors in the history of psychology. Cambridge University Press.Google Scholar
Lee, L. W., Dabirian, A., McCarthy, I. P., & Kietzmann, J. (2020). Making sense of text: Artificial intelligence-enabled content analysis. European Journal of Marketing, 54(3), 615–644. https://doi.org/10/gmt7m3Google Scholar
Leeson, W., Resnick, A., Alexander, D., & Rovers, J. (2019). Natural language processing (NLP) in qualitative public health research: A proof of concept study. International Journal of Qualitative Methods, 18, 1609406919887021. https://doi.org/10.1177/1609406919887021Google Scholar
Leonelli, S. (2016). Locating ethics in data science: Responsibility and accountability in global and distributed knowledge production systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 374(2083), 20160122. https://doi.org/10.1098/rsta.2016.0122Google Scholar
Levinas, E. (1991). On thinking-of-the-other: Entre nous. The Athlone Press Ltd.Google Scholar
Lewandowsky, S., Ecker, U. K., & Cook, J. (2017). Beyond misinformation: Understanding and coping with the “post-truth” era. Journal of Applied Research in Memory and Cognition, 6(4), 353–369. https://doi.org/10.1016/j.jarmac.2017.07.008Google Scholar
Lewandowsky, S., Ecker, U. K., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106–131. https://doi.org/10.1177/1529100612451018Google Scholar
Lewandowsky, S., Oberauer, K., & Gignac, G. E. (2013). NASA faked the moon landing—therefore,(climate) science is a hoax: An anatomy of the motivated rejection of science. Psychological Science, 24(5), 622–633. https://doi.org/10.1177/0956797612457686Google Scholar
Lewin, K. (1943). Psychology and the process of group living. Journal of Social Psychology, 17(1), 113–131. https://doi.org/10.1080/00224545.1943.9712269Google Scholar
Lieber, E. (2009). Mixing qualitative and quantitative methods: Insights into design and analysis issues. Journal of Ethnographic & Qualitative Research, 3(4), 218–227.Google Scholar
Linell, P. (2009). Rethinking language, mind, and world dialogically: Interactional and contextual theories of human sense-making. Information Age Publishing.Google Scholar
Liu, C. (2014). The three-body problem (Vol. 1). Macmillan.Google Scholar
Locke, J. (1847). An essay concerning human understanding. Kay & Troutman.Google Scholar
Love, H. R., & Corr, C. (2022). Integrating without quantitizing: Two examples of deductive analysis strategies within qualitatively driven mixed methods research. Journal of Mixed Methods Research, 16(1), 64–87. https://doi.org/10/gpdcq2Google Scholar
Ludwig, K. (2007). The epistemology of thought experiments: First person versus third person approaches. Midwest Studies in Philosophy, 31(1), 128–159.Google Scholar
Luria, A. R. (1968). The mind of a mnemonist: A little book about a vast memory. Harvard University Press.Google Scholar
Mach, K. J., Lemos, M. C., Meadow, A. M., et al. (2020). Actionable knowledge and the art of engagement. Current Opinion in Environmental Sustainability, 42, 30–37. https://doi.org/10.1016/j.cosust.2020.01.002Google Scholar
Macnab, N., Visser, J., & Daniels, H. (2007). Desperately seeking data: Methodological complications in researching “hard to find” young people. Journal of Research in Special Educational Needs, 7(3), 142–148. https://doi.org/10.1111/j.1471-3802.2007.00091.xGoogle Scholar
Madison, G. (2005). Habermas, psychoanalysis, and emancipation. Existential Analysis, 16(2), 209–220.Google Scholar
Malafouris, L. (2019). Mind and material engagement. Phenomenology and the Cognitive Sciences, 18(1), 1–17. https://doi.org/10.1007/s11097-018-9606-7Google Scholar
Manikandan, S. (2010). Preparing to analyse data. Journal of Pharmacology & Pharmacotherapeutics, 1(1), 64–65.Google Scholar
Mannell, J., Davis, K., Akter, K., et al. (2021). Visual participatory analysis: A qualitative method for engaging participants in interpreting the results of randomized controlled trials of health interventions. Journal of Mixed Methods Research, 15(1), 18–36. https://doi.org/10.1177/1558689820914806Google Scholar
Mantelero, A. (2018). AI and Big Data: A blueprint for a human rights, social and ethical impact assessment. Computer Law & Security Review, 34(4), 754–772. https://doi.org/10.1016/j.clsr.2018.05.017Google Scholar
Markie, P. (2004). Rationalism vs. empiricism. The Stanford Encyclopaedia of Philosophy. https://plato.stanford.edu/entries/rationalism-empiricismGoogle Scholar
Marková, I. (1982). Paradigms, thought and language. Wiley.Google Scholar
Marková, I. (2016). The dialogical mind. Cambridge University Press.Google Scholar
Marshall, M. N. (1996). Sampling for qualitative research. Family Practice, 13(6), 522–526. https://doi.org/10.1093/fampra/13.6.522Google Scholar
Martin, J. (2006). Reinterpreting internalization and agency through GH Mead’s perspectival realism. Human Development, 49, 65–86.Google Scholar
Martin, J., & Gillespie, A. (2013). Position exchange theory and personhood: Moving between positions and perspectives within physical, socio-cultural, and psychological space and time. In Martin, J., & Bickhard, M. H. (Eds.), The psychology of personhood (147–164). Cambridge University Press.Google Scholar
Martin, J., & Gillespie, A. (2020). Position exchange theory. In Glaveanu, V. (Ed.), The Palgrave Encyclopedia of the Possible (pp. 1–9). Springer International Publishing. https://doi.org/10.1007/978-3-319-98390-5_111-2.Google Scholar
Martin, J., & Sugarman, J. (2001). Interpreting human kinds: Beginnings of a hermeneutic psychology. Theory & Psychology, 11(2), 193–207. https://doi.org/10.1177/0959354301112003Google Scholar
Martin, K. (2019). Ethical implications and accountability of algorithms. Journal of Business Ethics, 160(4), 835–850. https://doi.org/10.1007/s10551-018-3921-3Google Scholar
Masson, M. E. J. (2011). A tutorial on a practical Bayesian alternative to null-hypothesis significance testing. Behavior Research Methods, 43(3), 679–690. https://doi.org/10.3758/s13428-010-0049-5Google Scholar
Mayer-Schönberger, V., & Ramge, T. (2022). The data boom is here-it’s just not evenly distributed. MIT Sloan Management Review, 63(3), 7–9.Google Scholar
McCain, K. W. (2015). “Nothing as practical as a good theory” Does Lewin’s maxim still have salience in the applied social sciences? Proceedings of the Association for Information Science and Technology, 52(1), 1–4. https://doi.org/10.1002/pra2.2015.145052010077Google Scholar
McCloskey, D. N. (1995). Metaphors economists live by. Social Research, 62(2), 215–237.Google Scholar
McCrudden, M. T., Marchand, G., & Schutz, P. A. (2021). Joint displays for mixed methods research in psychology. Methods in Psychology, 5, 100067. https://doi.org/10.1016/j.metip.2021.100067Google Scholar
McGuire, W. J. (1997). Creative hypothesis generating in psychology: Some useful heuristics. Annual Review of Psychology, 48(1), 1–30.Google Scholar
McIntyre, A. (2008). Participatory action research. SAGE Publications.Google Scholar
McIntyre, L. (2018). Post-truth. MIT Press.Google Scholar
McNamee, S. (1988). Accepting research as social intervention: Implications of a systemic epistemology. Communication Quarterly, 36(1), 50–68. https://doi.org/10.1080/01463378809369707Google Scholar
Mead, G. H. (1903). The definition of the psychical. Decennial Publications of the University of Chicago, 1(3), 77–112.Google Scholar
Mead, G. H. (1912). The mechanism of social consciousness. The Journal of Philosophy, Psychology and Scientific Methods, 9(15), 401–406.Google Scholar
Mead, G. H. (1913). The social self. Journal of Philosophy, Psychology and Scientific Methods, 10(14), 374–380.Google Scholar
Mead, G. H. (1917). Scientific method and individual thinker. In Dewey, J., Moore, A. W., Brown, H. C., Mead, G. H., Bode, B. H., Stuart, H. W., Tufts, J. H., & Kallen, H. M. (Eds.), Creative intelligence: Essays in the pragmatic attitude (pp. 176–227). Henry Holt and Co.Google Scholar
Mead, G. H. (1925). The genesis of self and social control. International Journal of Ethics, 35(3), 251–277.Google Scholar
Mead, G. H. (1926). The objective reality of perspectives. In Brightman, S. (Ed.) Proceedings of the Sixth International Congress of Philosophy (pp. 75–85). Longmans, Green, and Co.Google Scholar
Mead, G. H. (1932). The philosophy of the present. Open Court.Google Scholar
Mead, G. H. (1934). Mind, self & society from the standpoint of a social behaviorist. University of Chicago Press.Google Scholar
Mead, G. H. (1936). Movements of thought in the nineteenth century (Moore, M. H., Ed.). University of Chicago Press.Google Scholar
Mead, G. H. (1964a). On social psychology: Selected papers. University of Chicago Press.Google Scholar
Mead, G. H. (1964b). Selected writings (A. J. Reck, Ed.). Bobbs-Merrill.Google Scholar
Mearns, K., Kirwan, B., Reader, T. W., et al. (2013). Development of a methodology for understanding and enhancing safety culture in Air Traffic Management. Safety Science, 53, 123–133. https://doi.org/10.1016/j.ssci.2012.09.001Google Scholar
Mede, N. G., Schäfer, M. S., Ziegler, R., & Weißkopf, M. (2021). The “replication crisis” in the public eye: Germans’ awareness and perceptions of the (ir)reproducibility of scientific research. Public Understanding of Science, 30(1), 91–102. https://doi.org/10.1177/0963662520954370Google Scholar
Melles, G. (2008). An enlarged pragmatist inquiry paradigm for methodological pluralism in academic design research. Artifact: Journal of Design Practice, 2(1), 3–13.Google Scholar
Merchant, C. (2015). Autonomous nature: Problems of prediction and control from ancient times to the scientific revolution. Routledge.Google Scholar
Merleau-Ponty, M. (1945). Phenomenology of perception. Routledge.Google Scholar
Mertens, D. M. (2007). Transformative paradigm: Mixed methods and social justice. Journal of Mixed Methods Research, 1(3), 212–225. https://doi.org/10/bn9hm3Google Scholar
Merton, R. K. (1936). The unanticipated consequences of purposive social action. American Sociological Review, 1(6), 894–904.Google Scholar
Midgley, M. (2003). The myths we live by. Taylor & Francis. https://doi.org/10.4324/9780203480922Google Scholar
Milgram, S. (1969). Obedience to authority: An experimental view. Harper Torchbooks.Google Scholar
Milgram, S. (1992). Cyranoids. In Milgram, S., Sabini, J. E., & Silver, M. E. (Eds.), The Individual in a social world (pp. 337–345). McGraw-Hill.Google Scholar
Miller, G. A. (1956). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63(2), 81.Google Scholar
Miller, R. (2010). Embracing complexity and using the future. Ethos, 10(10), 23–28.Google Scholar
Mitchell, A. (2018). A review of mixed methods, pragmatism and abduction techniques. The Electronic Journal of Business Research Method, 16(3), 103–116.Google Scholar
Molina-Azorin, J. F., & Fetters, M. D. (2022). Books on mixed methods research: A window on the growth in number and diversity. Journal of Mixed Methods Research, 16(1), 8–16.Google Scholar
Montiel, C. J., & Uyheng, J. (2022). Foundations for a decolonial big data psychology. Journal of Social Issues, 78(2), 278–297. https://doi.org/10.1111/josi.12439Google Scholar
Moore, H., & Gillespie, A. (2014). The caregiving bind: Concealing the demands of informal care can undermine the caregiving identity. Social Science & Medicine, 116, 102–109. https://doi.org/10.1016/j.socscimed.2014.06.038Google Scholar
Moran-Ellis, J., Alexander, V. D., Cronin, A., et al. (2006). Triangulation and integration: Processes, claims and implications. Qualitative Research, 6(1), 45–59. https://doi.org/10.1177/1468794106058870Google Scholar
Moretti, F. (2013). Distant reading. Verso Books.Google Scholar
Morgan, D. L. (2007). Paradigms lost and pragmatism regained: Methodological implications of combining qualitative and quantitative methods. Journal of Mixed Methods Research, 1(1), 48–76. https://doi.org/10.1177/2345678906292462Google Scholar
Morgan, D. L. (2014a). Pragmatism as a paradigm for social research. Qualitative Inquiry, 20(8), 1045–1053. https://doi.org/10.1177/1077800413513733Google Scholar
Morgan, D. L. (2018). Living within blurry boundaries: The value of distinguishing between qualitative and quantitative research. Journal of Mixed Methods Research, 12(3), 268–279. https://doi.org/10/gdtbrnGoogle Scholar
Morgan, M. (2014b). The poverty of (moral) philosophy: Towards an empirical and pragmatic ethics. European Journal of Social Theory, 17(2), 129–146. https://doi.org/10.1177/1368431013505016Google Scholar
Morse, J. M. (1991). Approaches to qualitative-quantitative methodological triangulation. Nursing Research, 40(2), 120–123. https://doi.org/10.1097/00006199-199103000-00014Google Scholar
Morse, J. M. (2010). “Cherry picking”: Writing from thin data. Qualitative Health Research, 20(1), 3. https://doi.org/10.1177/1049732309354285Google Scholar
Moscovici, S. (1987). The conspiracy mentality. In Graumann, C. F. & Moscovici, S. (Eds.), Changing conceptions of conspiracy (pp. 151–169). Springer-Verlag.Google Scholar
Moscovici, S. (1991). Experiment and experience: An intermediate step from Sherif to Asch. Journal for the Theory of Social Behaviour, 21(3), 253–268.Google Scholar
Moscovici, S. E., Mucchi-Faina, A. E., & Maass, A. E. (1994). Minority influence. Nelson-Hall Publishers.Google Scholar
Mulej, M. (2007). Systems theory: A worldview and/or a methodology aimed at requisite holism/realism of humans’ thinking, decisions and action. Systems Research and Behavioral Science 24(3), 347–357. https://doi.org/10.1002/sres.810Google Scholar
Mulhall, A. (2003). In the field: Notes on observation in qualitative research. Journal of Advanced Nursing, 41(3), 306–313. https://doi.org/10.1046/j.1365-2648.2003.02514.xGoogle Scholar
Mullen, B., Johnson, C., & Salas, E. (1991). Productivity loss in brainstorming groups: A meta-analytic integration. Basic and Applied Social Psychology, 12(1), 3–23.Google Scholar
Nasie, M., Bar-Tal, D., Pliskin, R., Nahhas, E., & Halperin, E. (2014). Overcoming the barrier of narrative adherence in conflicts through awareness of the psychological bias of naïve realism. Personality and Social Psychology Bulletin , 40(11), 1543–1556.Google Scholar
Nastasi, B. K., Hitchcock, J., Sarkar, S., et al. (2007). Mixed methods in intervention research: Theory to adaptation. Journal of Mixed Methods Research, 1(2), 164–182. https://doi.org/10.1177/1558689806298181Google Scholar
Neuman, Y. (2016). Computational personality analysis: Introduction, practical applications and novel directions. Springer International Publishing. https://doi.org/10.1007/978-3-319-42460-6Google Scholar
Newell, A. (1973). You can’t play 20 questions with nature and win: Projective comments on the papers of this symposium. In Chase, W. G. (Ed.), Visual information processing (pp. 283–308). Academic Press.Google Scholar
Niculae, V., Kumar, S., Boyd-Graber, J., & Danescu-Niculescu-Mizil, C. (2015). Linguistic harbingers of betrayal: A case study on an online strategy game. ArXiv Preprint ArXiv:1506.04744.Google Scholar
Nisbett, R. E., & Cohen, D. (1996). Culture of honor: The psychology of violence in the south. Routledge.Google Scholar
Noort, M. C., Reader, T. W., & Gillespie, A. (2019a). Speaking up to prevent harm: A systematic review of the safety voice literature. Safety Science, 117, 375–387. https://doi.org/10.1016/j.ssci.2019.04.039Google Scholar
Noort, M. C., Reader, T. W., & Gillespie, A. (2019b). Walking the plank: An experimental paradigm to investigate safety voice. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.00668Google Scholar
Noort, M. C., Reader, T. W., & Gillespie, A. (2021a). Cockpit voice recorder transcript data: Capturing safety voice and safety listening during historic aviation accidents. Data in Brief, 39, 107602.Google Scholar
Noort, M. C., Reader, T. W., & Gillespie, A. (2021b). Sounds of silence: Data for analysing muted safety voice in speech. Data in Brief, 37, 107186. https://doi.org/10.1016/j.dib.2021.107186Google Scholar
Noort, M. C., Reader, T. W., & Gillespie, A. (2021c). The sounds of safety silence: Interventions and temporal patterns unmute unique safety voice content in speech. Safety Science, 140, 105289. https://doi.org/10.1016/j.ssci.2021.105289Google Scholar
Norman, D. A. (1967). Temporal confusions and limited capacity processors. Acta Psychologica, 27, 293–297. https://doi.org/10.1016/0001-6918(67)90071-6Google Scholar
Norton, J. (1991). Thought experiments in Einstein’s work. In Horowitz, T. & Massey, G. J. (Eds.), Thought experiments in science and philosophy (Vol. 1991). Rowman & Littlefield Publishers. http://philsci-archive.pitt.edu/archive/00003190/01/8_norton.pdfGoogle Scholar
Nosek, B. A., Beck, E. D., Campbell, L., et al. (2019). Preregistration is hard, and worthwhile. Trends in Cognitive Sciences, 23(10), 815–818. https://doi.org/10.1016/j.tics.2019.07.009Google Scholar
Nzabonimpa, J. P. (2018). Quantitizing and qualitizing (im-)possibilities in mixed methods research. Methodological Innovations, 11(2), 1–16. https://doi.org/10.1177/2059799118789021Google Scholar
Obradović, S., & Sheehy-Skeffington, J. (2020). Power, identity, and belonging: A mixed-methods study of the processes shaping perceptions of EU integration in a prospective member state. European Journal of Social Psychology, 50(7), 1425–1442. https://doi.org/10.1002/ejsp.2691Google Scholar
O’Halloran, K. L., Pal, G., & Jin, M. (2021). Multimodal approach to analysing big social and news media data. Discourse, Context & Media, 40, 100467. https://doi.org/10.1016/j.dcm.2021.100467Google Scholar
O’Halloran, K. L., Tan, S., Pham, D.-S., Bateman, J., & Vande Moere, A. (2018). A digital mixed methods research design: Integrating multimodal analysis with data mining and information visualization for big data analytics. Journal of Mixed Methods Research, 12(1), 11–30. https://doi.org/10.1177/1558689816651015Google Scholar
O’Neil, C. (2016). Weapons of math destruction. Crown.Google Scholar
Onwuegbuzie, A. J., & Johnson, R. B. (2021). The Routledge reviewer’s guide to mixed methods analysis. Routledge.Google Scholar
Onwuegbuzie, A. J., & Leech, N. L. (2005). On becoming a pragmatic researcher: The importance of combining quantitative and qualitative research methodologies. International Journal of Social Research Methodology, 8(5), 375–387. https://doi.org/10.1080/13645570500402447Google Scholar
Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), aac4716. https://doi.org/10.1126/science.aac4716Google Scholar
Page, S. E. (2015). What sociologists should know about complexity. Annual Review of Sociology, 41, 21–41. https://doi.org/10.1146/annurev-soc-073014-112230Google Scholar
Paluck, E. L., Green, S. A., & Green, D. P. (2019). The contact hypothesis re-evaluated. Behavioural Public Policy, 3(2), 129–158. https://doi.org/10.1017/bpp.2018.25Google Scholar
Parker, I. (1998). Social constructionism, discourse and realism. SAGE.Google Scholar
Paschalides, D., Stephanidis, D., Andreou, A., et al. (2020). Mandola: A big-data processing and visualization platform for monitoring and detecting online hate speech. ACM Transactions on Internet Technology (TOIT), 20(2), 1–21. https://doi.org/10.1145/3371276Google Scholar
Patterson, D. M. (1990). Law’s pragmatism: Law as practice & narrative. Virginia Law Review, 76(5), 937–996. https://doi.org/10.2307/1073154Google Scholar
Peirce, C. S. (1878). How to make our ideas clear. Popular Science Monthly, 12(January), 286–302.Google Scholar
Peirce, C. S. (1894). What is a sign? In Craig, R. T. & Muller, H. L. (Eds.), Theorizing communication: Readings across traditions (pp. 177–182). SAGE.Google Scholar
Peirce, C. S. (1955). Philosophical writings of Peirce. Dover Publications, Inc.Google Scholar
Peirce, C. S. (1974). Collected papers of Charles Sanders Peirce. Harvard University Press.Google Scholar
Peirce, C. S. (1992). The essential Peirce: Selected philosophical writings (Vol. 2). Indiana University Press.Google Scholar
Perlstadt, H. (2018). How to get out of the Stanford prison experiment: Revisiting social science research ethics. Journal of Social Sciences and Humanities, 1(2), 45–59.Google Scholar
Pettigrew, T. F. (1998). Intergroup contact theory. Annual Review of Psychology, 49(1), 65–85. https://doi.org/10.1146/annurev.psych.49.1.65Google Scholar
Phillips, D. C. (1995). The good, the bad, and the ugly: The many faces of constructivism. Educational Researcher, 24(7), 5–12. https://doi.org/10.3102/0013189X024007005Google Scholar
Piaget, J. (1977). The development of thought: Equilibration of cognitive structures. Viking.Google Scholar
Pinfield, S., Salter, J., Bath, P. A., et al. (2014). Open-access repositories worldwide, 2005–2012: Past growth, current characteristics, and future possibilities. Journal of the Association for Information Science and Technology, 65(12), 2404–2421. https://doi.org/10.1002/asi.23131Google Scholar
Pokhrel, P., Herzog, T. A., Muranaka, N., & Fagan, P. (2015). Young adult e-cigarette users’ reasons for liking and not liking e-cigarettes: A qualitative study. Psychology & Health, 30(12), 1450–1469. https://doi.org/10.1080/08870446.2015.1061129Google Scholar
Poli, R. (2017). Introduction to anticipation studies. Springer.Google Scholar
Popper, K. (1934). The logic of scientific discovery. Routledge.Google Scholar
Popper, K. (1969). Conjectures and refutations: The growth of scientific knowledge. Routledge & Kegan Paul.Google Scholar
Poth, C. N. (2018). Innovation in mixed methods research: A practical guide to integrative thinking with complexity. SAGE.Google Scholar
Poth, C. N., Bulut, O., Aquilina, A. M., & Otto, S. J. G. (2021). Using Data mining for rapid complex case study descriptions: Example of public health briefings during the onset of the COVID-19 pandemic. Journal of Mixed Methods Research, 15586898211013924. https://doi.org/10.1177/15586898211013925Google Scholar
Power, S. A. (2018). The deprivation-protest paradox: How the perception of unfair economic inequality leads to civic unrest. Current Anthropology, 59(6), 765–789. https://doi.org/10.1086/700679Google Scholar
Power, S. A., Velez, G., Qadafi, A., & Tennant, J. (2018). The SAGE model of social psychological research. Perspectives on Psychological Science, 13(3), 359–372. https://doi.org/10.1177/1745691617734863Google Scholar
Power, S. A., Zittoun, T., Akkerman, S., et al. (2023). Social psychology of and for world-making. Personality and Social Psychology Review, 10888683221145756. https://doi.org/10.1177/10888683221145756Google Scholar
Prasad, A. (2022). Anti-science misinformation and conspiracies: COVID–19, post-truth, and science & technology studies (STS). Science, Technology and Society, 27(1), 88–112. https://doi.org/10.1177/09717218211003413Google Scholar
Preissle, J., Glover-Kudon, R., Rohan, E. A., Boehm, J. E., & DeGroff, A. (2015). Putting ethics on the mixed methods map. In Hesse-Biber, S. & Johnson, B. R. (Eds.), The Oxford handbook of multimethod and mixed methods research inquiry (pp. 144–166). Oxford University Press.Google Scholar
Psaltis, C., & Duveen, G. (2006). Social relations and cognitive development: The influence of conversation type and representations of gender. European Journal of Social Psychology, 36(3), 407–430.Google Scholar
Psaltis, C., & Duveen, G. (2007). Conservation and conversation types: Forms of recognition and cognitive development. British Journal of Developmental Psychology, 25(1), 79–102.Google Scholar
Putnam, H. (1974). Meaning and reference. The Journal of Philosophy, 70(19), 699–711. https://doi.org/10.2307/2025079Google Scholar
Putnam, H. (1995). Words and life. Harvard University Press.Google Scholar
Qu, S. Q., & Dumay, J. (2011). The qualitative research interview. Qualitative Research in Accounting & Management, 8(3), 238–264. https://doi.org/10.1108/11766091111162070Google Scholar
Rawls, J. (1971). A theory of justice. Belknap Press.Google Scholar
Reader, T. W., & Gillespie, A. (2021). Stakeholders in safety: Patient reports on unsafe clinical behaviors distinguish hospital mortality rates. Journal of Applied Psychology, 106(3), 439–451. http://dx.doi.org/10.1037/apl0000507Google Scholar
Reader, T. W., & Gillespie, A. (2022). Developing a battery of measures for unobtrusive indicators of organisational culture: A research note. Journal of Risk Research, 0(0), 1–18. https://doi.org/10.1080/13669877.2022.2108116Google Scholar
Reader, T. W., Gillespie, A., Hald, J., & Patterson, M. (2020). Unobtrusive indicators of culture for organizations: A systematic review. European Journal of Work and Organizational Psychology, 29(5), 633–649. https://doi.org/10.1080/1359432X.2020.1764536Google Scholar
Reader, T. W., Gillespie, A., & Roberts, J. (2014). Patient complaints in healthcare systems: A systematic review and coding taxonomy. BMJ Quality & Safety, 23(8), 678–689. https://doi.org/10.1136/bmjqs-2013-002437Google Scholar
Reeve, C. D. (2004). Plato: Republic. Hackett Publishing Company.Google Scholar
Renz, S. M., Carrington, J. M., & Badger, T. A. (2018). Two strategies for qualitative content analysis: An intramethod approach to triangulation. Qualitative Health Research, 28(5), 824–831. https://doi.org/10.1177/1049732317753586Google Scholar
Rice, J. A. (2007). Mathematical statistics and data analysis. Cengage Learning.Google Scholar
Rodriguez, M. Y., & Storer, H. (2020). A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data. Journal of Technology in Human Services, 38(1), 54–86. https://doi.org/10/gg2wrwGoogle Scholar
Roots, E. (2007). Making connections: The relationship between epistemology and research methods. Special Edition Papers, 19(1), 19–27.Google Scholar
Rorty, R. (1981). Philosophy and the mirror of nature. Princeton University Press.Google Scholar
Rorty, R. (1982). Consequences of pragmatism: Essays, 1972-1980. University of Minnesota Press.Google Scholar
Rorty, R. (1989). Contingency, irony, and solidarity. Cambridge University Press.Google Scholar
Rorty, R. (1998). Truth and progress: Philosophical papers. Cambridge University Press.Google Scholar
Rorty, R. (1999). Philosophy and social hope. Penguin.Google Scholar
Rose, N. (1998). Inventing our selves: Psychology, power, and personhood. Cambridge University Press.Google Scholar
Rosenbaum, P. J., & Valsiner, J. (2011). The un-making of a method: From rating scales to the study of psychological processes. Theory & Psychology, 21(1), 47–65. https://doi.org/10.1177/0959354309352913Google Scholar
Ross, W., & Vallée-Tourangeau, F. (2021). Rewilding cognition: Complex dynamics in open experimental systems. Journal of Trial and Error. https://doi.org/10.36850/e4Google Scholar
Rozin, P. (2001). Social psychology and science: Some lessons from Solomon Asch. Personality and Social Psychology Review, 5(1), 2–14. https://doi.org/10.1207/S15327957PSPR0501_1Google Scholar
Rozin, P. (2009). What kind of empirical research should we publish, fund, and reward? A different perspective. Perspectives on Psychological Science, 4(4), 435–439. https://doi.org/10.1111/j.1745-6924.2009.01151.xGoogle Scholar
Rubin, H. J., & Rubin, I. S. (2005). The first phase of analysis: Preparing transcripts and coding data. In Rubin, H. J. & Rubin, I. S. (Eds.), Qualitative interviewing: The art of hearing data (pp. 201–223). SAGE.Google Scholar
Rubin, M., & Donkin, C. (2022). Exploratory hypothesis tests can be more compelling than confirmatory hypothesis tests. Philosophical Psychology, 0(0), 1–29. https://doi.org/10.1080/09515089.2022.2113771Google Scholar
Runco, M. A. (2010). Divergent thinking, creativity, and ideation. Ablex Publishing Corporation.Google Scholar
Said, E. W. (1978). Orientalism: Western conceptions of the Orient. Penguin.Google Scholar
Sale, J. E., Lohfeld, L. H., & Brazil, K. (2002). Revisiting the quantitative-qualitative debate: Implications for mixed-methods research. Quality and Quantity, 36(1), 43–53. https://doi.org/10/bczskdGoogle Scholar
Salganik, M. (2019). Bit by bit: Social research in the digital age. Princeton University Press.Google Scholar
Sandelowski, M., Voils, C. I., & Knafl, G. (2009). On quantitizing. Journal of Mixed Methods Research, 3(3), 208–222. https://doi.org/10.1177/1558689809334210Google Scholar
Sanderson, I. (2002). Evaluation, policy learning and evidence-based policy making. Public Administration, 80(1), 1–22. https://doi.org/10.1111/1467-9299.00292Google Scholar
Sandoval, C. (2013). Methodology of the oppressed. University of Minnesota Press.Google Scholar
Saussure, F. (1916). Course in general linguistics. Open Court.Google Scholar
Schaffner, B. F., & Luks, S. (2018). Misinformation or expressive responding? What an inauguration crowd can tell us about the source of political misinformation in surveys. Public Opinion Quarterly, 82(1), 135–147. https://doi.org/10.1093/poq/nfx042Google Scholar
Scheel, A. M., Tiokhin, L., Isager, P. M., & Lakens, D. (2020). Why hypothesis testers should spend less time testing hypotheses. Perspectives on Psychological Science, 16(4), 744–755. https://doi.org/10.1177/1745691620966795Google Scholar
Schegloff, E. A. (1992). Repair after next turn: The last structurally provided defence of intersubjectivity in conversation. The American Journal of Sociology, 97(5), 1295–1345.Google Scholar
Schegloff, E. A. (2007). Sequence organization in interaction: A primer in conversation analysis. Cambridge University Press.Google Scholar
Schilbach, L., Timmermans, B., Reddy, V., et al. (2013). Toward a second-person neuroscience. Behavioral and Brain Sciences, 36(04), 393–414.Google Scholar
Schoonenboom, J., & Johnson, R. B. (2017). How to construct a mixed methods research design. KZfSS Kölner Zeitschrift Für Soziologie Und Sozialpsychologie, 69(2), 107–131. https://doi.org/10.1007/s11577-017-0454-1Google Scholar
Schrag, Z. M. (2011). The case against ethics review in the social sciences. Research Ethics, 7(4), 120–131. https://doi.org/10.1177/174701611100700402Google Scholar
Schratz, M., & Walker, R. (2005). Research as social change: New opportunities for qualitative research. Routledge.Google Scholar
Schuetz, A. (1945). On multiple realities. Philosophy and Phenomenological Research, 5(4), 533–576.Google Scholar
Seale, C. (1999). The quality of qualitative research. SAGE Publications.Google Scholar
Searle, J. R. (1982). The Chinese room revisited. Behavioral and Brain Sciences, 5(2), 345–348. https://doi.org/10.1017/S0140525X00012425Google Scholar
Seawright, J. (2016). Multi-method social science: Combining qualitative and quantitative tools. Cambridge University Press.Google Scholar
Senghor, A. S., & Racine, E. (2022). How to evaluate the quality of an ethical deliberation? A pragmatist proposal for evaluation criteria and collaborative research. Medicine, Health Care and Philosophy, 1–18.Google Scholar
Senteio, C., Adler-Milstein, J., Richardson, C., & Veinot, T. (2019). Psychosocial information use for clinical decisions in diabetes care. Journal of the American Medical Informatics Association, 26(8–9), 813–824. https://doi.org/10.1093/jamia/ocz053Google Scholar
Serra, J. P. (2010). What is and what should pragmatic ethics be? Some remarks on recent scholarship. European Journal of Pragmatism and American Philosophy, 2(1–15).Google Scholar
Shabou, B. M., Tièche, J., Knafou, J., & Gaudinat, A. (2020). Algorithmic methods to explore the automation of the appraisal of structured and unstructured digital data. Records Management Journal, 30(2), 175–200.Google Scholar
Shahin, S. (2016). When scale meets depth: Integrating natural language processing and textual analysis for studying digital corpora. Communication Methods and Measures, 10(1), 28–50. https://doi.org/10.1080/19312458.2015.1118447Google Scholar
Shannon-Baker, P. (2016). Making paradigms meaningful in mixed methods research. Journal of Mixed Methods Research, 10(4), 319–334. https://doi.org/10/f84htcGoogle Scholar
Shehzad, W. (2011). Outlining purposes, stating the nature of the present research, and listing research questions or hypotheses in academic papers. Journal of Technical Writing and Communication, 41(2), 139–160. https://doi.org/10.2190/TW.41.2.cGoogle Scholar
Shergill, S. S., Murray, R. M., & McGuire, P. K. (1998). Auditory hallucinations: A review of psychological treatments. Schizophrenia Research, 32(3), 137–150. https://doi.org/10.1016/S0920-9964(98)00052-8Google Scholar
Shrout, P. E., & Rodgers, J. L. (2018). Psychology, science, and knowledge construction: Broadening perspectives from the replication crisis. Annual Review of Psychology, 69(1), 487–510. https://doi.org/10.1146/annurev-psych-122216-011845Google Scholar
Shweder, R. A. (1996). Quanta and qualia: What is the “object” of ethnographic method. In Jessor, R., Colby, A., & Shweder, R. A. (Eds.), Ethnography and human development: Context and meaning in social inquiry (pp. 175–182). University of Chicago Press.Google Scholar
Simpson, B., & den Hond, F. (2022). The contemporary resonances of classical pragmatism for studying organization and organizing. Organization Studies, 43(1), 127–146. https://doi.org/10.1177/0170840621991689Google Scholar
Sinclair, S., & Rockwell, G. (2016). Text analysis and visualization. In Schreibman, S., Siemens, R., & Unsworth, J. (Eds.), A new companion to digital humanities (pp. 274–290). John Wiley & Sons, Ltd. https://doi.org/10.1002/9781118680605.ch19Google Scholar
Skinner, B. F. (1989). The origins of cognitive thought. American Psychologist, 44(1), 13.Google Scholar
Smagorinsky, P. (1995). The social construction of data: Methodological problems of investigating learning in the zone of proximal development. Review of Educational Research, 65(3), 191–212. https://doi.org/10.3102/00346543065003191Google Scholar
Smith, R. J., Grande, D., & Merchant, R. M. (2016). Transforming scientific inquiry: Tapping into digital data by building a culture of transparency and consent. Academic Medicine: Journal of the Association of American Medical Colleges, 91(4), 469. https://doi.org/10.1097/ACM.0000000000001022Google Scholar
Stadnick, N. A., Poth, C. N., Guetterman, T. C., & Gallo, J. J. (2021). Advancing discussion of ethics in mixed methods health services research. BMC Health Services Research, 21(1), 1–9. https://doi.org/10.1186/s12913-021-06583-1Google Scholar
Stahl, C. C., & Literat, I. (2022). # GenZ on TikTok: The collective online self-Portrait of the social media generation. Journal of Youth Studies, 1–22. https://doi.org/10.1080/13676261.2022.2053671Google Scholar
Stainton Rogers, W. (2011). Social psychology. McGraw-Hill Education (UK).Google Scholar
Stebbins, R. A. (2001). Exploratory research in the social sciences. SAGE.Google Scholar
Stein, M. I. (1953). Creativity and culture. The Journal of Psychology, 36(2), 311–322. https://doi.org/10.1080/00223980.1953.9712897Google Scholar
Stewart, I., & Cohen, J. (1997). Figments of reality: The evolution of the curious mind. Cambridge University Press.Google Scholar
Stinson, C. (2022). Algorithms are not neutral: Bias in collaborative filtering. AI and Ethics, 2, 763–770.Google Scholar
Swami, V., Voracek, M., Stieger, S., Tran, U. S., & Furnham, A. (2014). Analytic thinking reduces belief in conspiracy theories. Cognition, 133(3), 572–585. https://doi.org/10.1016/j.cognition.2014.08.006Google Scholar
Swedberg, R. (2020). Using metaphors in sociology: Pitfalls and potentials. The American Sociologist, 51(2), 240–257. https://doi.org/10.1007/s12108-020-09443-3Google Scholar
Tanggaard, L. (2007). The research interview as discourses crossing swords: The researcher and apprentice on crossing roads. Qualitative Inquiry, 13(1), 160–176. https://doi.org/10.1177/1077800406294948Google Scholar
Tavory, I., & Timmermans, S. (2014). Abductive analysis: Theorizing qualitative research. University of Chicago Press.Google Scholar
Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. SAGE.Google Scholar
Tenner, E. (1996). Why things bite back: Technology and the revenge effect. Fourth Estate.Google Scholar
Thaler, R. H., & Sunstein, C. R. (2009). Nudge: Improving decisions about health, wealth, and happiness. Penguin.Google Scholar
Thompson, N. A., & Byrne, O. (2022). Imagining futures: Theorizing the practical knowledge of future-making. Organization Studies, 43(2), 247–268. https://doi.org/10.1177/01708406211053222Google Scholar
Toulmin, S. (1973). Human understanding, Vol. I: The collective use and evolution of concepts. Clarendon Press.Google Scholar
Toulmin, S. (1992). Cosmopolis: The hidden agenda of modernity. University of Chicago Press.Google Scholar
Tourish, D. (2020). The triumph of nonsense in management studies. Academy of Management Learning & Education, 19(1), 99–109. https://doi.org/10.5465/amle.2019.0255Google Scholar
Trafimow, D. (2022). Generalizing across auxiliary, statistical, and inferential assumptions. Journal for the Theory of Social Behaviour, 52(1), 37–48. https://doi.org/10.1111/jtsb.12296Google Scholar
Trochim, W. M., & Donnelly, J. P. (2021). Research methods knowledge base (Vol. 2). https://conjointly.com/kb/Google Scholar
Trott, C. D. (2019). Reshaping our world: Collaborating with children for community-based climate change action. Action Research, 17(1), 42–62. https://doi.org/10.1177/1476750319829209Google Scholar
Tukey, J. W. (1977). Exploratory data analysis (Vol. 2). Addison-Wesley Publishing Company.Google Scholar
Tukey, J. W. (1980). We need both exploratory and confirmatory. The American Statistician, 34(1), 23–25.Google Scholar
Tynes, R. (2021). Democracy’s savior or citizen spy? Surveillance & Society, 19(3), 350–353. https://doi.org/10.24908/ss.v19i3.15015Google Scholar
Valsiner, J. (1998). The guided mind. Harvard University Press.Google Scholar
Valsiner, J. (2006). Developmental epistemology and implications for methodology. In Lerner, R. M. (Ed.), Handbook of child psychology (pp. 166–209). John Wiley & Sons.Google Scholar
Valsiner, J. (2014). An invitation to cultural psychology. SAGE.Google Scholar
Van Dael, J., Gillespie, A., Reader, T., et al. (2021). Getting the whole story: Integrating patient complaints and staff reports of unsafe care. Journal of Health Services Research & Policy, 13558196211029324. https://doi.org/10.1177/13558196211029323Google Scholar
Van den Bossche, P., Gijselaers, W., Segers, M., Woltjer, G., & Kirschner, P. (2011). Team learning: Building shared mental models. Instructional Science, 39(3), 283–301. https://doi.org/10.1007/s11251-010-9128-3Google Scholar
van der Duin, P. (2019). Toward “responsible foresight”: Developing futures that enable matching future technologies with societal demands. World Futures Review, 11(1), 69–79. https://doi.org/10.1177/1946756718803721Google Scholar
Van Dijk, J. (2020). The digital divide. John Wiley & Sons.Google Scholar
van Huizen, L. S., Dijkstra, P., Halmos, G. B., et al. (2019). Does multidisciplinary videoconferencing between a head-and-neck cancer centre and its partner hospital add value to their patient care and decision-making? A mixed-method evaluation. BMJ Open, 9(11), e028609. https://doi.org/10.1136/bmjopen-2018-028609Google Scholar
van Velzen, J. H. (2018). Students’ general knowledge of the learning process: A mixed methods study illustrating integrated data collection and data consolidation. Journal of Mixed Methods Research, 12(2), 182–203. https://doi.org/10.1177/1558689816651792Google Scholar
Verkuyten, M. (2022). The meanings of tolerance: Discursive usage in a case of “identity politics”. Journal for the Theory of Social Behaviour, 52(2), 224–236. https://doi.org/10.1111/jtsb.12339Google Scholar
Vermeule, C. A., & Sunstein, C. R. (2009). Conspiracy theories: Causes and cures. Journal of Political Philosophy, 17(2), 202–227.Google Scholar
Vogeley, K. (2017). Two social brains: Neural mechanisms of intersubjectivity. Philosophical Transactions of the Royal Society B: Biological Sciences, 372(1727), 20160245. https://doi.org/10.1098/rstb.2016.0245Google Scholar
Vogl, S. (2019). Integrating and consolidating data in mixed methods data analysis: Examples from focus group data with children. Journal of Mixed Methods Research, 13(4), 536–554. https://doi.org/10/gd4twkGoogle Scholar
Voigt, K., Gottschall, M., Köberlein-Neu, J., et al. (2016). Why do family doctors prescribe potentially inappropriate medication to elderly patients? BMC Family Practice, 17(1), 93. https://doi.org/10.1186/s12875-016-0482-3Google Scholar
Von Uexküll, J. (1982). The theory of meaning. Semiotica, 42(1), 25–79.Google Scholar
Voros, J. (2003). A generic foresight process framework. Foresight, 5(3), 10–21. https://doi.org/10.1108/14636680310698379Google Scholar
Vygotsky, L. S., & Luria, A. (1994). Tool and symbol in child development. In Van de Veer, R. & Valsiner, J. (Eds.), The Vygotsky reader (pp. 99–174). Blackwell.Google Scholar
Wagoner, B., & Valsiner, J. (2005). Rating tasks in psychology: From static ontology to dialogical synthesis of meaning. In Gulerce, A., Hofmeister, A., Staeuble, I., Saunders, G., & Kaye, J. (Eds.), Contemporary theorizing in psychology (pp. 197–213). Captus Press.Google Scholar
Webb, E. J., Campbell, D. T., Schwartz, R. D., & Sechrest, L. (1966). Unobtrusive measures: Nonreactive research in the social sciences (Vol. 111). Rand McNally Chicago. www.ncjrs.gov/App/Publications/abstract.aspx?ID=48508Google Scholar
Wee, L. E., Cher, W. Q., Sin, D., Li, Z. C., & Koh, G. C.-H. (2016). Primary care characteristics and their association with health screening in a low-socioeconomic status public rental-flat population in Singapore-a mixed methods study. BMC Family Practice, 17(1), 1–14. https://doi.org/10.1186/s12875-016-0411-5Google Scholar
Wegener, C., Meier, N., & Maslo, E. (2018). Cultivating creativity in methodology and research. Springer.Google Scholar
Weiss, D. J. (2001). Deception by researchers is necessary and not necessarily evil. Behavioral and Brain Sciences, 24(3), 431. https://doi.org/10.1017/S0140525X01544143Google Scholar
Wenzel, M. (2022). Taking the future more seriously: From corporate foresight to “future-making”. Academy of Management Perspectives, 36(2), 845–850. https://doi.org/10.5465/amp.2020.0126Google Scholar
Werner, H. (1957). The concept of development from a comparative and organismic point of view. In Harris, D. B. (Ed.), The concept of development (pp. 125–147). University of Minnesota Press.Google Scholar
Wertsch, J. V. (1998). Mind as action. Oxford University Press.Google Scholar
West, C. (1989). The American evasion of philosophy. Springer.Google Scholar
Whittaker, L., & Gillespie, A. (2013). Social networking sites: Mediating the self and its communities. Journal of Community & Applied Social Psychology, 23(6), 492–504. https://doi.org/10.1002/casp.2148Google Scholar
Wicherts, J. M., Veldkamp, C. L. S., Augusteijn, H. E. M., et al. (2016). Degrees of freedom in planning, running, analyzing, and reporting psychological studies: A checklist to avoid p-hacking. Frontiers in Psychology, 7. https://doi.org/10/gc5sjnGoogle Scholar
Wicks, A. C., & Freeman, R. E. (1998). Organization studies and the new pragmatism: Positivism, anti-positivism, and the search for ethics. Organization Science, 9(2), 123–140. https://doi.org/10.1287/orsc.9.2.123Google Scholar
Wiedemann, G. (2013). Opening up to big data: Computer-assisted analysis of textual data in social sciences. Historical Social Research / Historische Sozialforschung, 38(4 (146)), 332–357.Google Scholar
Wight, C. (2018). Post-truth, postmodernism and alternative facts. New Perspectives, 26(3), 17-29,177. https://doi.org/10.1177/2336825X1802600302Google Scholar
Wilson, N. L., Just, D. R., Swigert, J., & Wansink, B. (2017). Food pantry selection solutions: A randomized controlled trial in client-choice food pantries to nudge clients to targeted foods. Journal of Public Health, 39(2), 366–372.Google Scholar
Wise, A. F., & Shaffer, D. W. (2015). Why theory matters more than ever in the age of big data. Journal of Learning Analytics, 2(2), 5–13. https://doi.org/10.18608/jla.2015.22.2Google Scholar
Wolfle, D., Likert, R., Marquis, D. G., & Sears, R. R. (1949). Standards for appraising psychological research. American Psychologist, 4(8), 320–328. https://doi.org/10.1037/h0057345Google Scholar
World Medical Association. (2022). Declaration of Helsinki – Ethical principles for medical research involving human subjects. World Medical Association. www.wma.net/policies-post/wma-declaration-of-helsinki-ethical-principles-for-medical-research-involving-human-subjects/Google Scholar
Wright, E. O. (2010). Envisioning real utopias. Verso.Google Scholar
Yao, Q., & Tong, H. (1994). On prediction and chaos in stochastic systems. Philosophical Transactions: Physical Sciences and Engineering, 348(1688), 357–369. https://doi.org/10.1098/rsta.1994.0096Google Scholar
Yaqoob, I., Hashem, I. A. T., Gani, A., et al. (2016). Big data: From beginning to future. International Journal of Information Management, 36(6), 1231–1247. https://doi.org/10.1016/j.ijinfomgt.2016.07.009Google Scholar
Yardley, L., & Bishop, F. (2017). Mixing qualitative and quantitative methods: A pragmatic approach. In Willig, C. & Stainton Rogers, W. (Eds.), The SAGE handbook of qualitative research in psychology (pp. 398–413). SAGE Publications.Google Scholar
Zeller, R. A., Zeller, R. A., & Carmines, E. G. (1980). Measurement in the social sciences: The link between theory and data. Cambridge University Press.Google Scholar
Zittoun, T., & Gillespie, A. (2015). Imagination in human and cultural development. Routledge.Google Scholar
Zittoun, T., & Gillespie, A. (2018). Imagining the collective future: A sociocultural perspective. In de Saint-Laurent, C., Obradović, S., & Carriere, K. R. (Eds.), Imagining collective futures (pp. 15–37). Palgrave. https://doi.org/10.1007/978-3-319-76051-3_2Google Scholar
Zittoun, T., & Gillespie, A. (2020). Metaphors of development and the development of metaphors. Theory & Psychology, 30(6), 827–841. https://doi.org/10.1177/0959354320939194Google Scholar
Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1–17. https://doi.org/10.1016/j.compedu.2015.11.001Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×