Element contents
Measurement Burst Designs to Improve Precision in Peer Research
Published online by Cambridge University Press: 20 September 2021
Summary
Measurement burst designs, in which assessments of a set of constructs are made at two or more times in quick succession (e.g., within days), can be used as a novel method to improve the stability of basic measures typically used in longitudinal peer research. In this Element, we hypothesized that the stabilities for adolescent-reported peer acceptance, anxiety, and self-concept would be stronger when using the measurement burst approach versus the single time observation. Participants included youth between 10 and 13 years old who completed (a) sociometric assessments of acceptance, and measures of (b) social and test anxiety, and (c) self-concept across three times with two assessments made at each burst. Findings broadly showed that the stabilities were significantly stronger with the measurement burst when compared to the single time assessment, supporting our main hypothesis. We discuss the utility of the measurement burst in a broader context and considerations for researchers.
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- Online ISBN: 9781108986038Publisher: Cambridge University PressPrint publication: 14 October 2021
References
Alessandri, G., Vecchione, M., Donnellan, B., & Tisak, J. (2013). An application of the LC-LSTM framework to the self-esteem instability case. Psychometrika, 78, 769–792. doi: 10.1007/S11336-013-9326-4Google Scholar
Almeida, D. M., McGonagle, K., & King, H. (2009). Assessing daily stress processes in social surveys by combining stressor exposure and salivary cortisol. Biodemography and Social Biology, 55(2), 219–237. doi: https://doi.org/10.1080/19485560903382338Google Scholar
Asher, S. R., & Dodge, K. A. (1986). Identifying children who are rejected by their peers. Developmental Psychology, 22(4), 444–449. https://doi.org/10.1037/0012-1649.22.4.444Google Scholar
Asher, S. R., Singleton, L. C., Tinsley, B. R., & Hymel, S. (1979). A reliable sociometric measure for preschool children. Developmental Psychology, 15(4), 443–444. doi: https://doi.org/10.1037/0012-1649.15.4.443Google Scholar
Baltes, P. B. (1987). Theoretical propositions of life-span developmental psychology: On the dynamics between growth and decline. Developmental Psychology, 23(5), 611–626. doi: 10.1037/0012-1649.23.5.611Google Scholar
Barlow, D. H., Ellard, K. K., Sauer-Zavala, S., Bullis, J. R., & Carl, J. R. (2014). The origins of neuroticism. Perspectives on Psychological Science, 9(5), 481–496. doi: 10.1177/1745691614544528Google Scholar
Berne, S., Frisén, A., Schultze-Krumbholz, A. et al. (2013). Cyberbullying assessment instruments: A systematic review. Aggression and Violent Behavior, 18(2), 320–334. doi: 10.1016/j.avb.2012.11.022Google Scholar
Blakemore, S. J., & Mills, K. L. (2014). Is adolescence a sensitive period for sociocultural processing? Annual Review of Psychology, 65, 187–207. doi: 10.1146/annurev-psych-010213-115202Google Scholar
Blume, F., Schmidt, A., Kramer, A. C., Schmiedke, F., & Neubauer, A. B. (2020, August 4). Homeschooling during the SARS-CoV-2 pandemic: The role of students’ trait self-regulation and task attributes of daily learning tasks for students’ daily self-regulation. doi: 10.31234/osf.io/tnrdjGoogle Scholar
Bonnet, D. G., & Wright, T. A. (2000). Sample size requirements for estimating Pearson, Kendall and Spearman correlations. Psychometrica, 65(1), 23–28. doi: 10.1007/BF02294183Google Scholar
Bosquet, M., & Egeland, B. (2006). The development and maintenance of anxiety symptoms from infancy through adolescence in a longitudinal sample. Development and Psychopathology, 18(2), 517–550. doi: 10.1017/S0954579406060275Google Scholar
Boulton, M. J., Smith, P. K., & Cowie, H. (2010). Short-term longitudinal relationships between children’s peer victimization/bullying experiences and self-perceptions: Evidence for reciprocity. School Psychology International, 31(3), 296–311. doi: 10.1177/0143034310362329Google Scholar
Broeren, S., & Muris, P. (2009). The relation between cognitive development and anxiety phenomena in children. Journal of Child and Family Studies, 18(6), 702–709. doi: 10.1007/s10826-009-9276-8Google Scholar
Broeren, S., Muris, P., Diamantopoulou, S., & Baker, J. R. (2013). The course of childhood anxiety symptoms: Developmental trajectories and child-related factors in normal children. Journal of Abnormal Child Psychology, 41(1), 81–95. doi: 10.1007/s10802-012-9669-9Google Scholar
Brown, B. B. (2004). Adolescents’ relationships with peers. In Lerner, R. M. & Steinberg, L. (Eds.), Handbook of adolescent psychology (pp. 363–394). New York: John Wiley & Sons.Google Scholar
Brown, B. B., & Larson, J. (2009). Peer relationships in adolescents. In Lerner, R. M. & Steinberg, L. (Eds.), Handbook of adolescent psychology (pp. 74–103). New York: John Wiley & Sons.Google Scholar
Bukowski, W. M., Castellanos, M., & Persram, R. J. (2017). The current status of peer assessment techniques and sociometric methods. In Marks, P. E. L. & Cillessen, A. H. N. (Eds.), New Directions in Peer Nomination Methodology. New Directions for Child and Adolescent Development, 157, 75–82. doi: 10.1002/cad.20209Google Scholar
Bukowski, W. M., Castellanos, M., Vitaro, F., & Brendgen, M. (2015). Socialization and experiences with peers. In Grusec, J. E. & Hastings, P. D. (Eds.), Handbook of socialization: Theory and research (pp. 228–250). New York: Guilford.Google Scholar
Bukowski, W. M. , Cillessen, A. H. N., & Velasquez, A. M. (2012). The use of peer ratings in developmental research. In Laursen, B, Little, T, Card, N (Eds.), Handbook of developmental research methods (pp. 211–228). New York: Guilford.Google Scholar
Bukowski, W. M., & Hoza, B. (1989). Popularity and friendship: Issues in theory, measurement, and outcome. In T. J. Berndt & G. W. Ladd (Eds.), Peer relationships in child development (pp. 15–45). Oxford: UK: Wiley.Google Scholar
Bukowski, W. M., Laursen, B., & Rubin, K. H. (2018). Peer relations: Past, present, and promise. In Bukowski, W. M., Laursen, B., & Rubin, K. H. (Eds.), Handbook of peer interactions, relationships, and groups (pp. 3–20). New York: Guilford.Google Scholar
Bukowski, W. M., & Newcomb, A. F. (1984). Stability and determinants of sociometric status and friendship choice: A longitudinal perspective. Developmental Psychology, 20(5), 941–952. doi: 10.1037/0012-1649.20.5.941Google Scholar
Bukowski, W. M., & Raufelder, D. (2018). Peers and the self. In Bukowski, W. M., Laursen, B., & Rubin, K. H. (Eds.), Handbook of peer interactions, relationships, and groups (pp. 141–156). New York: Guilford.Google Scholar
Bukowski, W. M., Sippola, L., Hoza, B., & Newcomb, A. F. (2000). Pages from a sociometric notebook: An analysis of nomination and rating scale measures of acceptance, rejection, and social preference. New Directions for Child and Adolescent Development, 2000(88), 11–26.Google Scholar
Byrne, B. M. (1996). Measuring self-concept across the life span: Issues and instrumentation. Washington, DC: American Psychological Association. doi: 10.1037/10197-000Google Scholar
Carleton, R. N. (2016). Into the unknown: A review and synthesis of contemporary models involving uncertainty. Journal of Anxiety Disorders, 39, 30–43. doi: 10.1016/j.janxdis.2016.02.007Google Scholar
Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Newbury Park, CA: Sage.Google Scholar
Cho, G., Pasquini, G., & Scott, S. B. (2019). Measurement burst designs in lifespan developmental research. In Knight, R., Neupert, S. D., Anderson, N. D., Wahl, H. W., & Pachana, N. A. (Eds.), Oxford Research Encyclopedia of Psychology (pp. 1–28). Oxford University Press USA. doi: https://doi.org/10.1093/acrefore/9780190236557.013.348Google Scholar
Cillessen, A. H. N. (2008). Sociometric methods. In Rubin, K. H., Bukowski, W. M., & Laursen, B. (Eds.), Handbook of peer interactions, relationships, and groups (pp. 82–99). New York: Guilford.Google Scholar
Cillessen, A. H. N., & Borch, C. (2006). Developmental trajectories of adolescent popularity: A growth curve modelling analysis. Journal of Adolescence, 29(6), 935–959. doi: 10.1016/j.adolescence.2006.05.005Google Scholar
Cillessen, A. H. N., & Bukowski, W. M. (2018). Sociometric perspectives. In Bukowski, W. M., Laursen, B., & Rubin, K. H. (Eds.), Handbook of peer interactions, relationships, and groups (pp. 64–83). New York: Guilford.Google Scholar
Cillessen, A. H. N., & Marks, P. E. L. (2011). Conceptualizing and measuring popularity. In Cillessen, A. H. N., Schwartz, D., & Mayeux, L. (Eds.), Popularity in the peer system (pp. 25–56). New York: Guilford.Google Scholar
Cillessen, A. H. N., & Marks, P. E. L. (2017). Methodological choices in peer nomination research. In Marks, P. E. L. & Cillessen, A. H. N. (Eds.), New Directions in Peer Nomination Methodology. New Directions for Child and Adolescent Development, 157, 21–44. doi: 10.1002/cad.20206Google Scholar
Cillessen, A. H., & Mayeux, L. (2004). From censure to reinforcement: Developmental changes in the association between aggression and social status. Child Development, 75(1), 147–163. doi: 10.1111/j.1467-8624.2004.00660.xGoogle Scholar
Cillessen, A. H. N., Schwartz, D., & Mayeux, L. (2011). Preface. In Popularity in the peer system (pp. ix–xii). New York: Guilford.Google Scholar
Cillessen, A. H. N., & van den Berg, Y. H. M. (2012). Popularity and school adjustment. In Ryan, A. & Ladd, G. W. (Eds.), Peer relationships and adjustment at school (pp. 135–164). Charlotte, NC: Information Age Publishing.Google Scholar
Coie, J. D., Dodge, K. A., & Coppotelli, H. (1982). Dimensions and types of social status: A cross-age perspective. Developmental Psychology, 18(4), 557–570. doi: https://doi.org/10.1037/0012-1649.18.4.557Google Scholar
Cole, D. A., Maxwell, S. E., Martin, J. M. et al.(2001). The development of multiple domains of child and adolescent self‐ concept: A cohort sequential longitudinal design. Child Development, 72(6), 1723–1746. doi: https://doi.org/10.1111/1467-8624.00375Google Scholar
Criss, M. M., Pettit, G. S., Bates, J. E., Dodge, K. A., & Lapp, A. L. (2002). Family adversity, positive peer relationships, and children’s externalizing behaviour: A longitudinal perspective on risk and resilience. Child Development, 73(4), 1220–1237. doi: https://doi.org/10.1111/1467-8624.00468Google Scholar
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(1951), 297–334. doi: https://doi.org/10.1007/BF02310555Google Scholar
Danneel, S., Geukens, F., Maes, M. et al. (2020). Loneliness, social anxiety symptoms, and depressive symptoms in adolescence: Longitudinal distinctiveness and correlated change. Journal of Youth and Adolescence, 49(11), 2246–2264. doi: https://doi.org/10.1007/s10964-020-01315-wGoogle Scholar
de Bruyn, E. H., Cillessen, A. H. N., & Wissink, I. B. (2010). Associations of peer acceptance and perceived popularity with bullying and victimization in early adolescence. Journal of Early Adolescence, 30(4), 543–566. doi: https://doi.org/10.1177/0272431609340517Google Scholar
Deković, M., & Meeus, W. (1997). Peer relations in adolescence: Effects of parent and adolescents’ self-concept. Journal of Adolescence, 20(2), 163–176. doi: https://doi.org/10.1006/jado.1996.0074Google Scholar
Dodge, K. A., Bates, J. E., & Pettit, G. S. (1990). Mechanisms in the cycle of violence. Science, 250(4988), 1678–1683. doi: https://doi.org/10.1126/science.2270481Google Scholar
Eisenberg, N., Guthrie, I. K., Murphy, B. C. et al. (1999). Consistency and development of prosocial dispositions: A longitudinal study. Child Development, 70(6), 1360–1372. doi: https://doi.org/10.1111/1467-8624.00100Google Scholar
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7(2), 117–140. doi: https://doi.org/10.1177/001872675400700202Google Scholar
Fialko, L., Bolton, D., & Perrin, S. (2012). Applicability of a cognitive model of worry to children and adolescents. Behaviour Research and Therapy, 50(5), 341–349. doi: https://doi.org/10.1016/j.brat.2012.02.003Google Scholar
Field, A. P., & Lester, K. J. (2010). Learning of information processing biases in anxious children and adolescents. In Hadwin, J. A. & Field, A. P. (Eds.), Information processing biases and anxiety: A developmental perspective (pp. 253–278). Wiley. Blackwell. doi: https://doi.org/10.1002/9780470661468.ch11Google Scholar
Fiske, D. W., & Rice, L. (1955). Intra-individual response variability. Psychological Bulletin, 52(3), 217–250. doi: https://doi.org/10.1037/h0045276Google Scholar
Fortes, M., Delignières, D., & Ninot, G. (2004). The dynamics of self-esteem and physical self: Between preservation and adaptation. Quality & Quantity: International Journal of Methodology, 38(6), 735–751. doi: https://doi.org/10.1007/s11135-004-4764-9Google Scholar
Geiser, C., Keller, B. T., Lockhart, G. et al. (2015). Distinguishing state variability from trait change in longitudinal data: The role of measurement (non)invariance in latent state-trait analyses. Behavior Research Methods, 47(1), 172–203. doi: https://doi.org/10.3758/s13428-014-0457-z.Google Scholar
Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. doi: https://doi.org//10.1037/a0032138Google Scholar
Gentile, D. A., Choo, H., Liau, A. et al. (2011). Pathological video game use among youths: A two-year longitudinal study. Pediatrics, 127(2), e319–e329. doi: https://doi.org/10.1542/peds.2010-1353Google Scholar
Gest, S. D., Domitrovich, C. E., & Welsh, J. A. (2005). Peer academic reputation in elementary school: Associations with changes in self-concept and academic skills. Journal of Educational Psychology, 97(3), 337–346. doi: https://doi.org/10.1037/0022-0663.97.3.337Google Scholar
Gullone, E. (2000). The development of normal fear: A century of research. Clinical Psychology Review, 20(4), 429–451. doi: https://doi.org/10.1016/S0272-7358(99)00034-3Google Scholar
Gullone, E., King, N. J., & Ollendick, T. H. (2001). Self-reported anxiety in children and adolescents: A three-year follow-up study. The Journal of Genetic Psychology, 162(1), 5–19. doi: https://doi.org/10.1080/00221320109597878Google Scholar
Gustavson, K., von Soest, T., Karevold, E., & Røysamb, E. (2012). Attrition and generalizability in longitudinal studies: Findings from a 15-year population-based study and a Monte Carlo simulation study. BMC Public Heatlh, 12(918), 1–11. doi: https://doi.org/10.1186/1471-2458-12-918Google Scholar
Hank, P., & Baltes-Götz, B. (2019). The stability of self-esteem variability: A real-time assessment. Journal of Research in Personality, 79 (April), 143–150 doi: https://doi.org/10.1016/j.jrp.2019.03.004Google Scholar
Harris, M. A., & Orth, U. (2020). The link between self-esteem and social relationships: A meta-analysis of longitudinal studies. Journal of Personality and Social Psychology, 119(6), 1459–1477. doi: https://doi.org/10.1037/pspp0000265Google Scholar
Harter, S. (1982). The perceived competence scale for children. Child Development, 53(1), 87–97. doi: https://doi.org/10.2307/1129640Google Scholar
Harter, S. (2012) Self-perception profile for adolescents: Manual and questionnaires. 2012 Revision. Denver, CO: University of Denver. doi: https://portfolio.du.edu/SusanHarter/page/44210Google Scholar
Harter, S. (2006). The Self. In Eisenberg, N., Damon, W., & Lerner, R. M. (Eds.), Handbook of child psychology: Social, emotional, and personality development (pp. 505–570). Wiley.Google Scholar
Harter, S. (2012). The construction of the self: Developmental and sociocultural foundations (2nd ed.). New York: Guilford.Google Scholar
Harter, S. (1988). Self-perception profile for adolescents: Manual and questionnaires. Denver, CO: University of Denver. https://portfolio.du.edu/SusanHarter/page/44210Google Scholar
Harter, S. (1985). Self-perception profile for children: Manual and questionnaires. Denver, CO: University of Denver. https://portfolio.du.edu/SusanHarter/page/44210Google Scholar
Hearn, C. S., Donovan, C. L., Spence, S. H., March, S., & Holmes, M. C. (2017). What’s the worry with social anxiety? Comparing cognitive processes in children with generalized anxiety disorder and social anxiety disorder. Child Psychiatry & Human Development, 48(5), 786–795. doi: https://doi.org/10.1007/s10578-016-0703-y.Google Scholar
Holfield, B., & Leadbeater, B. J. (2017). Concurrent and longitudinal associations between early adolescents’ experiences of school climate and cyber victimization. Computers in Human Behaviour, 76, 321–328. doi: https://doi.org/10.1016/j.chb.2017.07.037Google Scholar
Hong, R. Y., Lee, S. S., Tsai, F. F., & Tan, S. H. (2017). Developmental trajectories and origins of a core cognitive vulnerability to internalizing symptoms in middle childhood. Clinical Psychological Science, 5(2), 299–315. doi: https://doi.org/10.1177/2167702616679875Google Scholar
Howe, N., Ross, H. S., & Recchia, H. (2011). Sibling relations in early and middle childhood. In Smith, P. K. & Hart, C. H. (Eds.), The Wiley-Blackwell handbook of childhood social development (2nd ed., pp. 356–372). Hoboken, NJ: Wiley-Blackwell.Google Scholar
Huang, C. (2010). Mean-level change in self-esteem from childhood through adulthood: Meta-analysis of longitudinal studies. Review of General Psychology, 14(3), 251–260. doi: https://doi.org/10.1037/a0020543Google Scholar
Hymel, S., Rubin, K. H., Rowden, R., & LeMare, L. (1990). Children’s peer relationships: Longitudinal prediction of internalizing and externalizing problems from middle to late childhood. Child Development, 61(6), 2004–2021. doi: https://doi.org/10.2307/1130854Google Scholar
Jiang, X. L., & Cillessen, A. H. N. (2005). Stability of continuous measures of sociometric status: A meta-analysis. Developmental Review, 25(1), 1–25. doi: https://doi.org/10.1016/j.dr.2004.08.008Google Scholar
Kamoen, N., Holleman, B., van den Bergh, H., & Sanders, T. (2013). Positive, negative, and bipolar questions: The effect of question polarity on ratings of text readability. Survey Research Methods, 7(3), 181–189. doi: https://doi.org/10.18148/srm/2013.v7i3.5034Google Scholar
Karlson, C. W., & Rapoff, M. A. (2009). Attrition in randomized controlled trials for pediatric chronic conditions. Journal of Pediatric Psychology, 34(7), 782–793. doi: https://doi.org/10.1093/jpepsy/jsn122Google Scholar
Kerns, C. M., Read, K. L., Klugman, J., & Kendall, P. C. (2013). Cognitive behavioral therapy for youth with social anxiety: Differential short and long-term treatment outcomes. Journal of Anxiety Disorders, 27(2), 210–215. doi: https://doi.org/10.1016/j.janxdis.2013.01.009Google Scholar
Kingery, J. N., Erdley, C. A., & Marshall, K. C. (2011). Peer acceptance and friendship as predictors of early adolescents’ adjustment across the middle school transition. Merill-Palmer Quarterly, 57(3), 215–243. doi: https://doi.org/10.1353/mpq.2011.0012Google Scholar
Klima, T., & Repetti, R. L. (2008). Children’s peer relations and their psychological adjustment: Differences between close friendships and the larger peer group. Merrill-Palmer Quarterly, 54(2), 151–178. doi: https://doi.org/10.1353/mpq.2008.0016Google Scholar
Kuster, F., & Orth, U. (2013). The long-term stability of self-esteem: Its time-dependent decay and nonzero asymptote. Personality and Social Psychology Bulletin, 39(5), 677-690. https://doi.org/10.1177/0146167213480189Google Scholar
LaFontana, K. M., & Cillessen, A. H. (2010). Developmental changes in the priority of perceived status in childhood and adolescence. Social Development, 19(1), 130–147. doi: https://doi.org/10.1111/j.1467-9507.2008.00522.xGoogle Scholar
La Greca, A. M., & Harrison, H. M. (2005). Adolescent peer relations, friendships, and romantic relationships: Do they predict social anxiety and depression? Journal of Clinical Child and Adolescent Psychology, 34(1), 49–61. doi: https://doi.org/10.1207/s15374424jccp3401_5Google Scholar
La Greca, A. M., & Lopez, N. (1998). Social anxiety among adolescents: Linkages with peer relations and friendships. Journal of Abnormal Child Psychology, 26(2), 83–94. doi: https://doi.org/10.1023/A: 1022684520514Google Scholar
Laninga-Wijnen, L., Harakeh, Z., Steglich, C., et al. (2017). The norms of popular peers moderate friendship dynamics of adolescent aggression. Child Development, 88(4), 1265–1283. https://doi.org/10.1111/cdev.12650Google Scholar
Laninga-Wijnen, L., Ryan, A. M., Harakeh, Z., Shin, H., & Vollebergh, W. A. M. (2018). The moderating role of popular peers’ achievement goals in 5th- and 6th-graders’ achievement-related friendships: A social network analysis. Journal of Educational Psychology, 110(2), 289–307. doi: https://doi.org/lib-ezproxy.concordia.ca/10.1037/edu0000210Google Scholar
Laursen, B., & Bukowski, W. M. (1997). A developmental guide to the organisation of close relationships. International Journal of Behavioural Development, 21(4), 747–770. doi: https://doi.org//10.1080/016502597384659Google Scholar
Laursen, B., Bukowski, W. M., Nurmi, E., & Aunola, K. (2007). Friendship moderates prospective associations between social isolation and adjustment problems in young children. Child Development, 78(4), 1395–1404. doi: https://doi.org/10.1111/j.1467-8624.2007.01072.xGoogle Scholar
Lee, S., Koffer, R. E., Sprague, B. N. et al. (2018). Activity diversity and its associations with psychological well-being across adulthood. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 73(6), 985–995. doi: https://doi.org/10.1093/geronb/gbw118Google Scholar
Lehman, B. J., & Repetti, R. L. (2007). Bad days don’t end when the school bell rings: The lingering effects of negative school events on children’s mood, self-esteem, and perceptions of parent-child interaction. Social Development, 16(3), 1–23. doi: https://doi.org/10.1111/j.1467-9507.2007.00398.xGoogle Scholar
Liao, Y., Chou, C-P. , Huh, J., Leventhal, A., & Dunton, G. (2017). Examining acute bidirectional relationships between affect, physical feeling states, and physical activity in free-living situations using electronic momentary assessment. Journal of Behavioural Medicine, 40(3), 445–457. doi: https://doi.org/10.1007/s10865-016-9808-9Google Scholar
Lindzey, G. & Borgatta, E. F. (1954). Sociometric measurement. In Handbook of Social Psychology (pp. 405–448). Cambridge: Addison-Wesley Publishers Co.Google Scholar
Lingler, J. H., Schmidt, K. L., Gentry, A. L., Hu, L., & Terhorst, L. A. (2014). A new measure of research participant burden: Brief report. Journal of Empirical Research on Human Research Ethics, 9(4), 46–49. doi: https://doi.org/10.1177/1556264614545037Google Scholar
Luengo Kanacri, B. P., Eisenberg, N., & Thartori, E. et al. (2017). Longitudinal relations among positivity, perceived positive school climate, and prosocial behaviour in Colombian Adolescents. Child Development, 88(4), 1100–1114. doi: https://doi.org/10.1111/cdev.12863Google Scholar
March, J. S. (2013). Multidimensional Anxiety Scale for Children (2nd ed.). Toronto: Multi-Health Systems.Google Scholar
Marks, P. E. L. (2017). Introduction to the special issue: 20th-century origins and 21st-century developments of peer nomination methodology. In Marks, P. E. L. & Cillessen, A. H. N. (Eds.), New Directions in Peer Nomination Methodology. New Directions for Child and Adolescent Development, 2017(157), 7–19. doi: https://doi.org/10.1002/cad.20205Google Scholar
Marshall, S. L., Parker, P. D., Ciarrochi, J., & Heaven, P. C. L. (2014). Is self-esteem a cause or consequence of social support? A 4-year longitudinal study. Child Development, 85(3), 1275–1291. doi: https://doi.org/10.1111/cdev.12176Google Scholar
McDonald, K. L., & Asher, S. R. (2018). Peer acceptance, peer rejection, and popularity: Social-cognitive and behavioural perspectives. In Bukowski, W. M., Laursen, B., & Rubin, K. H. (Eds.), Handbook of peer interactions, relationships, and groups (pp. 429–446). New York: Guilford.Google Scholar
McEvoy, P. M., & Mahoney, A. E. (2012). To be sure, to be sure: Intolerance of uncertainty mediates symptoms of various anxiety disorders and depression. Behavior Therapy, 43(3), 533–545. doi: https://doi.org/10.1016/j.beth.2011.02.007Google Scholar
Molloy, L. E., Ram, N., & Gest, S. D. (2011). The storm and stress (or calm) of early adolescent self-concepts: Within- and between-subjects variability. Developmental Psychology, 47(6), 1589–1607. doi: https://doi.org/10.1037/a0025413Google Scholar
Monroe, W. S. (1898). Discussion and reports. Social consciousness in children. Psychological Review, 5(1), 68–70. doi: https://doi.org/10.1037/h0075859Google Scholar
Morrow, M. T., Hubbard, J. A., & Sharp, M. K. (2019). Preadolescents’ daily peer victimization and perceived social competence: Moderating effects of classroom aggression. Journal of Clinical Child & Adolescent Psychology, 48(5), 716–727. doi: https://doi.org/10.1080/15374416.2017.1416618Google Scholar
Muris, P., Vermeer, E., & Horselenberg, R. (2008). Cognitive development and the interpretation of anxiety-related physical symptoms in 4–13-year-old non-clinical children. Journal of Behavior Therapy and Experimental Psychiatry, 39(1), 73–86. doi: https://doi.org/10.1016/j.jbtep.2006.10.014Google Scholar
Muthén, L. K., & Muthén, B. O. (2010). Mplus User’s Guide (6th ed.). Los Angeles: Muthén & Muthén.Google Scholar
Nelemans, S. A., Hale, W. W., Branje, S. J., Meeus, W. H., & Rudolph, K. D. (2017). Individual differences in anxiety trajectories from Grades 2 to 8: Impact of the middle school transition. Development and Psychopathology, 30(4), 1–15. doi: https://doi.org/10.1017/S0954579417001584Google Scholar
Nelemans, S. A., Hale, W. W., Branje, S. J. T. et al. (2014). Heterogeneity in development of adolescent anxiety disorder symptoms in an 8-year longitudinal community study. Development and Psychopathology, 26(1), 181–202. https://doi.org/10.1017/S0954579413000503Google Scholar
Nelis, S., & Bukowski, W. M. (2019). Daily affect and self-esteem in early adolescence: Correlates of mean levels and within-person variability. Psychologica Belgica, 59(1), 96–115. doi: https://doi.org/10.5334/pb.467Google Scholar
Nesselroade, J. R. (1990). The warp and woof of the developmental fabric. In Downs, R., Liben, L., & Palermo, D. S. (Eds.), Visions of aesthetics, the environment, and development: The legacy of Joachim F. Wohwill (pp. 213–240). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Nestler, S. (2020). Modeling intraindividual variability in growth with measurement burst designs. Structural Equation Modeling: A Multidisciplinary Journal, 28(1), 28–39. doi: https://doi.org/10.1080/10705511.2020.1757455Google Scholar
Newcomb, A. F., & Bukowski, W. M. (1983). Social impact and social preferences as determinants of children’s peer group status. Developmental Psychology, 19(6), 856–867. doi: https://doi.org/10.1037/0012-1649.19.6.856Google Scholar
Newcomb, A. F., Bukowski, W. M., & Pattee, L. (1993). Children’s peer relations: A meta-analytic review of popular, rejected, neglected, controversial, and average sociometric status. Psychological Bulletin, 113(1), 99–128. doi: https://doi.org/10.1037/0033-2909.113.1.99Google Scholar
Nezlek, J. B. (2017). A practical guide to understanding reliability in studies of within-person variability. Journal of Research in Personality, 69, 149–155. doi: https://10.1016/j.jrp.2016.06.020Google Scholar
Orth, U., & Robins, R. W. (2014) The development of self-esteem. Current Directions in Psychological Science, 23(5), 381–387. doi: https://doi.org/10.1177/0963721414547414Google Scholar
Orth, U., Robins, R. W., & Widaman, K. F. (2012). Life-span development of self-esteem and its effects on important life outcomes. Journal of Personality and Social Psychology, 102(6), 1271–1288. doi: https://doi.org/10.1037/a0025558Google Scholar
Owens, T. J. (1993) Accentuate the positive and the negative: Rethinking the use of self-esteem, self-deprecation, and self-confidence. Social Psychology Quarterly, 56(4), 288–299. doi: https://doi.org/10.2307/2786665Google Scholar
Parker, J. G., Rubin, K. H., Erath, S. A., Wojslawowicz, J. C., & Burskirk, A. A. (2006). Peer relationships, child development, and adjustment: A developmental psychopathological perspective. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology: Theory and method (pp. 419–493). Hoboken, NJ: Wiley.Google Scholar
Parkhurst, J. T., & Hopmeyer, A. (1998). Sociometric popularity and peer-perceived popularity: Two distinct dimensions of peer status. Journal of Early Adolescence, 18(2), 125–144. doi: https://doi.org/10.1177/0272431698018002001Google Scholar
Persram, R. J., Schwartzman, E., & Bukowski, W. M. (2021). The concurrent association between friendship security and friendship satisfaction is moderated by experience within the family context. Merrill-Palmer Quarterly, 67(1), 56–75. doi: https://doi.org/10.13110/merrpalmquar1982.67.1.0056Google Scholar
Pettit, G. S., Laird, R. D., Dodge, K. A., Bates, J. E., & Criss, M. M. (2001). Antecedents and behaviour-problem outcomes of parental monitoring and psychological control in early adolescence. Child Development, 72(2), 583–598. doi: https://doi.org/10.1111/1467-8624.00298Google Scholar
Poulin, F. & Chan, A. (2010). Friendship stability and change in childhood and adolescence. Developmental Review, 30(3), 257–272. doi: https://doi.org/10.1016/j.dr.2009.01.001Google Scholar
Preckel, F., Niepel, C., Schneider, M., & Brunner, M. (2013). Self-concept in adolescence: A longitudinal study on reciprocal effects of self-perceptions in academic and social domains. Journal of Adolescence, 36(6), 1165–1175. doi: https://doi.org/10.1016/j.adolescence.2013.09.001Google Scholar
Prinstein, M. J. (2007). Moderators of peer contagion: A longitudinal examination of depression socialization between adolescents and their best friends. Journal of Clinical Child and Adolescent Psychology, 36(2), 159–170. doi: https://doi.org/10.1080/15374410701274934Google Scholar
Prinstein, M. J., Borelli, J. L., Cheah, C. S. L., Simon, V. A., & Aikins, J. W. (2005). Adolescent girls’ interpersonal vulnerability to depressive symptoms: A longitudinal examination of reassurance-seeking and peer relationships. Journal of Abnormal Psychology, 114(4), 676–688. doi: https://doi.org/10.1037/0021-843X.114.4.676Google Scholar
Raffaelli, M., Crockett, L. J., & Shen, Y-L. (2005). Developmental stability and change in self-regulation from childhood to adolescence. Journal of Genetic Psychology, 166(1), 54–76. doi: https://doi.org/10.3200/GNTP.166.1.54-76Google Scholar
Rambaran, A. J., Dijkstra, J. K., & Stark, T. H. (2013). Status‐based influence processes: The role of norm salience in contagion of adolescent risk attitudes. Journal of Research on Adolescence, 23(3), 574–585.Google Scholar
Rast, P., MacDonald, S. W. S., & Hofer, S. M. (2012). Intensive measurement designs for research on aging. GeroPsych, 25(2), 45–55. doi: https://doi.org/10.1024/1662-9647/a000054Google Scholar
Renk, K., & Phares, V. (2004). Cross-informant ratings of social competence in children and adolescents. Clinical Psychology Review, 24(2), 239–254. doi: https://doi.org/10.1016/j.cpr.2004.01.004Google Scholar
Riediger, M., & Rauers, A. (2018). Experience sampling in lifespan developmental methodology. In Oxford Research Encyclopedia of Psychology. Oxford University Press. doi: https://doi.org/10.1093/acrefore/9780190236557.013.346Google Scholar
Röcke, C., Hoppmann, C. A., & Klumb, P. L. (2011). Correspondence between retrospective and momentary ratings of positive and negative affect in old age: Findings from a one-year measurement burst design. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 66B(4), 411–415. doi: https://doi.org/10.1093/geronb/gbr024Google Scholar
Rubin, K. H., Booth, L., & Wilkinson, M. (1990). The Waterloo longitudinal project: Correlates and consequences of social withdrawal in childhood. Infancia y Aprendizaje, 13(49), 131–144. doi: https://doi.org/10.1080/02103702.1990.10822262Google Scholar
Rubin, K. H., Bukowski, W. M., & Parker, J. G. (2006). Peer interactions, relationships, and groups. In Eisenberg, N., Damon, W., & Lerner, R. M. (Eds.), Handbook of child psychology: Social, emotional, and personality development (pp. 571–645). Hoboken, NJ: Wiley.Google Scholar
Rush, J., & Hofer, S. M. (2017). V. Design-based approaches for improving measurement in developmental science. Developmental Methodology (Vol. 82). Monographs of the Society for Research in Child Development, 82(2), 67–83. doi: https://doi.org/10.1111/mono.12299Google Scholar
Rush, J., Rast, P., Almeida, D. M., & Hofer, S. M. (2019). Modeling long-term changes in daily within- person associations: An application of multilevel SEM. Psychology and Aging, 34(2), 163–176. doi: https://doi.org/10.1037/pag0000331Google Scholar
Schmidt, A., Neubauer, A. B., Dirk, J., & Schmiedek, F. (2020). The bright and the dark side of peer relationships: Differential effects of relatedness satisfaction and frustration at school on affective well-being in children’s daily lives. Developmental Psychology, 56(8), 1532–1546. doi: https://doi.org/10.1037.dev0000997Google Scholar
Scott, S. B., Graham-Engeland, J. E., Engeland, C. G. et al. (2015). The effects of stress on cognitive aging, physiology, and emotion (ESCAPE) project. BMC Psychiatry, 15(146) 1–14. doi: https://doi.org/10.1186/s12888-015-0497-7Google Scholar
Sentse, M., Prinzie, P., & Salmivalli, C. (2017). Testing the direction of longitudinal paths between victimization, peer rejection, and different types of internalizing problems in adolescence. Journal of Abnormal Child Psychology, 45, 1013–1023. doi: https://doi.org/10.1007/s10802-016-0216-yGoogle Scholar
Setoh, P., Qin, L., Zhang, X., & Pomerantz, E. M. (2015). The social self in early adolescence: Two longitudinal investigations in the United States and China. Developmental Psychology, 51(7), 949–961. doi: https://doi.org/10.1037/a0039354Google Scholar
Sharpe, L. M., & Frankel, J. (1983). Respondent burden: A test of some common assumptions. Public Opinion Quarterly, 47(1), 36–53. doi: https://doi.org/10.1086/268765Google Scholar
Silver, R. B., Measelle, J. R., Armstrong, J. M., & Essex, M. J. (2010). The impact of parents, child care providers, teachers, and peers on early externalizing trajectories. Journal of School Psychology, 48(6), 555–583. doi: https://doi.org/10.1016/j.jsp.2010.08.003Google Scholar
Sliwinski, M. J. (2008). Measurement-burst designs for social health research. Social and Personality Psychology Compass, 2(1), 245–261. doi: https://doi.org/10.1111/j.1751-9004.2007.00043.xGoogle Scholar
Sliwinski, M. J. (2011). Approaches to modeling intraindividual and interindividual facets of change for developmental research. In Fingerman, K. L., Berg, C. A., Smith, J., & Antonucci, T. C. (Eds.), Handbook of lifespan research (pp. 1–25). New York: Springer.Google Scholar
Sliwinski, M. J., Almeida, D. M., Smyth, J., & Stawski, R. S. (2009). Intraindividual change and variability in daily stress processes: Findings from two measurement-burst diary studies. Psychology and Aging, 24(4), 828–840. doi: https://doi.org/10.1037/a0017925Google Scholar
Sliwinski, M. J., Hoffman, L., & Hofer, S. (2010). Modeling retest and aging effects in a measurement burst design. In Molenaar, P. C. M. & Newell, K. M. (Eds.), Individual pathways of change: Statistical models for analyzing learning and development (pp. 37–50). Washington, DC: American Psychological Association.Google Scholar
Smyth, J. M., Juth, V., Ma, J., & Sliwinski, M. (2017). A slice of life: Ecologically valid methods for research on social relationships and health across the life span. Social and Personality Psychology Compass, 11(10), e12356. doi: https://doi.org/10.1111/spc3.12356Google Scholar
Spielberger, C. D., & Vagg, P. R. (1995). Test anxiety: A transactional process model. In Spielberger, C. D. & Vagg, P. R. (Eds.), Series in clinical and community psychology. Test anxiety: Theory, assessment, and treatment (pp. 3–14).Washington, DC: Taylor & Francis.Google Scholar
Stawski, R. S., MacDonald, S. W. S., & Sliwinski, M. J. (2016). Measurement burst design. In Whitbourne, S. K. (Ed.), The encyclopedia of adulthood and aging (pp. 1–5). Hoboken, NJ: Wiley.Google Scholar
Steglich, C., Snijders, T. A. B., & Pearson, M. (2010). Dynamic networks and behavior: Separating selection from influence. Sociological Methodology, 41(1), 329–393. doi: https://doi.org/10.1111/j.1467-9531.2010.01225.xGoogle Scholar
Steiger, J. H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87, 245–251. doi: https://doi.org/10.1037/0033-2909.87.2.245Google Scholar
Sub, A., & Prabha, C. (2003). Academic performance in relation to perfectionism, test procrastination and test anxiety of high school children. Psychological Studies, 48(3), 77–81.Google Scholar
Taber, K. S. (2018). The use of Cronbach’s alpha when developing and reporting research instruments in science education. Research in Science Education, 48(6), 1273–1296. doi: https://doi.org/10.1007/s11165-016-9602-2Google Scholar
Terry, R. (2000). Recent advances in measurement theory and the use of sociometric techniques. New Directions for Child and Adolescent Development, 2000(88), 27–53. doi: https://doi.org/10.1002/cd.23220008805Google Scholar
Terry, R. & Coie, J. D. (1991). A comparison of methods for defining sociometric status among children. Developmental Psychology, 27(5), 867–880. doi: https://doi.org/10.1037/0012-1649.27.5.867Google Scholar
Thomas, H. J., Connor, J. P., & Scott, J. G. (2015). Integrating traditional bullying and cyberbullying: Challenges of definition and measurement in adolescents – a review. Educational Psychology Review, 27(1), 135–152. doi: https://doi.org/10.1007/s10648-014-9261-7Google Scholar
Tomada, G., & Schneider, B. H. (1997). Relational aggression, gender, and peer acceptance: Invariance across culture, stability over time, and concordance among informants. Developmental Psychology, 33(4), 601–609. doi: https://doi.org/10.1037/0012-1649.33.4.601Google Scholar
Torabi, M. R. (1994). Reliability methods and numbers of items in development of health instruments. Health Values: The Journal of Health Behavior, Education & Promotion, 18(6), 56–59.Google Scholar
Veenstra, R., Dijkstra, J. K., Steglich, C., & Van Zalk, M. (2013). Network-behavior dynamics. Journal of Research on Adolescence, 23(3), 399–412. doi: https://doi.org/10.1111/jora.12070Google Scholar
Velásquez, A. M., Bukowski, W. M., & Saldarriaga, L. M. (2013). Adjusting for group size effects in peer nomination data. Social Development, 22(4), 845–863. doi: https://doi.org/10.1111/sode.12029Google Scholar
Waldrip, A. M., Malcolm, K. T., & Jensen-Campbell, L. A. (2008). With a little help from your friends: The importance of high-quality friendships on Early Adolescent Adjustment. Social Development, 17(4), 832–852. doi: https://doi.org/10.1111/j.1467-9507.2008.00476.xGoogle Scholar
Wigfield, A., & Eccles, J. S. (1989). Test anxiety in elementary and secondary school students. Educational Psychologist, 24(2), 159–183. doi: https://doi.org/10.1207/s15326985ep2402_3Google Scholar
Wine, J. (1971). Test anxiety and direction of attention. Psychological Bulletin, 76(2), 92–104. doi: https://doi.org/10.1037/h0031332Google Scholar
Wood, M. A., Bukowski, W. M., & Santo, J. B. (2017). Friendship security, but not friendship intimacy, moderates the stability of anxiety during preadolescence. Journal of Clinical Child and Adolescent Psychology, 46(6), 798–809. doi: https://doi.org/10.1080/15374416.2015.1094742Google Scholar
Woodgate, R. L., Tailor, K., Tennent, P., Wener, P., & Altman, G. (2020). The experience of the self in Canadian youth living with anxiety: A qualitative study. PLOS ONE, 15(1), e0228193. doi: https://doi.org/10.1371/journal.pone.0228193Google Scholar
Woodward, L. J., & Fergusson, D. M. (2001). Life course outcomes of young people with anxiety disorders in adolescence. Journal of the American Academy of Child & Adolescent Psychiatry, 40(9), 1086–1093. doi: https://doi.org/10.1097/00004583-200109000-00018Google Scholar
Zimmer-Gembeck, M. J. (2016). Peer rejection, victimization, and relational self-system process in adolescence: Toward a transactional model of stress, coping, and developing sensitivities. Child Development Perspectives, 10(2), 122–127. doi: https://doi.org/10.1111/cdep.12174Google Scholar
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