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Chapter 12 - Reflections on Testing, Assessment, and the Future

from Part III - Regional Focus

Published online by Cambridge University Press:  08 November 2023

Louis Tay
Affiliation:
Purdue University, Indiana
Sang Eun Woo
Affiliation:
Purdue University, Indiana
Tara Behrend
Affiliation:
Purdue University, Indiana
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Summary

In this essay, we review the Technology and Measurement around the Globe chapters with an eye toward integration and synthesis. We primarily focus on implications for testing, and then make connections to the broader world of nontest assessment. We identify themes of privacy, fairness, workplace applications, and emerging technologies, and offer a research agenda for future investigations that seek to understand culture, technology, and measurement.

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Chapter
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Publisher: Cambridge University Press
Print publication year: 2023

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References

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education, & Joint Committee on Standards for Educational and Psychological Testing. (2014). Standards for educational and psychological testing. AERA.Google Scholar
Hamilton, R. H., & Davidson, H. K. (2022). Legal and ethical challenges for HR in machine learning. Employee Responsibilities and Rights Journal, 34, 1939. https://doi.org/10.1007/s10672–021-09377-zCrossRefGoogle Scholar
Landers, R. N., & Behrend, T. S. (2023). Auditing the AI auditors: A framework for evaluating fairness and bias in high stakes AI predictive models. American Psychologist, 78(1), 3649. https://doi.org/10.1037/amp0000972CrossRefGoogle ScholarPubMed
Meredith, W. (1964). Notes on factorial invariance. Psychometrika, 29, 177185. https://doi.org/10.1007/BF02289699CrossRefGoogle Scholar
Miller, A., Crede, M., & Sotola, L. K. (2021). Should research experience be used for selection into graduate school: A discussion and meta-analytic synthesis of the available evidence. International Journal of Selection and Assessment, 29, 1928. https://doi.org/10.1111/ijsa.12312CrossRefGoogle Scholar
Millsap, R. E. (1997). Invariance in measurement and prediction: Their relationship in the single-factor case. Psychological Methods, 2(3), 248260. https://doi.org/10.1037/1082-989X.2.3.248CrossRefGoogle Scholar
National Conference of State Legislatures. (2021, September 15). Legislation related to artificial intelligence. https://www.ncsl.org/research/telecommunications-and-information-technology/2020-legislation-related-to-artificial-intelligence.aspxGoogle Scholar
Office of Science and Technology Policy. (2022). Blueprint for an AI bill of rights: Making automated systems work for the American people (“AI Blueprint”). Executive Office of the President. https://www.whitehouse.gov/wpcontent/uploads/2022/10/Blueprint-for-an-AI-Bill-of-Rights.pdfGoogle Scholar
Rocher, L., Hendrickx, J. M., & de Montjoye, Y. A. (2019). Estimating the success of re-identifications in incomplete datasets using generative models). Nature Communications, 10, Article 3069. https://doi.org/10.1038/s41467-019-10933-3CrossRefGoogle ScholarPubMed
Roth, P. L., & Bobko, P. (2000). College grade point average as a personnel selection device: Ethnic group differences and potential adverse impact. Journal of Applied Psychology, 85(3), 399406. https://doi.org/10.1037/0021-9010.85.3.399CrossRefGoogle ScholarPubMed
Society for Industrial and Organizational Psychology. (2018). Principles for the validation and use of personnel selection procedures (5th ed.). https://www.apa.org/ed/accreditation/about/policies/personnel-selection-procedures.pdfGoogle Scholar
Somaraju, A. V., Nye, C. D., & Olenick, J. (2022). A review of measurement equivalence in organizational research: What’s old, what’s new, what’s next? Organizational Research Methods, 25(4), 741785. https://doi.org/10.1177/10944281211056524CrossRefGoogle Scholar
Woo, S. E., LeBreton, J. M., Keith, M. G., & Tay, L. (2023). Bias, fairness, and validity in graduate-school admissions: A psychometric perspective. Perspectives on Psychological Science, 18(1), 331. https://doi.org/10.1177/17456916211055374CrossRefGoogle ScholarPubMed
Wu, F. Y., Mulfinger, E., AlexanderIII, L., Sinclair, A. L., McCloy, R. A., & Oswald, F. L. (2022). Individual differences at play: An investigation into measuring Big Five personality facets with game-based assessments. International Journal of Selection and Assessment, 30(1), 6281. https://doi.org/10.1111/ijsa.12360CrossRefGoogle Scholar

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