Heesen, Remco and Romeijn, Jan-Willem (2022) Measurement Invariance, Selection Invariance, and Fair Selection Revisited. Psychological Methods. ISSN 1082-989X

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Abstract

This note contains a corrective and a generalization of results by Borsboom et al. (2008), based on Heesen and Romeijn (2019). It highlights the relevance of insights from psychometrics beyond the context of psychological testing.

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Item Type:	Published Article or Volume
Creators:	Creators Email ORCID Heesen, Remco remco.heesen@uwa.edu.au 0000-0003-3823-944X Romeijn, Jan-Willem j.w.romeijn@rug.nl
Keywords:	psychometrics, bibliometrics, measurement invariance, selection invariance, fairness in testing
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics General Issues > Decision Theory General Issues > Ethical Issues Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics General Issues > Science and Policy
Depositing User:	Remco Heesen
Date Deposited:	08 Jun 2022 02:30
Last Modified:	08 Jun 2022 02:30
Item ID:	20722
Journal or Publication Title:	Psychological Methods
Publisher:	American Psychological Association
Official URL:	https://doi.org/10.1037/met0000491
DOI or Unique Handle:	10.1037/met0000491
Subjects:	Specific Sciences > Artificial Intelligence > AI and Ethics General Issues > Decision Theory General Issues > Ethical Issues Specific Sciences > Psychology > Judgment and Decision Making Specific Sciences > Probability/Statistics General Issues > Science and Policy
Date:	2022
ISSN:	1082-989X
URI:	https://philsci-archive.pitt.edu/id/eprint/20722

Available Versions of this Item

• Measurement Invariance, Selection Invariance, and Fair Selection Revisited. (deposited 08 Jun 2022 02:30) [Currently Displayed]
  • Measurement Invariance, Selection Invariance, and Fair Selection Revisited. (deposited 19 Jun 2023 13:15)

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