Foundational Competencies in Educational Measurement

被引：11

作者：

Ackerman, Terry A. ^{[1
]}

Bandalos, Deborah L. ^{[2
]}

Briggs, Derek C. ^{[3
]}

Everson, Howard T. ^{[4
]}

Ho, Andrew D. ^{[5
]}

Lottridge, Susan M. ^{[6
]}

Madison, Matthew J. ^{[7
,9
]}

Sinharay, Sandip ^{[8
]}

Rodriguez, Michael C.

Russell, Michael ^{[10
]}

von Davier, Alina A. ^{[11
]}

Wind, Stefanie A. ^{[12
]}

机构：

[1] Univ Iowa, Iowa City, IA 52242 USA

[2] James Madison Univ, Harrisonburg, VA USA

[3] Univ Colorado Boulder, Boulder, CO USA

[4] CUNY, New York, NY USA

[5] Harvard Grad Sch Educ, Cambridge, MA USA

[6] Cambium Assessment Inc, Reston, VA USA

[7] Univ Georgia, Tbilisi, Georgia

[8] Educ Testing Serv, Princeton, NJ USA

[9] Univ Minnesota, Minneapolis, MN USA

[10] Boston Coll, Boston, MA USA

[11] Duolingo, Pittsburgh, PA 15206 USA

[12] Univ Alabama, Tuscaloosa, AL USA

来源：

EDUCATIONAL MEASUREMENT-ISSUES AND PRACTICE | 2023年

关键词：

assessment; educational measurement; fairness; psychometrics; validity;

D O I：

10.1111/emip.12581

中图分类号：

G40 [教育学];

学科分类号：

040101 ; 120403 ;

摘要：

This article presents the consensus of an National Council on Measurement in Education Presidential Task Force on Foundational Competencies in Educational Measurement. Foundational competencies are those that support future development of additional professional and disciplinary competencies. The authors develop a framework for foundational competencies in educational measurement, illustrate how educational measurement programs can help learners develop these competencies, and demonstrate how foundational competencies continue to develop in educational measurement professions. The framework introduces three foundational competency domains: Communication and Collaboration Competencies; Technical, Statistical, and Computational Competencies; and Educational Measurement Competencies. Within the Educational Measurement Competency domain, the authors identify five subdomains: Social, Cultural, Historical, and Political Context; Validity, Validation, and Fairness; Theory and Instrumentation; Precision and Generalization; and Psychometric Modeling.

引用

页数：11

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