teststandards.org tells us: The Standards for Educational and Psychological Testing was developed to "promote the sound and ethical use of tests and to provide a basis for evaluating the quality of testing practices" (AERA, APA, & NCME, 1999, p. 1). The Standards provides criteria for the "evaluation of tests, testing practices, and the effects of test use" (AERA, APA, & NCME, 1999, p. 2).
Comments on the current revision of the Standards are requested by Wednesday, April 20, 2011.
Let me share my thoughts with you ...
There's a fundamentally qualitative difference between measurement standards as they are defined by the AERA-APA-NCME and as they are defined in sciences that prioritize measurement as quantification involving the equal-ratio divisibility of magnitude differences. The Standards, to date, try to control the process with operational recommendations. Standards in the natural sciences, in contrast, focus on the metrics.
The psychosocial sciences focus on process because of the near-universal assumption that quantitative standards like those of the natural sciences are not feasible, notwithstanding 80+ years of theory, data, and calibrated instruments to the contrary. In contrast, the natural sciences do not need to bother with processual recommendations as standards because traceability to reference-standard metrics mediates the way natural laws and theories structure the relation of observations to expectations. Of course, a tape measure or an ammeter must be used correctly, but no one worries about whether the tape measure or the ammeter is itself "fair".
What we need to do is to establish the viability of an alternative form of standards, ones dominated by rigorously articulated and predictive construct theories, instruments calibrated to universally uniform metrics, and data fit to models specifying the requirements for objective inference. Georg Rasch was well aware that his models are, in fact, statements of psychosocial laws (Rasch, 1960, p. 10-11). When data fit a Rasch model, the investigator has effectively discovered a new law, or failed to falsify an existing one.
AERA-APA-NCME: Mandated Fairness → Consequence: (Hoped for) Good Measures
Rasch: Constructed Good Measures → Consequence: (Verifiable) Fairness
With the widespread awareness of the dominant paradigm's role in maintaining the status quo in various disciplines, it has become commonplace to observe that the adherents of a paradigm are almost never persuaded to abandon it in favor of another. New paradigms replace old ones as the proponents and adherents of the old one retire and are replaced by people who grew up familiar with the new one (Kuhn, 1962).
My personal body of work is aimed at building up documentation, language, theory, evidence, and instruments that would constitute the beginnings of a history and tradition of measurement research and practice capable of offering an alternative to the status quo of the dominant psychosocial Standards paradigm.
The August 2011 International Measurement Confederation (IMEKO) meeting in Jena, Germany is an opportunity for Rasch measurement theoreticians and practitioners to interact with natural scientists and engineers who are especially attuned to, informed about, and interested in the possibilities for unifying the language, concepts, and practice of measurement across the sciences. The call for papers is available at ... . The submission deadline is Thursday, March 31st, 2011. I hope to see many of you there.
William P. Fisher, Jr.
T. Kuhn (1962) The Structure of Scientific Revolutions. Chicago: Univ. of Chicago Press.
AERA-APA-NCME Standards for Educational and Psychological Testing, W.P. Fisher, Jr. ... Rasch Measurement Transactions, 2011, 24:4, 1310
|Rasch Measurement Transactions (free, online)||Rasch Measurement research papers (free, online)||Probabilistic Models for Some Intelligence and Attainment Tests, Georg Rasch||Applying the Rasch Model 3rd. Ed., Bond & Fox||Best Test Design, Wright & Stone|
|Rating Scale Analysis, Wright & Masters||Introduction to Rasch Measurement, E. Smith & R. Smith||Introduction to Many-Facet Rasch Measurement, Thomas Eckes||Invariant Measurement: Using Rasch Models in the Social, Behavioral, and Health Sciences, George Engelhard, Jr.||Statistical Analyses for Language Testers, Rita Green|
|Rasch Models: Foundations, Recent Developments, and Applications, Fischer & Molenaar||Journal of Applied Measurement||Rasch models for measurement, David Andrich||Constructing Measures, Mark Wilson||Rasch Analysis in the Human Sciences, Boone, Stave, Yale|
|in Spanish:||Análisis de Rasch para todos, Agustín Tristán||Mediciones, Posicionamientos y Diagnósticos Competitivos, Juan Ramón Oreja Rodríguez|
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|June 24 - July 22, 2022, Fri.-Fri.||On-line workshop: Practical Rasch Measurement - Further Topics (E. Smith, Winsteps), www.statistics.com|
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