The Interaction of Values and Validity Assessment: Does a Test's Level of Validity Depend on a Researcher's Values?

Springer Science and Business Media LLC - Tập 45 - Trang 45-54 - 1998
Mark D. Reckase1
1ACT, Iowa City, U.S.A.

Tóm tắt

This paper presents a somewhat different framework for considering the validity problem than that proposed by Messick (1989). Validity evaluation is considered as a problem of comparing continua in a multidimensional space corresponding to constructs, tests, and applications. This framework is used to consider the position taken by Markus (1998) and to argue that a test's validity is independent of a researcher's values, and that a completion of Messick's synthesis is not needed.

Tài liệu tham khảo

DeVellis, Robert F.: 1991, Scale Development: Theory and Application (Sage Publications, Newbury Park, CA). Markus, Keith A.: 1998 (in press), ‘Science, measurement, and validity: Is completion of Samuel Messick's synthesis possible?’, Social Indicators Research. Messick, Samuel: 1989, ‘Validity’, in Robert L. Linn (ed.), Educational Measurement 3rd Edition (American Council on Education & Macmillan, New York). Reckase, Mark D: 1998 (in press), ‘Consequential validity from the test developers perspective’, Educational Measurement: Issues and Practice. Reckase, Mark D.: 1996, ‘A linear-logistic multidimensional model for dichotomous item response data’, in Wim J. van der Linden and Ronald K. Hambleton (eds.), Handbook of Modern Item Response Theory (Springer, New York). Stout, W., B. Habing, J. Douglas, H. R. Kim, L Roussos, and J. Zhang: 1996, ‘Conditional covariance-based nonparametric multidimensional assessment’, Applied Psychological Measurement 20(4), pp. 331–354. Wang, M.: 1988, Measurment Bias in the Application of a Unidimensional Model to Multidimensional Item Response Data. Unpublished manuscript (Educational Testing Service, Princeton, NJ).