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Tutz, Gerhard; Berger, Moritz – Journal of Educational and Behavioral Statistics, 2016
Heterogeneity in response styles can affect the conclusions drawn from rating scale data. In particular, biased estimates can be expected if one ignores a tendency to middle categories or to extreme categories. An adjacent categories model is proposed that simultaneously models the content-related effects and the heterogeneity in response styles.…
Descriptors: Response Style (Tests), Rating Scales, Data Interpretation, Statistical Bias
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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Tracey, Terence J. G.; Sodano, Sandro M. – Career Development Quarterly, 2008
Interest development is not an easily studied process. There are at least 4 methods for examining the process of stability and change over time: relative stability, absolute stability, profile stability, and structural stability. A program of research that focuses on examining these 4 types of stability is summarized relative to the issues…
Descriptors: Vocational Interests, Childhood Interests, Attitude Change, Research Projects
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Janson, Harald; Olsson, Ulf – Educational and Psychological Measurement, 2004
This article addresses the problem of accounting overall multivariate chance-corrected interobserver agreement when targets have been rated by different sets of judges (not necessarily equal in number). The proposed approach builds on Janson and Olsson's multivariate generalization of Cohen's kappa but incorporates weighting for number of judges…
Descriptors: Interrater Reliability, Multivariate Analysis, Evaluation Methods, Measurement Techniques