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Henson, Robin K.; Thompson, Bruce – Measurement and Evaluation in Counseling and Development, 2002
T. Vacha-Haase (1998) proposed her "reliability generalization" methodology to characterize (a) typical score reliability for a measure across studies, (b) the variability of score reliabilities, and (c) what measurement protocol features predict the variability in score reliabilities across administration. The present article provides…
Descriptors: Error of Measurement, Generalization, Psychometrics, Research Methodology

Thompson, Bruce – Educational and Psychological Measurement, 1995
Three problems with stepwise research methods are explored. Computer packages may use incorrect degrees of freedom in stepwise computations. In addition, stepwise methods do not identify correctly the best variable set of a given size. A third problem is that stepwise methods tend to capitalize on sampling error. (SLD)
Descriptors: Discriminant Analysis, Error of Measurement, Research Methodology, Research Problems

Thompson, Bruce – Educational and Psychological Measurement, 1990
A Monte Carlo study involving 1,000 random samples from each of 64 different population matrices investigated bias in both canonical correlation and redundancy coefficients. Results indicate that the Wherry correction provides a reasonable solution to this problem and that canonical results are not as biased as has been believed. (TJH)
Descriptors: Error of Measurement, Monte Carlo Methods, Multivariate Analysis, Relationship
Wang, Zhongmiao; Thompson, Bruce – Journal of Experimental Education, 2007
In this study the authors investigated the use of 5 (i.e., Claudy, Ezekiel, Olkin-Pratt, Pratt, and Smith) R[squared] correction formulas with the Pearson r[squared]. The authors estimated adjustment bias and precision under 6 x 3 x 6 conditions (i.e., population [rho] values of 0.0, 0.1, 0.3, 0.5, 0.7, and 0.9; population shapes normal, skewness…
Descriptors: Effect Size, Correlation, Mathematical Formulas, Monte Carlo Methods

Thompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1992
The utility of combining confirmatory factor analysis and second-order methods is illustrated in a study of responses of 487 undergraduate and graduate students to the love instrument of C. Hendrick and S. Hendrick. Second-order confirmatory methods allow the researcher to explore complex realities more thoroughly. (SLD)
Descriptors: Affective Measures, College Students, Error of Measurement, Heuristics