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Direct linkCheung, Shu Fai; Chan, Darius K.-S. – Educational and Psychological Measurement, 2008
In meta-analysis, it is common to have dependent effect sizes, such as several effect sizes from the same sample but measured at different times. Cheung and Chan proposed the adjusted-individual and adjusted-weighted procedures to estimate the degree of dependence and incorporate this estimate in the meta-analysis. The present study extends the…
Descriptors: Effect Size, Academic Achievement, Meta Analysis, Correlation
Download full textBroadbooks, Wendy J.; Elmore, Patricia B. – 1983
This study developed and investigated an empirical sampling distribution of the congruence coefficient. The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model and…
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Research Methodology
Peer reviewedBroodbooks, Wendy J.; Elmore, Patricia B. – Educational and Psychological Measurement, 1987
The effects of sample size, number of variables, and population value of the congruence coefficient on the sampling distribution of the congruence coefficient were examined. Sample data were generated on the basis of the common factor model, and principal axes factor analyses were performed. (Author/LMO)
Descriptors: Factor Analysis, Mathematical Models, Monte Carlo Methods, Predictor Variables
Pollicino, Elizabeth B. – 1998
This paper outlines procedures used to derive variables from data in the National Survey of Postsecondary Faculty; these variables were then used to create measures not expressly included as items in that survey. The derived variables were used to examine faculty satisfaction in two contexts: first, the complexity of satisfaction, and second, the…
Descriptors: College Faculty, Factor Analysis, Faculty College Relationship, Higher Education
Tucker, Ledyard R.; And Others – 1986
A Monte Carlo study of five indices of dimensionality of binary items used a computer model that allowed sampling of both items and people. Five parameters were systematically varied in a factorial design: (1) number of common factors from one to five; (2) number of items, including 20, 30, 40, and 60; (3) sample sizes of 125 and 500; (4) nearly…
Descriptors: Correlation, Difficulty Level, Educational Research, Expectancy Tables
Marsh, Herbert W.; Balla, John R. – 1986
This investigation examined the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA). The first two data sets were derived from large normative samples of responses to a multidimensional self-concept instrument and to a multidimensional instrument used to assess students' evaluations of teaching…
Descriptors: Analysis of Variance, Elementary Secondary Education, Factor Analysis, Goodness of Fit
