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Raykov, Tenko; Marcoulides, George A.; Millsap, Roger E. – Educational and Psychological Measurement, 2013
A multiple testing method for examining factorial invariance for latent constructs evaluated by multiple indicators in distinct populations is outlined. The procedure is based on the false discovery rate concept and multiple individual restriction tests and resolves general limitations of a popular factorial invariance testing approach. The…
Descriptors: Testing, Statistical Analysis, Factor Analysis, Statistical Significance
Long, Mark C.; Goldhaber, Dan; Huntington-Klein, Nick – Center for Education Data & Research, 2014
We find statistically significant relationships between changes in wages by occupation and subsequent changes in college majors completed in associated fields. College majors (defined at a detailed level) are most strongly related to wages observed three years earlier, when students were college freshmen. The responses to wages vary depending on…
Descriptors: College Students, Majors (Students), Statistical Significance, Comparative Analysis
Nandakumar, Ratna; Stout, William – 1992
A detailed investigation of the statistical procedure of W. Stout (the computer program DIMTEST) for testing the hypothesis that an essentially unidimensional latent trait model fits observed binary response data from a psychological test is presented. One finding is that DIMTEST may fail to perform as desired in the presence of guessing when…
Descriptors: Computer Simulation, Computer Software, Equations (Mathematics), Estimation (Mathematics)