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Yoon, So Yoon – ProQuest LLC, 2011
Working under classical test theory (CTT) and item response theory (IRT) frameworks, this study investigated psychometric properties of the Revised Purdue Spatial Visualization Tests: Visualization of Rotations (Revised PSVT:R). The original version, the PSVT:R was designed by Guay (1976) to measure spatial visualization ability in…
Descriptors: Undergraduate Students, Test Bias, Guessing (Tests), Construct Validity
Thomas, Julia Anne – 1985
A sample of 234 fifth- and 259 sixth-grade students scaled the items of the Piers-Harris, Tennessee, Coopersmith, and Lipsett self-concept measures. The scaling of the Piers-Harris and the Tennessee inventories was examined in reference to their subscales. The present technique placed items on a bivariate plane of two orthogonal dimensions…
Descriptors: Evaluation Methods, Factor Structure, Intermediate Grades, Orthogonal Rotation
McKinley, Robert L.; Reckase, Mark D. – 1984
To assess the effects of correlated abilities on test characteristics, and to explore the effects of correlated abilities on the use of a multidimensional item response theory model which does not explicitly account for such a correlation, two tests were constructed. One had two relatively unidimensional subsets of items, the other had all…
Descriptors: Ability, Correlation, Factor Structure, Item Analysis
Thompson, Bruce; Borrello, Gloria M. – 1987
Attitude measures frequently produce distributions of item scores that attenuate interitem correlations and thus also distort findings regarding the factor structure underlying the items. An actual data set involving 260 adult subjects' responses to 55 items on the Love Relationships Scale is employed to illustrate empirical methods for…
Descriptors: Adults, Analysis of Covariance, Attitude Measures, Correlation
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement