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Heausler, Nancy L. – 1987
Each of the four classic multivariate analysis of variance (MANOVA) tests of statistical significance may lead a researcher to different decisions as to whether a null hypothesis should be rejected: (1) Wilks' lambda; (2) Lawley-Hotelling trace criterion; (3) Roy's greatest characteristic root criterion; and (4) Pillai's trace criterion. These…
Descriptors: Analysis of Variance, Discriminant Analysis, Factor Analysis, Hypothesis Testing
Peer reviewedMarcoulides, George A. – Educational and Psychological Measurement, 1994
Effects of different weighting schemes on selecting the optimal number of observations in multivariate-multifacet generalizability designs are studied when cost constraints are imposed. Comparison of four schemes through simulation indicates that all four produce similar optimal values and that reliability should be similar. (SLD)
Descriptors: Budgeting, Comparative Analysis, Costs, Factor Analysis
Download full textChastain, Robert L.; Joe, George W. – 1986
Multivariate methods were used to identify between-set factors relating the criterion set of eleven Wechsler Adult Intelligence Scale Revised subtest variables to the predictor set of demographic variables: age, race, sex, education, occupation, geographic region, and urban versus rural residence. Although factor analysis is usually used to…
Descriptors: Adults, Comparative Analysis, Correlation, Factor Analysis
Johnson, William L.; Nussbaum, Claire – 1984
This document investigates the widely used school climate assessment instrument, the CFK Ltd. School Climate Profile. Part A (General School Climate Factors) was administered by school to a junior high campus (n=257) and a high school campus (n=906) in a major metropolitan area in the Southwestern United States to gather data for administrative…
Descriptors: Data Analysis, Educational Environment, Evaluation, Factor Analysis
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
Peer reviewedKeeves, John P. – International Journal of Educational Research, 1986
Five statistical techniques were used to analyze the data collected in a previous article (TM 511 223) on student achievement, attention, and motivation in secondary school mathematics and science: ordinary least squares regression, canonical correlation, factorial modeling, partial least squares path analysis, and linear structural relations…
Descriptors: Academic Achievement, Attention, Elementary Secondary Education, Factor Analysis
