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Peer reviewedHollenbeck, George P. – Educational and Psychological Measurement, 1972
The Little Jiffy" consists of principal components analysis and varimax rotation of all components with eigenvalues greater than one. (DG)
Descriptors: Cognitive Development, Comparative Analysis, Factor Analysis, Factor Structure
Broadbooks, 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
Kameoka, Velma; Sine, Larry – 1979
Bargmann's test for examining the statistical significance of simple structure in factor analysis, an extension of the original significance tables, and the application of the significance test to several noted factor analytic findings are described. Using Bargmann's test, only 2 of 25 factor analytic studies reviewed are considered acceptable.…
Descriptors: Factor Analysis, Oblique Rotation, Orthogonal Rotation, Predictor Variables
Chastain, 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
Blankmeyer, Eric – 1994
A limitation of the principal components method is its scale dependence. This note shows that the method is scale invariant if the normalization is modified in an obvious way. Then the effect of a change in units is as transparent as in linear regression, and principal components can be used without apology. Most researchers who use multivariate…
Descriptors: Change, Factor Analysis, Foreign Countries, Higher Education
PDF pending restorationSchumacker, Randall E. – 1994
A population data set was randomly generated from which a random sample was drawn. This sample was randomly divided into two data sets, one of which was used to generate parameter estimates, which were then used in the second data set for cross-validation purposes. The best variable subset models were compared between the two data sets on the…
Descriptors: Comparative Analysis, Criteria, Estimation (Mathematics), Factor Analysis
Rabinowitz, Stanley N.; Pruzek, Robert – 1978
Despite advances in common factor analysis, a review of 89 studies published in four selected journals between 1963 and 1976 indicated that behavioral scientists preferred principal components analysis, followed by varimax or orthogonal rotation. Resultant row sums of squares of factor matrices from principal component analyses of real data sets…
Descriptors: Bayesian Statistics, Comparative Analysis, Educational Research, Factor Analysis
Kingsbury, G. Gage – 1985
A procedure for assessing content-area and total-test dimensionality which uses response function discrepancies (RFD) was studied. Three different versions of the RFD procedure were compared to Bejar's principal axis content-area procedure and Indow and Samejima's exploratory factor analytic technique. The procedures were compared in terms of the…
Descriptors: Achievement Tests, Comparative Analysis, Elementary Education, Estimation (Mathematics)
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
Allerup, Peter – 1985
Approximately 1200 Danish school children aged 8, 11, and 14 participated in a questionnaire study under the caption, "Why I like to read." Data from Denmark formed part of an international study, in which 12 other countries used the same questionnaire to explore various functions of reading and to compare them over different countries.…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Foreign Countries
Bers, Trudy – 1977
This paper reports the results of an evaluative statistical analysis of the instrument employed for student evaluation of faculty at Oakton Community College (Illinois). The analysis was performed because the locally devised instrument had never been subjected to systematic study of reliability or validity, and because a review of pertinent…
Descriptors: Community Colleges, Correlation, Evaluation Criteria, Factor Analysis
Bonn, Robert L. – 1975
The report provides a detailed analysis by cross-tabulation of how a series of clergy support variables relate to continuing education program participation and to congressional provision of time/money resources for continuing education. A descriptive overview and an analytical perspective are given; tables are provided which contain the…
Descriptors: Churches, Clergy, Enrollment Influences, Enrollment Rate
Kane, Robert B. – 1968
An experimental study examined the possibility that proximity error could bias results from semantic differential questionnaires. Proximity error occurs when, due to the ordering, or polarity, of the differential scales, one answer on the semantic differential results in another answer to a subsequent question being substantially changed from what…
Descriptors: Evaluation, Factor Analysis, Item Analysis, Psychological Testing
MAYESKE, GEORGE W.; AND OTHERS – 1968
THIS STUDY ATTEMPTED TO REDUCE THE NUMBER OF VARIABLES FROM THE EDUCATIONAL OPPORTUNITIES SURVEY QUESTIONNAIRE FOR NINTH GRADE STUDENTS IN AN EMPIRICALLY MEANINGFUL WAY IN ORDER TO REDUCE THE VOLUME OF DATA PROCESSING AND COMPLEXITY OF LATER ANALYSES. AN ACHIEVEMENT COMPOSITE WAS FORMED BY WEIGHTING AND SUMMING A STUDENT'S SCORE ON THE FOLLOWING…
Descriptors: Academic Achievement, Aspiration, Correlation, Cultural Differences


