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Peer reviewedBenson, Betsey A.; Reiss, Steven – Australia and New Zealand Journal of Developmental Disabilities, 1984
A factor analytic study of a symptom checklist was conducted with 131 emotionally disturbed, mentally retarded people (12-55 years old). Results added statistical detail to previous clinical reports on the symptoms of emotional disturbances in mentally retarded people. (Author/CL)
Descriptors: Clinical Diagnosis, Emotional Disturbances, Emotional Problems, Factor Analysis
Peer reviewedZwiebel, Abraham; Mertens, Donna M. – American Annals of the Deaf, 1985
Results of Snijders-Oomen Nonverbal Intelligence Test for 251 deaf and 101 hearing children in Israel included that (1) factor structure for total deaf group differs from that of hearing group; (2) differences in cognitive structure were evident by age level for deaf; and (3) differences exist between cognitive structures of hearing and deaf…
Descriptors: Cognitive Development, Deafness, Elementary Secondary Education, Factor Analysis
Peer reviewedCoppotelli, H. Catherina; Orleans, C. Tracy – Journal of Consulting and Clinical Psychology, 1985
Examined effects of naturally occurring partner support on smoking cessation maintenance with 125 newly abstinent, married women smokers. Partner facilitation emerged as the primary predictor of smoking cessation maintenance, accounting for 32 percent of the variance in outcome and identifying more than 80 percent successful and unsuccessful…
Descriptors: Factor Analysis, Females, Helping Relationship, Predictor Variables
Peer reviewedSchurr, K. Terry; Henriksen, L. W. – Educational and Psychological Measurement, 1984
Provided is a description of three methods for testing certain types of a priori hypotheses about differences among covariance matrices. Briefly outlined are procedures for using two computer programs, COFAMM and LISREL, for testing such hypotheses. Also provided are examples of application of the methods to a meaningful data set. (Author/BW)
Descriptors: Analysis of Covariance, Computer Software, Factor Analysis, Hypothesis Testing
Peer reviewedPiotrowski, Chris; Dunham, Frances Y. – Educational and Psychological Measurement, 1984
Research on the semantic differential technique has provided evidence for variance in Osgood's formulation of dimensions of connotative meaning. Retest data based on Piotrowski's original sample is reported. Results indicate support for stability and consistency of the Evaluation dimension. Moderate consistency was found in scales comprising the…
Descriptors: Elementary Education, Factor Analysis, Factor Structure, Semantic Differential
Peer reviewedGilley, William F.; Uhlig, George E. – Psychology: A Quarterly Journal of Human Behavior, 1985
Evaluated the "Cassel Type-A Personality Assessment (TAP)" for identifying Type-A prone individuals (N=110). Factor scores were computed and analyzed by a discriminant analysis which resulted in an overall accuracy of prediction of 95.5 percent of the original group members. (Author/BL)
Descriptors: Factor Analysis, Personality Assessment, Personality Measures, Personality Traits
Peer reviewedWalberg, Herbert J.; And Others – Journal of Educational Research, 1986
Data from a national sample of 1,955 17-year-olds were used to test a model of educational productivity involving ability, motivation, quantity and quality of instruction, and home and classroom environments. A number of factors were found to be significant predictors of student outcomes. (Author/MT)
Descriptors: Academic Achievement, Factor Analysis, High Schools, Influences
Peer reviewedEysenck, Sybil B. G.; Dimitriou, E. C. – Social Behavior and Personality, 1984
Administered the Junior Eysenck Personality Questionnaire to boys (N=1117) and girls (N=1199) in Greece for standardization purposes. Results indicated that factor comparisons between England and Greece are reasonably high, strongly suggesting identical factors in both countries. (LLL)
Descriptors: Children, Cross Cultural Studies, Elementary Education, Factor Analysis
Peer reviewedBentler, P. M.; Tanaka, Jeffrey S. – Psychometrika, 1983
Rubin and Thayer recently presented equations to implement maximum likelihood estimation in factor analysis via the EM algorithm. It is argued here that the advantages of using the EM algorithm remain to be demonstrated. (Author/JKS)
Descriptors: Algorithms, Factor Analysis, Maximum Likelihood Statistics, Research Problems
Peer reviewedRubin, Donald B.; Thayer, Dorothy T. – Psychometrika, 1983
The authors respond to a criticism of their earlier article concerning the use of the EM algorithm in maximum likelihood factor analysis. Also included are the comments made by the reviewers of this article. (JKS)
Descriptors: Algorithms, Estimation (Mathematics), Factor Analysis, Maximum Likelihood Statistics
Peer reviewedGorman, Bernard S.; Primavera, Louis H. – Journal of Experimental Education, 1983
Factor and cluster analyses are distinctly different multivariate procedures with different goals. However, when used in a complementary fashion, each set of methods can be used to enhance the interpretation of results found in the other set of methods. Simple examples illustrating the joint use of the methods are provided. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis
Peer reviewedKoopman, Raymond F. – Psychometrika, 1976
This note proposes an alternative implementation of the regression method which should be slightly faster than the principal components methods for estimating missing data. (RC)
Descriptors: Comparative Analysis, Data Analysis, Factor Analysis, Multiple Regression Analysis
Peer reviewedSimonton, Dean Keith – Social Behavior and Personality, 1975
The interdisciplinary relationships among 15 kinds of creative achievement were examined over 130 generations of European history. A P-technique factor analysis located three major interdisciplinary clusters: (a) discursive; (b) presentational; and (c) rationalism-mysticism. (Author)
Descriptors: Achievement, Creativity, Creativity Research, European History
Peer reviewedFrane, James W. – Psychometrika, 1976
Several procedures are outlined for replacing missing values in multivariate analyses by regression values obtained in various ways, and for adjusting coefficients (such as factor score coefficients) when data are missing. None of the procedures are complex or expensive. (Author)
Descriptors: Correlation, Discriminant Analysis, Factor Analysis, Multiple Regression Analysis
Campbell, Todd C. – 1995
This paper discusses alternatives to R-technique factor analysis that are applicable to counseling and psychotherapy. The traditional R-technique involves correlating columns of a data matrix. O, P, Q, S, and T techniques are discussed with particular emphasis on Q-technique. In Q-technique, people are factored across items or variables with the…
Descriptors: Counseling, Factor Analysis, Q Methodology, Research Methodology


