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Bean, Andrew G.; Mayerberg, Cathleen Kubiniec – Journal of Experimental Education, 1975
The purpose of this study was to investigate the relationships among nine relatively independent factors of attitude toward quantitative concepts and measures of quantitative and verbal aptitudes. (Author)
Descriptors: Attitudes, Data Analysis, Factor Analysis, Mathematics
Peer reviewed Peer reviewed
Mehra, N. – Journal of Experimental Education, 1973
In this article, new arguments and empirical evidence are presented justifying the use of standardized R- analysis (or equivalently Q- technique) in certain types of factor-analytic studies. (Editor)
Descriptors: Data Analysis, Educational Research, Factor Analysis, Organizational Climate
Peer reviewed Peer reviewed
Hunter, John E. – Journal of Educational Measurement, 1973
Using the notion of parallel items this paper presents a family of new criteria for cluster analysis. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis
Peer reviewed Peer reviewed
Cooper, Martin – Journal of Experimental Education, 1974
The purpose of the present study was to use factor analysis to demonstrate relationships among aptitude, intelligence, personality, and performance in various high school subjects. (Editor)
Descriptors: Academic Aptitude, Correlation, Data Analysis, Factor Analysis
Peer reviewed Peer reviewed
Bloxom, Bruce – Psychometrika, 1972
Special cases of the factor analysis model are developed for four selection situations. Methods are suggested whereby parameters in each case can be estimated using a maximum likelihood procedure recently developed by Joreskog. (Author)
Descriptors: Data Analysis, Factor Analysis, Hypothesis Testing, Mathematical Applications
Gaughran, Edward; And Others – Adult Education, 1976
The study focuses on the development and partial validation of scales measuring a complex of attitudes toward human fertility. Attitudes were collected from a 270-item questionnaire and factor, multiple regression, and correlation analyses of the collected data were conducted. Inferences for the development of a population education curriculum are…
Descriptors: Attitudes, Birth Rate, Data Analysis, Factor Analysis
Peer reviewed Peer reviewed
Fairbrother, R. W.; Swain, J. R. L. – Educational Research, 1977
The range of assessments made by teachers of the performance of their students in the Nuffield Advanced Biology project and the Nuffield Advanced Physical Science project was subjected to a factor analysis. (Author)
Descriptors: Biology, Data Analysis, Educational Research, Evaluation Criteria
Shafto, Michael – 1972
The purpose of this paper is to suggest a technique of cluster analysis which is similar in aim to the Interactive Intercolumnar Correlation Analysis (IICA), though different in detail. Two methods are proposed for extracting a single bipolar factor (a "contrast compenent") directly from the initial similarities matrix. The advantages of this…
Descriptors: Bibliographies, Classification, Cluster Analysis, Cluster Grouping
Dziuban, Charles; And Others – 1974
The school district fiscal capacity data (1962 and 1967) of the National Finance Project were analyzed for psychometric adequacy and robustness of component composition. The procedures involved: (1) the computation of the Kaiser, Meyer, Olkin Measure of Sampling Adequacy, (2) inspection of the off-diagonal elements of the antiimage covariance…
Descriptors: Correlation, Data Analysis, Educational Finance, Educational Research
Boese, R. R.; Cunningham, J. W. – 1975
Based upon an occupational rating instrument entitled the Occupational Analysis Inventory (OAI), this study sought to produce a more stable and interpretable set of OAI job analysis factors. The study was designed (1) to obtain OAI ratings on an additional 600 jobs and thus enlarge the sample to 1,414 jobs and (2) to derive a meaningful set of…
Descriptors: Classification, Data Analysis, Employment, Factor Analysis
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Kleban, Morton H. – 1978
Q-type factor analysis was used to re-analyze baseline data collected in 1957, on 47 men aged 65-91. Q-type analysis is the use of factor methods to study persons rather than tests. Although 550 variables were originally studied involving psychiatry, medicine, cerebral metabolism and chemistry, personality, audiometry, dichotic and diotic memory,…
Descriptors: Biological Influences, Data Analysis, Factor Analysis, Factor Structure