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McQuitty, Louis L. – Educational and Psychological Measurement, 1976
A method of analysis is developed which accounts for whatever variance is present in the responses to test items, additive, configural or the two combined. The method is applied to successive column matrices which report frequencies or endorsements by categories of subjects to answer alternative sets of test items. Approaches are included which…
Descriptors: Analysis of Variance, Cluster Grouping, Factor Analysis, Individual Characteristics
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Simonds, John F.; Simonds, M. Patricia – Journal of Clinical Psychology, 1982
Mothers of children attending nursery schools completed the Behavior Style Questionnaire (BSQ) from which scores for nine temperament categories were derived. Found membership in groups based on factor scores independent of sex, socioeconomic class, age but not ordinal birth position. (Author)
Descriptors: Behavior Patterns, Birth Order, Cluster Grouping, Emotional Adjustment
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Davis, Junius A. – 1965
In this analysis of the structure of the faculty characterizations of students, the same data was used as in the initial study. An oblique solution was obtained by applying the Promax method of Hendrickson and White to the previous Equamax solution. This yielded 18 factors. From intercorrelations among the factor axes, a principal axes procedure…
Descriptors: Cluster Grouping, College Faculty, College Students, Correlation
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Davis, Junius A. – 1964
The structure of characterizations of college students by faculty members, particularly observable and significant dimensions or trait patterns, were investigated. Student ratings by faculty members on 80 bi-polar traits, together with Scholastic Aptitude Test (SAT) scores and high school and college freshman average grades, were obtained.…
Descriptors: Academic Achievement, Admission Criteria, Cluster Grouping, College Faculty
Talbott, Albert D. – 1971
The development of Q methodology is briefly reviewed, and the methodology itself is briefly described. Finally, a number of the issues are raised relating to the use of Q. Q methodology can have fruitful applications if it is not used indescriminately. Appropriate use of Q requires careful attention to the way the problems being researched are…
Descriptors: Attitude Measures, Attitudes, Behavioral Science Research, Cluster Grouping
Davis, Junius A. – 1964
This report, a continuation of the study described in TM 000 174 and TM 000 176, employs identical data and similar methods to determine the nature of desirability separate and apart from the rater's perception of the student's academic performance (rather than his actual performance). The results show an absorption in the faculty perception of…
Descriptors: Academic Achievement, Admission Criteria, Cluster Grouping, College Faculty