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Marsh, Herbert W.; O'Neill, Rosalie – Journal of Educational Measurement, 1984
The Self-Description Questionnaire III (SDQ III) was designed to measure 13 factors of self-concept. The reliabilities of the factors were high, and correlations among them were low. Academic achievement measures in language and mathematics were correlated with self-concepts in the same areas but not with other self-concept factors. (Author/DWH)
Descriptors: Correlation, Factor Structure, Higher Education, Self Concept
Peer reviewed Peer reviewed
Abeles, Harold F. – Journal of Educational Measurement, 1973
Results of the investigation suggest that the facet-factorial approach can be an effective technique for the construction of rating scales to measure complex behavior such as music performance. (Author)
Descriptors: Behavior Rating Scales, Behavioral Objectives, Factor Structure, Measurement Objectives
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Keogh, Barbara K.; And Others – Journal of Educational Measurement, 1982
This paper assesses the reliabilities of the items and dimensions, determines the extent of agreement among raters, identifies the factor structure, and assesses the influence of sex and age of children on raters' perceptions on a short form of the Teacher Temperament Questionnaire. (Author/PN)
Descriptors: Early Childhood Education, Factor Structure, Individual Differences, Measures (Individuals)
Peer reviewed Peer reviewed
Stevenson, John C.; Evans, Glen T. – Journal of Educational Measurement, 1994
Cognitive holding power is defined as a characteristic of the learning setting that presses students into different kinds of cognitive activity. Development of an instrument to measure cognitive holding power and studies of the instrument's reliability with over 1,500 Australian technical college students are reported. (SLD)
Descriptors: Cognitive Processes, College Students, Factor Structure, Foreign Countries
Peer reviewed Peer reviewed
Birenbaum, Menucha; Tatsuoka, Kikumi – Journal of Educational Measurement, 1982
Empirical results from two studies--a simulation study and an experimental one--indicated that, in achievement data of the problem-solving type where a specific subject matter area is being tested, the greater the variety of the algorithms used, the higher the dimensionality of the test data. (Author/PN)
Descriptors: Achievement Tests, Algorithms, Data Analysis, Factor Structure