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Showing all 13 results Save | Export
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Martin, Andrew J.; Yu, Kai; Papworth, Brad; Ginns, Paul; Collie, Rebecca J. – Journal of Psychoeducational Assessment, 2015
This study explored motivation and engagement among North American (the United States and Canada; n = 1,540), U.K. (n = 1,558), Australian (n = 2,283), and Chinese (n = 3,753) secondary school students. Motivation and engagement were assessed via students' responses to the Motivation and Engagement Scale-High School (MES-HS). Confirmatory factor…
Descriptors: Foreign Countries, Motivation, Learner Engagement, Secondary School Students
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Kavanagh, Michael J.; Duffy, John F. – Personnel Psychology, 1978
The retranslation method, usually used in job performance rating, was used to develop a scale for evaluating an educational television series. The method itself was evaluated using both developmental and actual field use data. Results were mixed. (Author/SJL)
Descriptors: Construction (Process), Educational Television, Factor Analysis, Multidimensional Scaling
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Gulo, E. Vaughn; Lynch, Mervin D. – College Student Journal, 1973
Examines the factor structure of the Dogmatism Scale Form E and gathers evidence pertaining to the questions of validity, multidimensional, and use of the DS as a summated rating scale--questions inherent in the Vacchiano (1967) and Penhazur (1971) studies. (Author)
Descriptors: Behavior Rating Scales, Dogmatism, Factor Analysis, Factor Structure
Dancer, L. Suzanne – 1989
The usefulness of L. Guttman's partial order scalogram analysis is investigated in this study of the structure of a set of items that measure attitudes toward legal abortion. These items, drawn from the National Opinion Research Center's "General Social Survey," have been the focus of considerable applied research investigating…
Descriptors: Abortions, Adults, Attitude Measures, Computer Software
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Krus, David J.; And Others – Research in Higher Education, 1975
Reports an exploratory study designed to describe the development of the scales, investigate concerns regarding student perceptions of a large university, and examine in a standard research situation the viability of a new method of multidimensional analysis (order analysis, proposed as an inferential alternative to factor analysis). (JT)
Descriptors: Evaluation Methods, Factor Analysis, Higher Education, Institutional Environment
McCroskey, James C.; McCain, Thomas A. – 1972
This paper reports a factor analytic investigation of the interpersonal attraction construct. Two hundred-fifteen subjects completed 30 Likert-type, 7-step scales concerning an acquaintance. Factor analysis indicated three dimensions of the interpersonal attraction construct which were labeled "task,""social," and "physical." Obtained internal…
Descriptors: Attitudes, Evaluation Criteria, Evaluation Methods, Factor Analysis
Koch, William R. – 1981
A study was conducted to determine the dimensions underlying the items on a course-instructor survey instrument currently in use to measure graduate student ratings of instruction (attached). Both factor analysis and multidimensional scaling methods were used to analyze the response data, so that the results of each could be evluated, and the two…
Descriptors: Comparative Analysis, Course Evaluation, Factor Analysis, Graduate Students
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Marsh, Herbert W.; Richards, Gary E. – Multivariate Behavioral Research, 1987
The factorial structure of the Rotter Internal-External (IE) scale was examined. While there was strong evidence against the unidimensionality of the Rotter scale, the findings suggested that the first-order factors do define a single higher-order construct that may represent the generalized IE construct. (Author/LMO)
Descriptors: Construct Validity, Factor Analysis, Factor Structure, Goodness of Fit
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Banz, Martha L.; Rodgers, Joseph Lee – American Educational Research Journal, 1985
Multidimensional scaling (MDS) was used to derive the dimensions underlying student ratings of instruction. A weighted MDS revealed that departmental affiliation, course structure, and intensity of teaching were particularly salient to the raters. The findings are discussed in light of the current literature on student ratings of instruction.…
Descriptors: College Faculty, Factor Analysis, Higher Education, Multidimensional Scaling
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Smith, Thomas J.; Campbell, Cynthia – Journal of Career Assessment, 2006
The structure of occupational values is investigated using several analytical techniques. Data from the U.S. Department of Labor's Occupational Information Network (O*NET) describing need reinforcers for 900 occupations are examined using exploratory factor analysis, cluster analysis, and multidimensional scaling. Results indicated broadly defined…
Descriptors: Occupational Clusters, Career Counseling, Factor Analysis, Multidimensional Scaling
Schaefer, Earl S.; And Others – 1985
This study replicates and elaborates a three-dimensional, spherical model that integrates research findings concerning social and emotional behavior, psychopathology, and academic competence. Kindergarten teachers completed an extensive set of rating scales on 100 children, including the Classroom Behavior Inventory and the Child Adaptive Behavior…
Descriptors: Academic Achievement, Affective Behavior, Apathy, Classroom Observation Techniques
Sirotnik, Kenneth A. – 1979
This report contains accounts of studies, about scales to be used in the "A Study of Schooling" research project, undertaken to derive indices for constructs presumed to be measureable by composites of items. The report is introduced by a discussion on the rationale for selecting the research methodology used and an explanation of the…
Descriptors: Behavioral Science Research, Cluster Analysis, Cluster Grouping, Correlation
Lathrop, Richard G. – 1987
The Multidimensional Test of Self-Concept (MTS) is based on the assumption that an individual's perception of his/her well-being is related to the difference between the current state of that individual and the desired state. This difference between the two states may be directly measured, and a single self-concept score generated. The MTS…
Descriptors: Adolescents, Adults, Analysis of Variance, Construct Validity