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Autor/inSirotnik, Kenneth A.
InstitutionCalifornia Univ., Los Angeles. Graduate School of Education
TitelDevelopment and Psychometric Analyses of Major Scales Utilized in A Study of Schooling. A Study of Schooling in the United States. Technical Report Series, No. 4.
Quelle(1979), (122 Seiten)Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; Monographie
SchlagwörterQuantitative Daten; Behavioral Science Research; Cluster Analysis; Cluster Grouping; Correlation; Elementary Secondary Education; Factor Analysis; Item Analysis; Measures (Individuals); Multidimensional Scaling; Multivariate Analysis; Psychometrics; Rating Scales; Research Methodology; Test Construction
AbstractThis 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 researcher's approach to scale construction. The main analytic tools used were factor and cluster analyses, followed by internal consistency analyses to further assess the reliability and validity of resulting item dimensions. Both procedures were used to find sets (clusters or factors) of items which tend to correlate more highly within sets than between sets. The report is divided into six sections, each devoted to constructs measured in the study: (1) self-concept: upper and secondary students; (2) nationalism: upper elementary and secondary students (attitude and knowledge scales) and teachers (attitude scales); (3) educational beliefs: teachers; (4) influence: teachers; (5) organizational climate: teachers; and (6) class climate: secondary and upper elementary students. For each section, a description is presented of the development of the measurement scale and an analysis of matrices obtained from responses. Tables follow each discussion displaying internal consistency analyses, patterns that emerged from factor analyses, and correlation matrices. (JD)
Erfasst vonERIC (Education Resources Information Center), Washington, DC
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