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| Dziuban, Charles D. | 1 |
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Peer reviewedWalkey, Frank H. – Educational and Psychological Measurement, 1986
A factor replication procedure (FACTOREP) was evaluated using four psychometrically equivalent synthetic correlation matrices containing an imposed three-subscale structure. Comparisons of the structure revealed by two, three, four, and nine-factor rotations using the FACTOREP showed that only the three factor solutions were replicable across all…
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
Dziuban, Charles D.; And Others – 1973
This study was designed to assess the conceptual structure of the Task of Public Education Opinionnaire (TPE). Since the development of the instrument, several psychometric techniques have been formulated. Two of those methods, image component and alpha factor analysis, were applied to the items of the TPE after the correlation matrices were…
Descriptors: Educational Objectives, Factor Analysis, Item Analysis, Item Sampling
Peer reviewedBirenbaum, Menucha; Montag, Itzhak – Multivariate Behavioral Research, 1986
The purpose of this study was to examine the location of Zukerman's sensation seeking (SS) construct in the personality domain as measured by Cattell's 16 personality factors (16PF). Results of the factor analytic study indicated that the global construct of sensation seeking is related to the broad personality factor of independence. (Author/LMO)
Descriptors: Adults, Behavior Rating Scales, Cognitive Style, Correlation
Drauden, Gail M. – 1976
A job analysis survey was done on 39 entry-level professional classes (e.g. personnel officer, social worker, rehabilitation counselor, research analyst, accountant, computer programmer) to discover statistical factors on which the classes could be scored and to cluster the classes on the basis of these factor scores. A job analysis questionnaire…
Descriptors: Cluster Analysis, Data Collection, Entry Workers, Factor Analysis
Allerup, Peter – 1985
Approximately 1200 Danish school children aged 8, 11, and 14 participated in a questionnaire study under the caption, "Why I like to read." Data from Denmark formed part of an international study, in which 12 other countries used the same questionnaire to explore various functions of reading and to compare them over different countries.…
Descriptors: Data Collection, Elementary Education, Factor Analysis, Foreign Countries
Marsh, Herbert W.; Balla, John R. – 1986
This investigation examined the influence of sample size on different goodness-of-fit indices used in confirmatory factor analysis (CFA). The first two data sets were derived from large normative samples of responses to a multidimensional self-concept instrument and to a multidimensional instrument used to assess students' evaluations of teaching…
Descriptors: Analysis of Variance, Elementary Secondary Education, Factor Analysis, Goodness of Fit
Bers, Trudy – 1977
This paper reports the results of an evaluative statistical analysis of the instrument employed for student evaluation of faculty at Oakton Community College (Illinois). The analysis was performed because the locally devised instrument had never been subjected to systematic study of reliability or validity, and because a review of pertinent…
Descriptors: Community Colleges, Correlation, Evaluation Criteria, Factor Analysis
Kane, Robert B. – 1968
An experimental study examined the possibility that proximity error could bias results from semantic differential questionnaires. Proximity error occurs when, due to the ordering, or polarity, of the differential scales, one answer on the semantic differential results in another answer to a subsequent question being substantially changed from what…
Descriptors: Evaluation, Factor Analysis, Item Analysis, Psychological Testing
MAYESKE, GEORGE W.; AND OTHERS – 1968
THIS STUDY ATTEMPTED TO REDUCE THE NUMBER OF VARIABLES FROM THE EDUCATIONAL OPPORTUNITIES SURVEY QUESTIONNAIRE FOR NINTH GRADE STUDENTS IN AN EMPIRICALLY MEANINGFUL WAY IN ORDER TO REDUCE THE VOLUME OF DATA PROCESSING AND COMPLEXITY OF LATER ANALYSES. AN ACHIEVEMENT COMPOSITE WAS FORMED BY WEIGHTING AND SUMMING A STUDENT'S SCORE ON THE FOLLOWING…
Descriptors: Academic Achievement, Aspiration, Correlation, Cultural Differences


