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Lysenko, Larysa V.; Abrami, Philip C.; Dagenais, Christian; Janosz, Michel – Canadian Journal of Education, 2014
This study investigates the predictors of school practitioners' (N = 2,425) use of educational research. The suggested model explained significantly but modestly the infrequent use of educational research by practitioners. Of the four factors in the study, "opinions about research" had the most explanatory power. The results are…
Descriptors: Educational Research, Educational Researchers, Research Utilization, Predictor Variables
Clark, Christopher M.; And Others – 1978
Identification of cues on the major factors affecting judgment is discussed in this paper. The advantages and weaknesses of five approaches to identifying, selecting, and defining features of objects or activities to be judged is examined. These features are: (1) logical specification; (2) expert opinion; (3) prespecification and narrowing of a…
Descriptors: Cognitive Processes, Decision Making, Educational Research, Factor Analysis
Dyer, Henry S.; And Others – 1967
Progress made to date in efforts to lay the groundwork for establishing meaningful and on-going procedures for the assessment of the performance of educational systems in New York is reported. The need for educational performance indicators is that indicators would provide a series of measures to show how well educational systems are performing,…
Descriptors: Educational Research, Evaluation Criteria, Factor Analysis, Feasibility Studies

Morris, John D.; Guertin, Wilson H. – Journal of Experimental Education, 1977
Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)
Descriptors: Correlation, Educational Research, Factor Analysis, Factor Structure
Kester, Ralph J.; Hull, William L. – 1974
Four styles of professional-organizational functioning were identified through a factor analysis of questionnaire data. The questionnaire was based on a conceptual framework derived from the literature administered to a cross section of educational practitioners. The four styles were found to be differently related to four constructs and several…
Descriptors: Administrator Characteristics, Correlation, Educational Change, Educational Research

Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research

Ewert, Alan; Sibthorp, Jim – Journal of Experiential Education, 2000
Multivariate analytic techniques offer useful research methods that permit the experiential educator to test theoretical models, analyze the effects of several variables acting together, and predict the effects of one set of variables upon another set of variables. Several of these techniques are discussed, including analysis of variance, multiple…
Descriptors: Adventure Education, Analysis of Covariance, Analysis of Variance, Educational Research
Wright State Univ., Dayton, OH. – 1974
This study was designed to investigate the impact that collective negotiations have had on teachers' salaries in Ohio; and the relationships between the incidence of work stoppages and the characteristics of Ohio school districts. Since the focus of this was twofold, it was found necessary to employ several statistical techniques to accomplish the…
Descriptors: Collective Bargaining, Discriminant Analysis, Educational Finance, Educational Research
Penfield, Douglas A. – 1972
Thirty-four papers on educational statistics which were presented at the 1971 AERA Conference are summarized. Six major interest areas are covered: (a) general information; (b) non-parametric methods; (c) errors of measurement and correlation techniques; (d) regression theory; (e) univariate and multivariate analysis; (f) factor analysis. (MS)
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Science Research, Computers