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Gallo, Donna J. – Journal of Research in Music Education, 2018
The purpose of this study was to compare differences in the quality of professional development between U.S. music educators and teachers of other disciplines. Data were drawn from the 2011-2012 Schools and Staffing Survey. Factors such as types of professional development, quantity of activities, and levels of satisfaction were analyzed through a…
Descriptors: Faculty Development, Music Teachers, Teacher Effectiveness, Educational Quality
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Cavanaugh, Joseph K.; Jacquemin, Stephen J. – Online Learning, 2015
Comparisons of grade based learning outcomes between online and face-to-face course formats have become essential because the number of online courses, online programs and institutional student enrollments have seen rapid growth in recent years. Overall, online education is largely viewed by education professionals as being equivalent to…
Descriptors: Online Courses, Conventional Instruction, Comparative Analysis, Multiple Regression Analysis
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Waller, Niels G.; Jones, Jeff A. – Psychometrika, 2010
A general theory on the use of correlation weights in linear prediction has yet to be proposed. In this paper we take initial steps in developing such a theory by describing the conditions under which correlation weights perform well in population regression models. Using OLS weights as a comparison, we define cases in which the two weighting…
Descriptors: Least Squares Statistics, Correlation, Comparative Analysis, Prediction
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Kryst, Erica L.; Kotok, Stephen; Bodovski, Katerina – Global Education Review, 2015
Disparities in educational outcomes exist between students in rural areas as compared to students in urban settings. While there is some evidence that these rural disparities are present in eastern Europe, little is known about young peoples' lives in the rural areas of this region. This paper presents an analysis of science achievement by…
Descriptors: Foreign Countries, Social Systems, Science Achievement, Achievement Gap
Fleishman, Allen I. – 1978
A Monte Carlo study was performed to test under what conditions and to what degree various alternatives would be superior to multiple linear regression (MLR). The criteria used was the mean squared error of prediction of individual scores and the mean squared error of estimation of the regression weights. Populations were simulated containing…
Descriptors: Comparative Analysis, Error of Measurement, Factor Analysis, Least Squares Statistics
Dalton, Starrette – 1976
The degree of nonorthogonality in a factorial design was systematically increased. Five methods of dealing with nonorthogonality were selected and applied: two were least squares solutions (Method 1 and Method 2); two were approximate solutions (the unweighted means analysis and the method of expected frequencies); and the fifth was the…
Descriptors: Analysis of Variance, Comparative Analysis, Data Analysis, Least Squares Statistics
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Shigemasu, Kazuo – Journal of Educational Statistics, 1976
Context for the application and specialization of a Bayesian linear model is m-group regression and the application to the prediction of grade point average. Specialization involves the assumption of homogeneity of regression coefficients (but not intercepts) across groups. Model's predictive efficiency is compared with that of the full m-group…
Descriptors: Bayesian Statistics, Comparative Analysis, Grade Point Average, Least Squares Statistics
Sternberg, Saul; And Others – 1986
Because analyses of reaction-time data are sensitive to aberrant observations and violations of statistical assumptions, a new approach is suggested. In this empirical approach, one applies the same criteria to the problem of selecting a statistical method as one uses to select among alternative experimental procedures. Six criteria are presented…
Descriptors: Comparative Analysis, Evaluation Criteria, Goodness of Fit, Least Squares Statistics
Wongbundhit, Yuwadee – 1984
Two approaches for conceptualizing and estimating a contextual model for analyzing student achievement are the separate equation approach and the single equation approach. The separate equation method determines the relationship between the individual-level independent variable and the individual-level dependent variable within each group. It then…
Descriptors: Academic Achievement, Comparative Analysis, Computer Simulation, Educational Research