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Huang, Francis L. – Journal of Experimental Education, 2018
Studies analyzing clustered data sets using both multilevel models (MLMs) and ordinary least squares (OLS) regression have generally concluded that resulting point estimates, but not the standard errors, are comparable with each other. However, the accuracy of the estimates of OLS models is important to consider, as several alternative techniques…
Descriptors: Hierarchical Linear Modeling, Least Squares Statistics, Regression (Statistics), Comparative Analysis
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Harwell, Michael; Maeda, Yukiko – Journal of Experimental Education, 2008
There is general agreement that meta-analysis is an important tool for synthesizing study results in quantitative educational research. Yet, a shared feature of many meta-analyses is a failure to report sufficient information for readers to fully judge the reported findings, such as the populations to which generalizations are to be made,…
Descriptors: Educational Research, Meta Analysis, Research Methodology, Statistical Analysis
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Dunham, Randall B.; Kravetz, Dennis J. – Journal of Experimental Education, 1975
Descriptors: Correlation, Criteria, Data Analysis, Predictor Variables
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Keown, Lauriston L.; Hakstian, A. Ralph – Journal of Experimental Education, 1973
This study involved an investigation of the use of Pearson r, tetrachoric r, and Kendall Tau-B coefficients as measures of association for the incomplete principal components analysis of simulated Likert scale attitudinal data, based on a known factor pattern and possessing different types of severe departures from normality. (Author)
Descriptors: Attitudes, Componential Analysis, Correlation, Data Analysis
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Gorman, Bernard S.; Primavera, Louis H. – Journal of Experimental Education, 1983
Factor and cluster analyses are distinctly different multivariate procedures with different goals. However, when used in a complementary fashion, each set of methods can be used to enhance the interpretation of results found in the other set of methods. Simple examples illustrating the joint use of the methods are provided. (Author)
Descriptors: Cluster Analysis, Correlation, Data Analysis, Factor Analysis
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Huberty, Carl J. – Journal of Experimental Education, 1975
An empirical comparison is made of three proposed indices of relative predictor variable contribution: (1) the scaled weights of the first discriminant function; (2) the total group estimates of the correlations between each predictor variable and the first function; and (3) the within-groups estimates of the correlations between each predictor…
Descriptors: Correlation, Data Analysis, Discriminant Analysis, Educational Research
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Rock, Daniel L. Fordyce, Wilbert E. – Journal of Experimental Education, 1982
A methodology of computing prescribed point biserial correlation coefficients and then evaluating the coefficients with respect to three criteria was developed. It can be used to assess the item convergent validity of nonobjectively scored test items. (Author/PN)
Descriptors: Correlation, Data Analysis, Item Analysis, Measurement Techniques
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Merryman, Edward P. – Journal of Experimental Education, 1974
The purpose of this study was to determine what effects manifest anxiety has on the achievement of selected reading variables (also tasks or skills) of children who, according to their CMAS scores, vary in general drive or anxiety levels. (Author)
Descriptors: Anxiety, Correlation, Data Analysis, Data Collection
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Futcher, Wilfred A. – Journal of Experimental Education, 1973
The contention of this paper is that the obtained difference in a study by DuCette and Wolk, which indicated that giving options in an essay examination produces poorer test performance, was an artifact of the scoring procedures. (Author/RK)
Descriptors: Analysis of Variance, Correlation, Data Analysis, Educational Experiments
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Cooper, Martin – Journal of Experimental Education, 1974
The purpose of the present study was to use factor analysis to demonstrate relationships among aptitude, intelligence, personality, and performance in various high school subjects. (Editor)
Descriptors: Academic Aptitude, Correlation, Data Analysis, Factor Analysis
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Quereshi, M. Y.; And Others – Journal of Experimental Education, 1974
This study attempted to secure information about some personal and social characteristics of the undergraduate psychology majors at Marquette University. (Author/RK)
Descriptors: Correlation, Data Analysis, Educational Research, Psychology