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Peer reviewedBoyer, John E., Jr.; And Others – Journal of Educational Statistics, 1983
New tests for comparing the strength of association between a variable and each of two potential predictor variables are proposed and compared to an existing test in a simulation study. Recommendations for use are made. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Nonparametric Statistics, Predictive Validity
Peer reviewedMalgady, Robert G.; Huck, Schuyler W. – Educational and Psychological Measurement, 1978
The t ratio used in testing the difference between two independent regression coefficients is generalized to the multivariate case of testing the difference between two vectors of regression coefficients. This is particularly useful in determining which of two variables best predicts a number of criterion variables. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Matrices, Multiple Regression Analysis
Educational Funding and Pupil Achievement: The Relationship between the Two Variables. Final Report.
Connors, Eugene T. – 1982
To determine whether a significant relationship exists between educational funding and pupil achievement as measured by Science Research Associates standardized test scores, the author of this study conducted a statistical analysis of the top one-third and bottom one-third of Virginia's 142 school districts. The 30 districts selected were chosen…
Descriptors: Academic Achievement, Correlation, Educational Finance, Elementary Secondary Education
Robey, Randall R.; Barcikowski, Robert S. – 1986
This paper reports the results of a Monte Carlo investigation of Type I errors in the single group repeated measures design where multiple measures are collected from each observational unit at each measurement occasion. The Type I error of three multivariate tests were examined. These were the doubly multivariate F test, the multivariate mixed…
Descriptors: Analysis of Variance, Behavioral Science Research, Comparative Analysis, Hypothesis Testing
Mayer, Matthew J. – Journal of School Violence, 2004
Methodological challenges associated with structural equation modeling (SEM) and structured means modeling (SMM) in research on school violence and related topics in the social and behavioral sciences are examined. Problems associated with multiyear implementations of large-scale surveys are discussed. Complex sample designs, part of any…
Descriptors: Violence, Structural Equation Models, Research Methodology, Measures (Individuals)

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