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Curvilinear Extensions to Johnson-Neyman Regions of Significance and Some Applications to Educational Research.
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Wunderlich, Kenneth W.; Borich, Gary D. – 1974
Considerable thought, research, and concern has been expanded in an effort to determine whether the assumption of a quadratic relation between a single predictor and a criterion violated the assumptions which Johnson and Neyman (1936) state for calculating regions of significance about interacting regressions. In particular, there has been special…
Descriptors: Computer Programs, Educational Research, Hypothesis Testing, Mathematical Models
Interactions Among Group Regressions: Testing Homogeneity of Group Regressions and Plotting Regions of Significance
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Borich, Gary D. – Educational and Psychological Measurement, 1971
Descriptors: Computer Programs, Hypothesis Testing, Interaction Process Analysis, Predictor Variables
Extreme Groups Designs and the Calculation of Statistical Power
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Borich, Gary D.; Godbout Robert C. – Educational and Psychological Measurement, 1974
Threedifferent statistical procedures for identifying aptitude-treatment interactions are discussed: (1) treatment x blocks analysis of variance (2) homogeneity of groups regressions and (3) extreme groups analysis. (Author)
Descriptors: Analysis of Variance, Aptitude Treatment Interaction, Computer Programs, Hypothesis Testing
Johnson-Neyman Revisited: Determining Interactions Among Group Regressions and Plotting Regions of Significance in the Case of Two Groups, Two Predictors, and One Criterion
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Borich, Gary D.; Wunderlich, Kenneth W. – Educational and Psychological Measurement, 1973
Descriptors: Analysis of Covariance, Computer Programs, Homogeneous Grouping, Input Output