This book takes a fresh look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
The authors start with the basics and begin by re-visiting the mean, and the standard deviation, with which most readers will already be familiar, and show that they can be thought of a least squares model. The book then shows that this least squares model is actually a special case of a regression analysis and can be extended to deal with first one, and then more than one independent variable.
Extending the model from the mean to a regression analysis provides a powerful, but simple, way of thinking about what students believe
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About the Author
My research has primarily been in
- Evaluation of reliability and validity
- Structural equation models
Date of Birth:May 19, 1929
Date of Death:March 4, 2010
Table of Contents
PART ONE: I NEED TO DO REGRESSION ANALYSIS TOMORROWBuilding Models with Regression and CorrelationMore Than One Independent Variable Multiples RegressionCategorical Independent VariablesPART TWO: I NEED TO DO REGRESSION ANALYSIS NEXT WEEKAssumptions in Regression AnalysisIssues in Regression AnalysisPART THREE: I NEED TO KNOW MORE OF THE THINGS THAT REGRESSION CAN DONonlinear and Logistic RegressionModerator and Mediator AnalysisIntroducing Some Advanced Techniques Multilevel Modelling and Structural Equation Modelling