Regression, ANOVA, and the General Linear Model
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Regression, ANOVA, and the General Linear Model: A Statistics Primer

Regression, ANOVA, and the General Linear Model: A Statistics Primer

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About the Book

Peter Vik′s Regression, ANOVA, and the General Linear Model: A Statistics Primer demonstrates basic statistical concepts from two different perspectives, giving the reader a conceptual understanding of how to interpret statistics and their use. The two perspectives are (1) a traditional focus on the t-test, correlation, and ANOVA, and (2) a model-comparison approach using General Linear Models (GLM). This book juxtaposes the two approaches by presenting a traditional approach in one chapter, followed by the same analysis demonstrated using GLM. By so doing, students will acquire a theoretical and conceptual appreciation for data analysis as well as an applied practical understanding as to how these two approaches are alike.

Table of Contents:
Chapter 1: Introduction Part I: Foundations of the General Linear Model Chapter 2: Predicting Scores: The Mean and the Error of Prediction Chapter 3: Bivariate Regression Chapter 4: Model Comparison: The Simplest Model Versus a Regression Model Part II: Fundamental Statistical Tests Chapter 5: Correlation: Traditional and Regression Approaches Chapter 6: T-test: Concepts and Traditional Approach Chapter 7: Oneway Analysis of Variance (ANOVA): Traditional Approach Chapter 8: T-test, ANOVA, and the Bivariate Regression Approach Part III: Adding Complexity Chapter 9: Model Comparison II: Multiple Regression Chapter 10: Multiple Regression: When Predictors Interact Chapter 11: Two-way ANOVA: Traditional Approach Chapter 12: Two-way ANOVA: Model Comparison Approach Chapter 13: One-way ANOVA with Three Groups: Traditional Approach Chapter 14: ANOVA with Three Groups: Model Comparison Approach Chapter 15: Two by Three ANOVA: Complex Categorical Models Chapter 16: Two by Three ANOVA: Model Comparison Approach Chapter 17: Analysis of Covariance (ANCOVA): Continuous and Categorical Predictors Chapter 18: Repeated Measures Chapter 19: Multiple Repeated Measures Chapter 20: Mixed Between and Within Designs Appendices A: Research Designs B: Variables, Distributions, & Statistical Assumptions C: Sampling and Sample Sizes D: Null Hypothesis, Statistical Decision-Making, & Statistical Power


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Product Details
  • ISBN-13: 9781412997355
  • Publisher: SAGE Publications Inc
  • Publisher Imprint: SAGE Publications Inc
  • Height: 231 mm
  • No of Pages: 344
  • Sub Title: A Statistics Primer
  • Width: 187 mm
  • ISBN-10: 1412997356
  • Publisher Date: 09 Apr 2013
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 643 gr


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