Statistical Concepts - A Second Course

Cover
Half Title
Title
Copyright
Dedication
Contents
Preface
Acknowledgments
1. One-Factor Analysis of Variance—Fixed-Effects Model
	1.1	What One-Factor Analysis of Variance Is and How It Works
	1.2 Computing Parametric and Nonparametric Models Using SPSS
	1.3	Computing Parametric and Nonparametric Models Using R
	1.4 Data Screening
	1.5	Power Using G*Power
	1.6 Research Question Template and Example Write-Up
	1.7	Additional Resources
	Problems
2.	Multiple Comparison Procedures
	2.1	What Multiple Comparison Procedures Are and How They Work
	2.2	Computing Multiple Comparison Procedures Using SPSS
	2.3	Computing Multiple Comparison Procedures Using R
	2.4	Research Question Template and Example Write-Up
	Problems
3.	Factorial Analysis of Variance—Fixed-Effects Model
	3.1	What Two-Factor ANOVA Is and How It Works
	3.2	What Three-Factor and Higher-Order ANOVA Models Are and How They Work
	3.3 What the Factorial ANOVA With Unequal n’s Is and How It Works
	3.4	Computing Factorial ANOVA Using SPSS
	3.5	Computing Factorial ANOVA Using R
	3.6	Data Screening
	3.7	Power Using G*Power
	3.8	Research Question Template and Example Write-Up
	3.9	Additional Resources
	Problems
4.	Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate
	4.1	What ANCOVA Is and How It Works
	4.2	Computing ANCOVA Using SPSS
	4.3	Computing ANCOVA Using R
	4.4	Data Screening
	4.5	Power Using G*Power
	4.6	Research Question Template and Example Write-Up
	4.7	Additional Resources
	Problems
5.	Random- and Mixed-Effects Analysis of Variance Models
	5.1	The One-Factor Random-Effects Model
	5.2	The Two-Factor Random-Effects Model
	5.3	The Two-Factor Mixed-Effects Model
	5.4	The One-Factor Repeated Measures Design
	5.5	The Two-Factor Split‑Plot or Mixed Design
	5.6	Computing ANOVA Models Using SPSS
	5.7	Computing ANOVA Models Using R
	5.8	Data Screening for the Two-Factor Split-Plot ANOVA
	5.9	Power Using G*Power
	5.10	Research Question Template and Example Write-Up
	5.11	Additional Resources
	Problems
6.	Hierarchical and Randomized Block Analysis of Variance Models
	6.1	What Hierarchical and Randomized Block Analysis of Variance Models Are and How They Work
	6.2	Mathematical Introduction Snapshot
	6.3	Computing Hierarchical and Randomized Block ANOVA Models Using SPSS
	6.4	Computing Hierarchical and Randomized Block Analysis of Variance Models Using R
	6.5	Data Screening
	6.6	Power Using G*Power
	6.7	Research Question Template and Example Write-Up
	6.8	Additional Resources
	Problems
7.	Simple Linear Regression
	7.1	What Simple Linear Regression Is and How It Works
	7.2	Mathematical Introduction Snapshot
	7.3	Computing Simple Linear Regression Using SPSS
	7.4	Computing Simple Linear Regression Using R
	7.5	Data Screening
	7.6 Power Using G*Power
	7.7	Research Question Template and Example Write-Up
	7.8	Additional Resources
	Problems
8.	Multiple Linear Regression
	8.1	What Multiple Linear Regression is and How It Works
	8.2	Mathematical Introduction Snapshot
	8.3	Computing Multiple Linear Regression Using SPSS
	8.4	Computing Multiple Linear Regression Using R
	8.5	Data Screening
	8.6	Power Using G*Power
	8.7	Research Question Template and Example Write-Up
	8.8	Additional Resources
	Problems
9.	Logistic Regression
	9.1	What Logistic Regression Is and How It Works
	9.2	Mathematical Introduction Snapshot
	9.3	Computing Logistic Regression Using SPSS
	9.4	Computing Logistic Regression Using R
	9.5	Data Screening
	9.6	Power Using G*Power
	9.7	Research Question Template and Example Write-Up
	9.8	Additional Resources
	Problems
10.	Mediation and Moderation
	10.1	What Mediation and Moderation Is and How It Works
	10.2	What Moderation Is and How It Works
	10.3	Computing Mediation and Moderation Using SPSS
	10.4	Computing Mediation and Moderation Using R
	10.5	Additional Resources
	Problems
Appendix: Tables
References
Name Index
Subject Index