SPSS: A User-Friendly Approach for Version 22

Cover
Brief Contents
Contents
About the Authors
Preface
	About this Edition
	About the User-Friendly Approach
	Acknowledgments
CHAPTER 1 Introduction to SPSS: A User-Friendly Approach
	Don’t Panic!
	How to Use this Book
	Data Analysis as a Decision-Making Process
	Summary
	Practice Exercises
CHAPTER 2 Basic Operations
	Three Windows
	Data Editor
	Syntax Files
	Output Files
	Summary
	Practice Exercises
CHAPTER 3 Finding Sums
	Setting Up the Data
	Running the Analysis
	Reading the Output
	Finding ΣX[2], ΣY[2], and Other Complex Summations
	Find the Sums and Interpret the Output
	More Compute Operators
	Summary
	Practice Exercises
CHAPTER 4 Frequency Distributions and Charts
	Setting Up the Data
	Obtaining Frequency Tables
	Obtaining Frequency Charts
	Obtaining Charts of Means
	Charts of Means for Repeated Measures
	Summary
	Practice Exercises
CHAPTER 5 Describing Distributions
	Setting Up the Data
	Measures of Central Tendency: Mean, Median, and Mode
	Measures of Variability: Range, Variance, and Standard Deviation
	Measures of Normality: Skewness and Kurtosis
	Summary
	Practice Exercises
CHAPTER 6 Compute Statements: Reversing Scores, Combining Scores, and Creating Z-Scores
	Setting Up the Data
	Reverse Scoring Variables
	Generating Multi-Item Scale Scores
	Generating Z-Scores
	Summary
	Practice Exercises
CHAPTER 7 Comparing Means in SPSS (t-Tests)
	A Brief Review of Hypothesis Testing
	The Data
	Setting Up the Data
	One-Sample t-test
	Independent-Samples t-Test
	Paired-Samples t-Test
	Summary
	Practice Exercises
CHAPTER 8 One-Way ANOVA: Means Comparison with Two or More Groups
	Setting Up the Data
	Running the Analyses
	Reading the One-Way ANOVA Output
	Summary
	Practice Exercises
CHAPTER 9 Factorial ANOVA
	Setting Up the Data
	Running the Analysis
	Reading the Output for a Two-Way ANOVA
	Simple Effects Testing
	Summary
	Practice Exercises
	References
CHAPTER 10 Repeated-Measures Analysis of Variance
	One-Way Repeated-Measures ANOVA
	Summary
	Practice Exercises
CHAPTER 11 Regression and Correlation
	Setting Up the Data
	Correlation
	Simple Linear Regression
	Obtaining the Scatterplot
	Summary
	Practice Exercises
CHAPTER 12 Multiple Regression
	Setting Up the Data
	Simultaneous Entry of Two Predictor Variables
	Varying the Order of Entry: Hierarchical Multiple Regression
	Using Automated Strategies for Selecting Predictor Variables
	Summary
	Practice Exercises
CHAPTER 13 Chi-Square
	Setting Up the Data
	Goodness-of-Fit Chi-Square
	Pearson’s Chi-Square
	Summary
	Practice Exercises
	References
CHAPTER 14 Reliability
	Setting Up the Data
	Test-Retest and Parallel Forms Reliability
	Split-Half Reliability
	Cronbach’s Alpha
	Concluding Comments on the GSR Scale
	Summary
	Practice Exercises
CHAPTER 15 Factor Analysis
	Setting Up the Data
	Goals of Factor Analysis
	Running a Factor Analysis in SPSS
	Reading the SPSS Output for Factor Analysis
	Summary
	Practice Exercises
INDEX