Preface to the 3rd edition
Preface to the 2nd edition
Preface to the First Edition
Note

Part 1 Data and SPSS

Chapter 1 Data Analysis
1.
Data analysis procedures
2.
Measurement of variables

Chapter 2: Introduction to SPSS
1.
Execution procedure
2. SPSS window types

Chapter 3 Data Files
1.
Definition and writing
2.
Data conversion
3.
Verification of data
Practice problems

Chapter 4 Analysis Execution and Results
1.
Run analysis
2.
Viewer

Part 2: Descriptive Statistics

Chapter 5 Frequency Analysis
1.
Frequency analysis
Practice problems

Chapter 6: Descriptive Statistics Analysis
1.
Run analysis
2.
Analysis results
Practice problems

Chapter 7 Multiple Response Analysis
1.
Coding of multiple response questions
2.
Variable group definition
3.
Multiple response frequency analysis
4.
Multiple response cross-tabulation
Practice problems

Part 3: Inferential Statistics and Basic Concepts

Chapter 8 Distributions and the Central Limit Theorem
1.
population distribution, sample distribution, sampling distribution
2.
Central limit theorem

Chapter 9 Hypothesis Testing and Significance Levels
1.
Hypothesis
2.
Error and significance level

Part 4: Analysis of Differences Between Groups

Chapter 10 t-test
1.
Basic assumptions
2.
one-sample t-test
3.
Two-dependent (paired) samples t-test
4.
Two independent samples t-test
5.
Welch-Aspin test
Practice problems

Chapter 11 One-Way ANOVA
1.
Basic assumptions
2.
One-way ANOVA
3.
Post-hoc comparative analysis
Practice problems

Chapter 12 Two-Way Variance
1.
Basic assumptions
2.
Two-way variance crossover design
3.
Post hoc comparative analysis of a two-way crossover design
4.
Bi-directional distributed internal design
Practice problems

Chapter 13 Iterative Design
1.
Basic assumptions
2.
Iterative design
3.
Split-compartment factorial design
Practice problems

Chapter 14 Analysis of Covariance
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Chapter 15 Multivariate Analysis of Variance
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Multivariate ANOVA command
7.
Reporting analysis results
Practice problems

Chapter 16 χ² Test
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Part 5: Relationship Analysis

Chapter 17 Correlation Analysis
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Pearson's product-moment correlation coefficient
5.
orthogonal correlation analysis
Practice problems

Chapter 18 Regression Analysis
1.
Basic assumptions
2.
Simple regression analysis
3.
multiple regression analysis
Practice problems

Chapter 19 Logistic Regression Analysis
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Chapter 20 Discriminant Analysis
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Part 6 Model Estimation

Chapter 21 Path Analysis
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Chapter 22 Structural Equation Modeling
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Chapter 23: Multilevel Model Analysis
1.
Basic assumptions
2.
use
3.
Basic principles
4.
Run analysis
5.
Analysis results
6.
Reporting analysis results
Practice problems

Part 7 Validity and Reliability

Chapter 24 Validity

1.
Definition and Concept
2.
type
3.
factor analysis
Practice problems

Chapter 25 Reliability
1.
Definition and Concept
2.
type
3.
Item internal consistency reliability
Practice problems

Practice Problem Answers
References
Search