Contents
1 Basic Concepts in Research and Data Analysis
Introduction: A Common Language for Researchers
Steps to Follow When Conducting Research
Variables, Values, and Observations
Scales of Measurement and JMP Modeling Types
Descriptive versus Inferential Statistical Analysis
The JMP Approach to Statistics
4 Exploring Data with the Distribution Platform
Why Perform Simple Descriptive Analyses?
Example: The Helpfulness Social Survey
A Step-by-Step Distribution Analysis Example
5 Measures of Bivariate Association
Significance Tests versus Measures of Association
Choosing the Correct Statistic
The Chi-Square Test of Independence
Fisher’s Exact Test for 2 X 2 Tables
Appendix: Assumptions Underlying the Tests
6 Assessing Scale Reliability with Coefficient Alpha
Introduction: The Basics of Scale Reliability
7 t-Tests: Independent Samples and Paired Samples
Introduction: Two Types of t-Tests
The Independent-Samples t-Test
Appendix: Assumptions Underlying the t-Test
8 One-Way ANOVA with One Between-Subjects Factor
Introduction: Basics of One-Way ANOVA Between-Subjects Design
Example with Significant Differences between Experimental Conditions
Example with Nonsignificant Differences between Experimental Conditions
Understanding the Meaning of the F Statistic
Appendix: Assumptions Underlying One-Way ANOVA with One Between-Subjects Factor
9 Factorial ANOVA with Two Between-Subjects Factors
Introduction to Factorial Designs
Some Possible Results from a Factorial ANOVA
Example with Nonsignificant Interaction
Example with a Significant Interaction
Appendix: Assumptions for Factorial ANOVA with Two Between-Subjects Factors
10 Multivariate Analysis of Variance (MANOVA) with One Between-Subjects Factor
Introduction: The Basics of Multivariate Analysis of Variance (MANOVA)
A Multivariate Measure of Association
Overview: Performing a MANOVA with the Fit Model Platform
Example with Significant Differences between Experimental Conditions
Example with Nonsignificant Differences between Experimental Conditions
Appendix: Assumptions Underlying MANOVA with One Between-Subjects Factor
11 One-Way ANOVA with One Repeated-Measures Factor
Introduction: What Is a Repeated-Measures Design?
Example with Significant Differences in Investment Size across Time
Repeated-Measures Design versus the Between-Subjects Design
Univariate or Multivariate ANOVA for Repeated-Measures Analysis?
Appendix: Assumptions of the Multivariate Analysis of Design with One Repeated-Measures Factor
12 Factorial ANOVA with Repeated-Measures Factors and Between-Subjects Factors
Introduction: The Basics of Mixed-Design ANOVA
Possible Results from a Two-Way Mixed-Design ANOVA
Problems with the Mixed-Design ANOVA
Example with a Nonsignificant Interaction
Example with a Significant Interaction
Appendix A: An Alternative Approach to a Univariate Repeated-Measures Analysis
Appendix B: Assumptions for Factorial ANOVA with Repeated-Measures and Between-Subjects Factors
Introduction to Multiple Regression
Predicting a Response from Multiple Predictors
The Results of a Multiple Regression Analysis
Example: A Test of the Investment Model
Computing Simple Statistics and Correlations
Estimating the Full Multiple Regression Equation
Uniqueness Indices for the Predictors
Formal Description of Results for a Paper
Appendix: Assumptions Underlying Multiple Regression
14 Principal Component Analysis
Introduction to Principal Component Analysis
The Prosocial Orientation Inventory
Conduct the Principal Component Analysis
Appendix: Assumptions Underlying Principal Component Analysis
Appendix Choosing the Correct Statistic
Introduction: Thinking about the Number and Scale of Your Variables
Guidelines for Choosing the Correct Statistic
Single Response Variable and Multiple Predictor Variables