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| Preface | |
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| Multiple Regression | |
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| Introduction and Simple (Bivariate) Regression | |
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| Simple (Bivariate) Regression | |
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| Regression in Perspective | |
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| Other Issues | |
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| Review of Some Basics | |
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| Working with Extant Data Sets | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Multiple Regression: Introduction | |
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| A New Example: Regressing Grades on Homework and Parent Education | |
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| Questions | |
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| Direct Calculation of [beta] and R[superscript 2] | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Multiple Regression: More Detail | |
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| Why R[superscript 2] '' r[superscript 2]+r[superscript 2] | |
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| Predicted Scores and Residuals | |
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| Least Squares | |
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| Regression Equation = Creating a Composite? | |
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| Assumptions of Regression and Regression Diagnostics | |
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| Summary | |
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| Exercises | |
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| Note | |
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| Three and More Independent Variables and Related Issues | |
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| Three Predictor Variables | |
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| Rules of Thumb: Magnitude of Effects | |
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| Four Independent Variables | |
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| Common Causes and Indirect Effects | |
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| The Importance of R[superscript 2]? | |
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| Prediction and Explanation | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Three Types of Multiple Regression | |
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| Simultaneous Multiple Regression | |
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| Sequential Multiple Regression | |
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| Stepwise Multiple Regression | |
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| The Purpose of the Research | |
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| Combining Methods | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Analysis of Categorical Variables | |
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| Dummy Variables | |
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| Other Methods of Coding Categorical Variables | |
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| Unequal Group Sizes | |
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| Additional Methods and Issues | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Categorical and Continuous Variables | |
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| Sex, Achievement, and Self-Esteem | |
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| Interactions | |
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| A Statistically Significant Interaction | |
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| Specific Types of Interactions Between Categorical and Continuous Variables | |
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| Caveats and Additional Information | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Continuous Variables: Interactions and Curves | |
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| Interactions Between Continuous Variables | |
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| Moderation, Mediation, and Common Cause | |
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| Curvilinear Regression | |
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| Summary | |
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| Exercises | |
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| Note | |
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| Multiple Regression: Summary, Further Study, and Problems | |
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| Summary | |
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| Assumptions and Regression Diagnostics | |
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| Topics for Additional Study | |
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| Problems with Mr? | |
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| Exercises | |
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| Note | |
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| Beyond Multiple Regression | |
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| Path Modeling: Structural Equation Modeling with Measured Variables | |
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| Introduction to Path Analysis | |
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| A More Complex Example | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Path Analysis: Dangers and Assumptions | |
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| Assumptions | |
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| The Danger of Common Causes | |
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| Intervening (Mediating) Variables | |
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| Other Possible Dangers | |
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| Dealing with Danger | |
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| Review: Steps in a Path Analysis | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Analyzing Path Models Using SEM Programs | |
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| SEM Programs | |
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| Reanalysis of the Parent Involvement Path Model | |
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| Advantages of SEM Programs | |
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| More Complex Models | |
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| Advice: Mr Versus SEM Programs | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Error: The Scourge of Research | |
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| Effects of Unreliability | |
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| Effects of Invalidity | |
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| Latent Variable SEM and Errors of Measurement | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Confirmatory Factor Analysis | |
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| Factor Analysis or the Measurement Model | |
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| An Example with the Das | |
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| Testing Competing Models | |
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| Hierarchical Models | |
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| Model Fit and Model Modification | |
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| Additional uses of CFA | |
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| Summary | |
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| Exercises | |
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| Putting It All Together: Introduction to Latent Variable SEM | |
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| Putting the Pieces Together | |
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| An Example: Effects of Peer Rejection | |
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| Competing Models | |
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| Model Modifications | |
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| Summary | |
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| Exercises | |
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| Latent Variable Models: More Advanced Topics | |
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| Single Indicators and Correlated Errors | |
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| Multisample Models | |
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| Replication and Cross-Validation | |
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| Dangers, Revisited | |
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| Summary | |
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| Exercises | |
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| Notes | |
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| Summary: Path Analysis, CFA, and SEM | |
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| Summary | |
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| Issues Incompletely or Not Covered | |
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| Additional Resources | |
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| Data Files | |
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| Sample Statistical Programs and Multiple Regression Output | |
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| Sample Output from SEM Programs | |
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| Partial and Semipartial Correlation | |
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| Review of Basic Statistics Concepts | |
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| References | |
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| Name Index | |
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| Subject Index | |