This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher.
| Series Editor's Introduction |
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v | |
| Preface |
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vii | |
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1 | (17) |
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2 | (1) |
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The Logistic Regression Model |
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3 | (2) |
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Categorical Predictors and Dummy Variables |
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5 | (1) |
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Predicted Values in Logistic Regression |
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6 | (1) |
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Interpretation of Coefficients |
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7 | (2) |
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Probabilities, Odds, and Log Odds Revisited |
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9 | (2) |
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Transformations of the Predictor Variables |
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11 | (1) |
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Definition of Interaction |
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12 | (3) |
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Hierarchically Well-Formulated Models |
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15 | (2) |
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Product Term Analysis Versus Separate Logistic Regressions |
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17 | (1) |
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Interactions Between Qualitative Predictors |
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18 | (12) |
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18 | (6) |
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24 | (6) |
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Interactions Between Qualitative and Quantitative/Continuous Predictors |
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30 | (12) |
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Two-Way Interactions With a Qualitative Moderator Variable |
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30 | (4) |
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Two-Way Interactions With a Quantitative Moderator Variable |
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34 | (3) |
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37 | (5) |
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Interactions Between Quantitative/Continuous Predictors |
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42 | (4) |
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42 | (2) |
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44 | (2) |
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46 | (7) |
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Ordinal Regression Models |
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47 | (3) |
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Multicategory Nominal Variables |
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50 | (3) |
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Additional Considerations |
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53 | (16) |
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Methods of Presenting Interaction Effects |
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53 | (5) |
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Calculating Confidence Intervals |
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58 | (1) |
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Calculating Coefficients of Focal Independent Variables at Different Moderator Values |
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59 | (2) |
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The Bilinear Nature of Interactions for Continuous/Quantitative Variables |
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61 | (2) |
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Partialling the Component Terms |
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63 | (1) |
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Multiple Interaction Effects |
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63 | (2) |
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65 | (1) |
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Model Selection and Trimming |
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66 | (1) |
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67 | (1) |
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67 | (1) |
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68 | (1) |
| Notes |
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69 | (1) |
| References |
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69 | (1) |
| About the Author |
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70 | |
Dr. James Jaccard is Professor of Social Work at New York University Silver School of Social Work. He received his doctoral degree from the University of Illinois, Urbana, in 1976. Dr. Jaccards research focuses on adolescent and young adult problem behaviors, particularly those related to unintended pregnancy and substance use, broadly defined. He has developed parent-based interventions to teach parents how to more effectively communicate and parent their adolescent children so as to reduce the risk of unintended pregnancies and problems due to substance use. Dr. Jaccard has written numerous books and articles on the analysis of interaction effects in a wide range of statistical models and teaches advanced graduate courses on structural equation modeling. He has written influential articles on the issue of arbitrary metrics in social science research. Dr. Jaccard also has written about theory construction and how to build conceptual models in a book published by Guilford Press.
