Interaction effects in linear and generalized linear models : examples and applications using Stata /: examples and applications using Stata. (2018)
- Record Type:
- Book
- Title:
- Interaction effects in linear and generalized linear models : examples and applications using Stata /: examples and applications using Stata. (2018)
- Main Title:
- Interaction effects in linear and generalized linear models : examples and applications using Stata
- Further Information:
- Note: Robert L. Kaufman, Temple University.
- Authors:
- Kaufman, Robert L
- Contents:
- Chapter 1: Introduction and Background; Overview: Why should you read this book?; The logic of Interaction effects in Linear Regression Models; The Logic of Interaction effects in Generalized linear Models; Diagnostic Testing and Consequences of Model Misspecification; Roadmap for the Rest of the Book; Chapter 2: Basics of Interpreting the Focal Variable's Effect in the Modeling Component; GFI Basics: Algebraic Regrouping, Point Estimates, and Sign Changes; Plotting Effects; Chapter 3: The Varying Significance of the Focal Variable's Effect; Johnson-Neyman Mathematically Derived Significance Region; Empirically-Defined Significance Region; Confidence Bounds and Error Bar Plots; Chapter 4: Linear (Identity Link) Models: Using the Predicted Outcome for Interpretation; Options for Display and Reference Values; Reference Values for the Other Predictors; Constructing Tables of Predicted Outcome Values; Charts and Plots of the Expected Value of the Outcome; Chapter 5: Non-identity Link Functions: Challenges of Interpreting Interactions in Non-Linear Models; Identifying the Issues; Mathematically Defining the Confounded Sources of Nonlinearity; Revisiting Options for Display and Reference Values; Solutions; Summary and Recommendations; Derivations and Calculations; Chapter 6: ICALC Toolkit: Syntax, Options, and Examples; Overview; INTSPEC: Interaction Specification Syntax and Options; GFI Tool: Syntax and Options; SIGREG Tool: Syntax and Options; EFFDISP Tool: Syntax and Options;Chapter 1: Introduction and Background; Overview: Why should you read this book?; The logic of Interaction effects in Linear Regression Models; The Logic of Interaction effects in Generalized linear Models; Diagnostic Testing and Consequences of Model Misspecification; Roadmap for the Rest of the Book; Chapter 2: Basics of Interpreting the Focal Variable's Effect in the Modeling Component; GFI Basics: Algebraic Regrouping, Point Estimates, and Sign Changes; Plotting Effects; Chapter 3: The Varying Significance of the Focal Variable's Effect; Johnson-Neyman Mathematically Derived Significance Region; Empirically-Defined Significance Region; Confidence Bounds and Error Bar Plots; Chapter 4: Linear (Identity Link) Models: Using the Predicted Outcome for Interpretation; Options for Display and Reference Values; Reference Values for the Other Predictors; Constructing Tables of Predicted Outcome Values; Charts and Plots of the Expected Value of the Outcome; Chapter 5: Non-identity Link Functions: Challenges of Interpreting Interactions in Non-Linear Models; Identifying the Issues; Mathematically Defining the Confounded Sources of Nonlinearity; Revisiting Options for Display and Reference Values; Solutions; Summary and Recommendations; Derivations and Calculations; Chapter 6: ICALC Toolkit: Syntax, Options, and Examples; Overview; INTSPEC: Interaction Specification Syntax and Options; GFI Tool: Syntax and Options; SIGREG Tool: Syntax and Options; EFFDISP Tool: Syntax and Options; OUTDISP Tool: Syntax and Options; Chapter 7: Linear Regression Model Applications; Overview; Single Moderator Example; The Effect of SES Moderated by Age; Two Moderators Example; Data and Testing; The Effect of Birth Cohort Moderated by Family Income; The Effect of Education Moderated by Family Income; The Effect of Family Income Moderated by Birth Cohort and Education; Special Topics; Chapter 8: Logistic Regression and Probit Applications; Overview; One Moderator Example; Three-Way Interaction Example (Interval by Nominal); Special Topics; Chapter 9: Multinomial Logistic Regression Applications; Overview; One Moderator Example; Two Moderators Example; Special Topics; Chapter 10: Ordinal Regression Models; Overview; One Moderator Example; Two Moderators Interaction Example (Nominal by Two Interval); Special Topics; Chapter 11: Count Models; Overview; Properties and Use of Count Models; One Moderator Example (Interval by Nominal); Three-Way Interaction Example (Interval by Interval by Nominal); Special Topics; Chapter 12: Extensions and Final Thoughts; Extensions; Final Thoughts: Do's, Don'ts, and Cautions; References; Appendix: Data For Examples; … (more)
- Publisher Details:
- Thousand Oaks : SAGE Publications, Inc
- Publication Date:
- 2018
- Extent:
- 1 online resource (618 pages)
- Subjects:
- 519.5/36
Regression analysis
Regression analysis -- Data processing
Mathematical statistics
Mathematical statistics -- Data processing
Linear models (Statistics) - Languages:
- English
- ISBNs:
- 9781506365398
1506365396 - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.327696
- Ingest File:
- 02_333.xml