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Interaction effects in multiple regression / James Jaccard, Robert Turrisi.
LIBRA HA31.3 .J33 2003
Available from offsite location
- Format:
- Book
- Author/Creator:
- Jaccard, James.
- Series:
- Quantitative applications in the social sciences ; no. 07-072.
- Sage university papers series. Quantitative applications in the social sciences ; no. 07-72
- Language:
- English
- Subjects (All):
- Regression analysis.
- Social sciences--Statistical methods.
- Social sciences.
- Regressieanalyse.
- Regression Analysis.
- Social Sciences.
- Medical Subjects:
- Regression Analysis.
- Social Sciences.
- Local Subjects:
- Regressieanalyse.
- Physical Description:
- vii, 92 pages : illustrations ; 22 cm.
- Edition:
- Second edition.
- Place of Publication:
- Thousand Oaks, Calif. : Sage Publications, [2003]
- Summary:
- Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three-way interactions in multiple regression analysis. Contents: About the Author/Preface/Introduction/Two Way Interactions/Three Way Interactions/Additional Considerations/References
- Contents:
- 1. Introduction
- The concept of interaction
- Simple effects and interaction contrasts
- A review of multiple regression
- Overview of book
- 2. Two-way interactions
- Regression models with product terms
- Two continuous predictors
- A qualitative predictor and a continuous predictor
- Summary
- 3. Three-way interactions
- Three continuous predictors
- Qualitative and continuous predictors
- 4. Additional considerations
- The bilinear nature of interactions for continuous variables
- Calculating coefficients of focal independent variables at different moderator values
- Partialing the component terms
- Transformations
- Multiple-interaction effects
- Standardized and unstandardized coefficients
- Metric properties
- Measurement error
- Robust analyses and assumption violations
- Within-subject and repeated-measure designs
- Ordinal and disordinal interactions
- Regions of significance
- Confounded interactions
- Optimal experimental designs and statistical power
- Covariates
- Control for experimentwise error
- Omnibus tests and interaction effects
- Some common misapplications
- Interaction models with clustered data and random coefficient models
- Continuous versus discrete predictor variables
- The moderator framework revisited.
- Notes:
- Includes bibliographical references (pages 89-91) and index.
- Other Format:
- Online version: Jaccard, James. Interaction effects in multiple regression.
- ISBN:
- 0761927425
- 9780761927426
- OCLC:
- 50942108
- Publisher Number:
- 9780761927426
- Online:
- Publisher description
- Inhaltsverzeichnis Interaction effects in multiple regression
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