## Multiple Regression: Testing and Interpreting InteractionsThis successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics. |

### What people are saying - Write a review

User Review - Flag as inappropriate

124

### Contents

Interactions Between Continuous Predictors in Multiple | 9 |

The Effects of Predictor Scaling on Coefficients | 28 |

Testing and Probing ThreeWay Interactions | 49 |

Structuring Regression Equations to Reflect Higher Order | 62 |

Model and Effect Testing with Higher Order Terms | 100 |

Interactions Between Categorical and Continuous Variables | 116 |

Reliability and Statistical Power | 139 |

Practice | 172 |

Algorithm for Identifying ScaleIndependent Terms | 183 |

References | 190 |

Glossary of Symbols | 198 |

Author Index | 204 |

About the Authors | 212 |

### Other editions - View all

### Common terms and phrases

ANOVA approach b3XZ b4XZ bx coefficient categorical variable centered predictors Chapter Cohen comparison group components COMPUTE continuous predictor continuous variables contrast correlation covariance matrix criterion crossing point crossproduct term curve disordinal dummy coding dummy variable effect coding effect size equa equation 5.4 equation 6.1 estimates example Figure global test higher order terms interaction term intercept interpretation involving levels lower order terms main effects mean measurement error multicollinearity Note overall regression post hoc probing predicted predictor variables procedure product term r-test regres regression analysis regression coefficients regression equations containing regression of Y regression of Yon reliability represents researchers sample scale scale invariant scores self-concept simple regression equations simple regression lines Simple Slope Analysis standard deviation standard error standardized solutions starting salary statistical power Table tion transformed uncentered data unstandardized unweighted variance variance-covariance matrix XZ interaction Y on X ZABOVE ZBELOW zero

### Popular passages

Page 192 - Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analyses for the behavioral sciences (2nd ed.). Hillsdale. NJ: Lawrence Erlbaum.

Page 192 - The estimation and interpretation of modifier effects. Journal of Health and Social Behavior, 23, 159-169.

Page 191 - New York: Academic Press. Bohrnstedt, GW, & Carter, TM (1971). Robustness in regression analysis. In HL Costner (Ed.), Sociological methodology 1971 (pp. 118-146). San Francisco: JosseyBass. Bollen, KA, & Barb, KH (1981).