A synthesis of literature previously scattered across several disciplines, this volume addresses fundamental issues in the analysis of interaction effects in multiple regression with examples from different fields in the social sciences. It is organized around three core questions: one, given sample data can we conclude that there is an interaction effect in a population? Two, if so what is the strength of that effect? And three, what is the nature of that effect?
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 ...
Pearson's rand coarsely categorized measures . American Sociological Review , 46 , 232-239 . Bollen , K. A. & Jackman , R. W. ( 1990 ) . Regression diagnostics : An expository treatment of outliers and influential cases .
With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks.
"This book is remarkable in its accessible treatment of interaction effects.
This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance.
Key Features Covers all major facets of survey research methodology, from selecting the sample design and the sampling frame, designing and pretesting the questionnaire, data collection, and data coding, to the thorny issues surrounding ...
The file is named, “Path Analysis Output.pdf.” ADDITIONAL READING Agresti, A. & Finlay, B. (2009). An introduction to advanced methodology. In A. Agresti & B. Finlay (Eds.), Statistical methods for the social sciences (4th ed.) ...
Where Angels Fear to Tread: Interaction Effects in Multiple Regression : a Research Note
The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half.
Earlier volumes in this series ( e.g. , Berry & Feldman , 1985 ; LewisBeck , 1980 ; Schroeder , Sjoquist ... We rely on the sample regression function Y ; = Bo + B , X , i + B2Xzi + BzYzi + e ; [ 1.2 ] to produce least squares estimates ...