Welcome to the Toolkit

Welcome to the home page for the ICALC Toolkit for Stata, tools to apply the principles for interpreting interaction effects described in Part I of Interaction Effects in Linear and Generalized Linear Models: Examples and Applications Using Stata (Kaufman 2018, Sage). Learn how to install the ICALC commands into Stata, download the datasets and do-files for the application examples in Part II of the book, read reviews and comments, link to Sage to purchase the book, and find out when and how to contact me about ICALC program errors.
More about ICALC Download Toolkit

About the Book



Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples using ICALC to show analysts and students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. It emphasizes the challenges of interpretation for GLM’s with non-linear link functions—such as binomial and multinomial logistic regression, probit analysis, ordinal regression models, and count models— and offers solutions to overcome these challenges.
Purchase Book

Reviews & Comments

“This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results.”

- Nicole Kalaf-Hughes, Bowling Green State University 

<< Prev
Next >>

ICALC Description

ICALC stands for Interaction CALCulator, developed as a companion to Robert L. Kaufman’s Interaction Effects in Linear and Generalized Linear Models (Kaufman 2018, Sage). It is a set of tools designed to produce the calculations, tables, and graphics for each of the book’s principles of interpretation. The ICALC Toolkit for Stata is available at no charge (download here). It consists of a set-up tool plus four separate tools for understanding the effect of the focal variable on the outcome as moderated by the predictor(s) with which the focal variable interacts:
INTSPEC Tool
Specify the elements of your interaction model—the main effect variables, the two-way effect terms, and the three-way effect terms (if any). Optionally choose a display name and/or set display values for each of the interacting variables.
GFI Tool
GFI stands for Gather, Factor, and Inspect. Find the algebraic expression for the effect of the focal variable on the modeled outcome. Determine if the focal variable’s effect changes sign as it varies with the values of its moderators..
SIGREG Tool
Create a table showing the focal variable’s effect and statistical significance as it varies across the values of the moderating predictor(s). Effects may be scaled in the original, as-estimated metric, or when relevant as factor changes and/or marginal changes.
EFFDISP Tool
Create visual counterparts to the significance region tables produced by SIGREG. Plot information about the varying magnitude and optionally the significance of the focal variable’s moderated effect.
OUTDISP Tool
Create tables and/or graphs of the predicted values of the outcome as it varies with the interacting predictors. Includes alternative displays for GLMs’ with non-linear link functions, such as logistic regression, ordinal regression models and count models.