Replication data for: Modeling and Interpreting Interactive Hypotheses in Regression Analysis: A Brief Refresher and Some Practical Advice

Name: Replication data for: Modeling and Interpreting Interactive Hypotheses in Regression Analysis: A Brief Refresher and Some Practical Advice
Creator: Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan
Published: 2007-01-01T00:00:00+08:00

Harvard Dataverse2009-01-21 更新2026-04-09 收录

回归交互项分析

社会科学定量研究

数据链接：

https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/U2UQ2U 数据链接链接失效反馈

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资源简介：

Social scientists study complex phenomena about which they often propose intricate hypotheses tested with linear-interactive or multiplicative terms. While interaction terms are hardly new to social science research, researchers have yet to develop a common methodology for using and interpreting them. Modeling and Interpreting Interactive Hypotheses in Regression Analysis provides step-by-step guidance on how to connect substantive theories to statistical models and how to interpret and present the results.

提供机构：

Associate Professor, Department of Political Science, University of Michigan, and Research Associate Professor, Center for Political Studies, Institute for Social Research, University of Michigan

创建时间：

2007-01-01