Modeling and Interpreting Interactive Hypotheses in Regression Analysis
By R. Franzese, Cindy D. Kam. 2007
759 citations recorded by the source corpus.
This much-needed pedagogical guide explains the usage, interpretation, and presentation of interactive terms in regression analysis. Authors Franzese and Kam address persistent difficulties in the modeling and interpretation of these terms, and help scholars draw stronger links between substantive theory and statistical modeling. Their concise, self-contained guide is designed to help undergraduate and graduate students appreciate the proper use of statistics in the social sciences, and to offer researchers and practitioners a clear, compact, and handy reference guide on the use of models that incorporate interactive terms.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/331deee9f9f2e234c6f31b2444cf0b1f542ea9de
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In Sociology and Political Science
- A. Presbitero
- Joachim Wehner
- A. Gallego
- M. Sanfilippo
- Carina Schmitt
- Peter H. Starke
- P. D. Renzio
- Roberta Rabellotti
Citations in the corpus
- Citizens, legislators, and executive disclosure: the political determinants of fiscal transparency (2013, background): “…findings are robust to the use of alternative data to measure democracy and its maturity (columns 4 and 5). www.internationalbudget.org 16 The results in Table 3 require additional interpretation in order to estimate the effect of resource dependency in democratic countries (Kam and Franzese 2007).”