Avoiding spurious moderation effects : an information-theoretic approach to moderation analysis
Year of publication: |
2019
|
---|---|
Authors: | Daryanto, Ahmad |
Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 103.2019, p. 110-118
|
Subject: | Moderated regression model | Information-theoretic approach | Akaike information criterion | Nonlinearity effects | Robustness check | Regressionsanalyse | Regression analysis | Theorie | Theory | Monte-Carlo-Simulation | Monte Carlo simulation |
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