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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Avoiding spurious moderation effects
T2 - An information-theoretic approach to moderation analysis
AU - Daryanto, Ahmad
PY - 2019/6/22
Y1 - 2019/6/22
N2 - Researchers typically use moderated regression models to examine the presence of linear moderation effects in their studies. However, researchers rarely conduct a robustness check following a significant moderation effect to investigate whether the moderation effect is spurious. The misleading moderation can occur when a predictor and a moderator variable correlate and the true nature of the relationships between predictors and a dependent variable are nonlinear. In this paper, we propose and illustrate the use of an information theoretic approach in moderation analysis with the aim of avoiding spurious moderation effects. We demonstrate our suggested procedure using Monte Carlo simulations and real data from published studies.
AB - Researchers typically use moderated regression models to examine the presence of linear moderation effects in their studies. However, researchers rarely conduct a robustness check following a significant moderation effect to investigate whether the moderation effect is spurious. The misleading moderation can occur when a predictor and a moderator variable correlate and the true nature of the relationships between predictors and a dependent variable are nonlinear. In this paper, we propose and illustrate the use of an information theoretic approach in moderation analysis with the aim of avoiding spurious moderation effects. We demonstrate our suggested procedure using Monte Carlo simulations and real data from published studies.
KW - Moderated regression model
KW - Information-theoretic approach
KW - Akaike information criterion
KW - Nonlinearity effects
KW - Robustness check
U2 - 10.1016/j.jbusres.2019.06.012
DO - 10.1016/j.jbusres.2019.06.012
M3 - Journal article
VL - 103
SP - 110
EP - 118
JO - Journal of Business Research
JF - Journal of Business Research
SN - 0148-2963
ER -