Erratum to Testing moderating hypotheses in limited dependent variable and other nonlinear models: Total versus secondary moderating effects (Journal of Management, (2012), 38, (860-889), 10.1177/0149206309356324);Testing moderating hypotheses in limited dependent variable and other nonlinear models: Secondary versus total interactions

Journal of Management

Volumn 38, Issue 3, 2012, Pages 860-889

  Bowen, Harry P ^a  

^a QUEENS UNIVERSITY OF CHARLOTTE   (United States)

Author keywords

Interaction effect; Limited dependent variable; Limited dependent variable (LDV); Logit; Moderating effect; Nonlinear model

Indexed keywords

EID: 84859332893     PISSN: 01492063     EISSN: 15571211     Source Type: Journal    
DOI: 10.1177/0149206312464031     Document Type: Erratum

References (14)

1. Ai C.,Norton E. C.Interaction terms in logit and probit models.Economics Letters. 2003;80:123-129.
2. Aiken L. S.,West S. G.Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage; 1991:.
3. Berry W. D.,DeMeritt J. H. R.,Esarey J.Testing for interaction in binary logit and probit models: Is a product term essential?.American Journal of Political Science. 2010;54:248-266.
4. Bowen H. P.,Wiersema M. F.Research methodology in strategy and management. Ketchen D.Bergh D., ed. Oxford, UK: Elsevier; 2004:87-134.
5. Feinberg S. E.,Gupta A. K.MNC subsidiaries and country risk: Internalization as a safeguard against weak external institutions.Academy of Management Journal. 2009;52:381-399.
6. Greene W. H.Econometric analysis. 2008. Econometric analysis (6th ed.) Upper Saddle River, NJ: Prentice Hall.Upper Saddle River, NJ: Prentice Hall; 2008:.
7. Hoetker G.The use of logit and probit models in strategic management research: Critical issues.Strategic Management Journal. 2007;28:331-343.
8. Huang C.,Shields T.Interpretation of interaction effects in logit and probit analyses: Reconsidering the relationship between registration laws, education, and voter turnout.American Politics Research. 2000;28:80-95.
9. Jaccard J.,Wan C. K.,Turrisi R.The detection and interpretation of interaction effects between continuous variables in multiple regression.Multivariate Behavioral Research. 1990;25:467-479.
10. Lien D. D.Predicted and actual frequencies in binomial response models.Economics Letters. 1986;20 (1): 49-51.
11. Puhani P. A.The treatment effect, the cross difference, and the interaction term in nonlinear "difference-in-difference" models. Bonn, Germany: Institute for the Study of Labor; 2008:.
12. Radenburg S. W.,Byrk A. S.Hierarchical linear models: Applications and data analysis methods. 2002. Hierarchical linear models: Applications and data analysis methods (2nd ed.). Thousand Oaks, CA: Sage.Thousand Oaks, CA: Sage; 2002:.
13. Wiersema M. F.,Bowen H. P.The use of limited dependent variable techniques in strategy research: issues and methods.Strategic Management Journal. 2009;30:679-692.
14. Zelner B. A.Using simulation to interpret results from logit, probit, and other nonlinear models.Strategic Management Journal. 2009;30:1335-1348.