One of the most fundamental assumptions in parametric statistical analysis is that the parametric model correctly captures the form of relationships being modeled. A key example is traditional multiple linear regression, where each partial regression function is assumed to be linear. This...

This manuscript provides a tutorial for management researchers on modern methods of regularization. Regularization methods are tools to help researchers avoid overestimating the coefficients of individual predictor variables in multiple regression, especially in high-dimensional problems. Such...

Affect was largely ignored in the organizational sciences until very recently. However, the impact of affect on dynamic process influencing workplace behavior is increasingly critical. This study employs the multi-way analytic techniques PARAFAC and the Tucker model in an attempt to clarify the...