Multiple Regression: State of the Science

The use of multiple regression was foundational to the advancement of organizational research, establishing itself as one of the most popular statistical frameworks of the field. Multiple regression techniques continue to innovate to meet evolving demands placed on organizational scientists such as the increased number of predictors, larger sample sizes, nonnormal distributions, increased access to data, and more. To provide researchers with an understanding of multiple regression innovations in the evolving landscape of organizational science, here we ( a ) review the literature to define the core themes of multiple regression, ( b ) summarize critical techniques and learnings of extant literature within each theme, and ( c ) highlight the emerging trends and innovations that possess the greatest potential impact to the field. Our review concludes by offering guidance to organizational scientists on how to identify a multiple regression approach from the plethora of available techniques that is best suited to their research question and context.