Raw Data + Analysis Code > Descriptive Statistics

Abstract

Murphy (2021) argues that the increasing complexity of data-analytic methods in the organizational sciences has led to a number of problems. Here, we argue that an antidote to many of these problems is the open sharing of raw data and analysis code. We explore why this is the case, consider anticipated critiques of our suggestions, and offer creative ways to incentivize this practice. Ultimately, we argue that the way to increase the value and interpretability of our research is by making all products of the research process (i.e., manuscripts, but also raw data and analysis code) available to consumers of research.

Publication
Industrial & Organizational Psychology
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Cort W. Rudolph
Associate Professor of Industrial & Organizational Psychology