Management and Marketing - Research Publications

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    Situation strength as a basis for interactions in psychological models
    Cortina, J ; Köhler, T ; Keeler, K ; Pugh, D (American Psychological Association, 2021)
    One of the most important methods that psychological scientists use to understand behavior and cognition is theorizing. Increasingly, theorizing is used to support not only additive hypotheses, but also multiplicative ones. And yet, authors often struggle to provide adequate theoretical justifications for multiplicative hypotheses. In the late1960’s and early 1970’s, W. Mischel averred that, in “strong” situations, behavior is relatively uniform regardless of one’s personality characteristics. In “weak” situations,that is, those that lack clear behavioral expectations, behavior is not constrained by the situation and is free to covary with personality. This is the situational strength interaction, and although this reasoning has been applied to personality-behavior models, we show that it can be used to justify many interaction models in psychology more generally. In some cases, such reasoning may serve to bolster the more traditional interaction arguments. In other cases, it shows that the traditional interaction arguments must be incorrect. In this tutorial, we describe a generalized situation strength phenomenon, called the restricted variance interaction , that can be used to pinpoint the nature, direction, and even the magnitude of many interaction hypotheses in the psychological sciences. We illustrate the value and application of restricted variance reasoning using examples from the workplace mistreatment literature and then extrapolate to several other areas of psychology.
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    Play It Again, Sam! An Analysis of Constructive Replication in the Organizational Sciences
    Köhler, T ; Cortina, JM (SAGE Publications, 2021-02-01)
    Replication is an essential part of any science, confirming or adjusting our understanding of the world through repeated exploration of a phenomenon of interest. While there has been an increased interest in the role of replication studies, there also exists skepticism regarding the need for more replication. Our empirical analysis of 406 recent studies that use the term “replication” suggests that this criticism stems from a lack of appreciation of the different forms that replication can take, the prevalence (or lack thereof) of many of these forms, and the objectives that are met by one of the least common forms, constructive replication. As such, the purposes of our paper are (1) to explore the different forms that constructive replication can take and the objectives at which each can be directed, (2) to distinguish these forms from other forms of replication with which they are often confused, (3) to determine how common each form of replication is in our field, and (4) to provide concrete examples of different forms of constructiveness from published studies in order to pave the way towards more (and more useful) replications in the future.
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    Restricted Variance Interaction Effects: What They Are and Why They Are Your Friends
    Cortina, JM ; Koehler, T ; Keeler, KR ; Nielsen, BB (SAGE Publications, 2019)
    Although interaction hypotheses are increasingly common in our field, many recent articles point out that authors often have difficulty justifying them. The purpose of this article is to describe a particular type of interaction: the restricted variance (RV) interaction. The essence of the RV interaction is that, as the value of one variable in a system changes, certain values of another variable in the system become less plausible, thus restricting its variance. This, in turn, influences relationships between that variable and other variables. These types of interactions are quite common, even if they are not recognized as RV interactions, and they exist at every level of analysis. The advantage of the RV interaction is that, as compared with other interaction types, it is relatively simple to justify. The different forms of RV interaction do, however, contain complexities of which a researcher must be aware. This article explains and illustrates the forms that RV interactions can take and their often counterintuitive implications. It also describes how one should go about testing them. Our intention is to help researchers strengthen and focus their interaction arguments.