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Abstract:
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Consumer psychology and related fields are amassing large and complex datasets via multi-lab collaborations. Such datasets offer the opportunity for the assessment of replicability and generalizability of research findings as well as the opportunity to advance theory. Unfortunately, this opportunity has largely gone unrealized either due to narrowness of focus and methodological limitations. To rectify this, we provide reanalyses of multiple such datasets that more fully capture their complexity. These reanalyses yield novel insights that speak to the replicability and generalizability of the effects under study, previously unknown relationships between them, and potential drivers of these relationships which in turn suggest modifications to current theory as well as the design of future such collaborations.
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