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date: 18 November 2019

Abstract and Keywords

Managers using evidence-based management (EBMgt) use data that exist in their organization to draw inferences and make decisions. This process is prone to a number of errors, including the small-numbers problem, measurement unreliability, range restriction, and confounding. This chapter makes recommendations about how managers can minimize these errors and make better-informed decision. Recommended procedures include statistical corrections and computation methods that make data more interpretable as well as changes in the way data are reported and aggregated within organizations.

Keywords: organizational facts, organizational data, meta-analysis, small-numbers problem, aggregation, reliability

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