| 1524 - CONTROLLING FOR 'FALSE NEGATIVES' IN AGENT-BASED MODELS OF ORGANIZATIONAL BEHAVIOR: A REVIEW OF POWER ANALYSIS |
| Authors : Davide Secchi - UNIVERSITY OF SOUTHERN DENMARK, Raffaello Seri - UNIVERSITY OF INSUBRIA |
| Thursday, June 18, 2015 - Slot 4 (11:30 - 13:00) |
| C CONFERENCE ROOM |
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| This article is concerned with the study of statistical power in agent-based modeling (ABM). After an overview of the classic statistical theory on how to interpret Type-II error and power, the manuscript presents a study on ABM simulation articles published in management journals and other outlets likely to publish management and organizational research. Findings show that most studies are underpowered, with some being overpowered. After discussing the risks of under- and over-power, we present a formula to calculate the number of simulation runs to reach an appropriate level of power. The study concludes with the importance for organizational behavior scholars to perform their models in an attempt to reach a power of 0:95 or higher at the 0:01 significance level. |
| Keywords : power analysis, agent-based, effect size |
