#5129. The Power, Accuracy, and Precision of the Relational Event Model

August 2026publication date
Proposal available till 07-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Management of Technology and Innovation;
Strategy and Management;
Decision Sciences (all);
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Abstract:
The relational event model (REM) solves a problem for organizational researchers who have access to sequences of time-stamped interactions. It enables them to estimate statistical models without collapsing the data into cross-sectional panels, which removes timing and sequence information. However, there is little guidance in the extant literature regarding issues that may affect REM’s power, precision, and accuracy. To gain insights into these issues, we conduct a series of experiments using simulated sequences of relational events under different conditions and using different sampling and scaling strategies. Our results indicate that, in most cases, the power and precision levels of REMs are good, making it a strong explanatory model. However, REM suffers from issues of accuracy that can be severe in certain cases, making it a poor predictive model. We provide a set of practical recommendations to guide researchers’ use of REMs in organizational research.
Keywords:
Construct validation; criterion; longitudinal analysis; nonlinear modeling; predictive validity; quantitative research; reliability; validity

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