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Title: SRM_R : a web-based shiny app for social relations analyses
Authors: Wong, MN 
Kenny, DA
Knight, AP
Issue Date: Jan-2024
Source: Organizational research methods, Jan. 2024, v. 27, no. 1, p. 114-139
Abstract: Many topics in organizational research involve examining the interpersonal perceptions and behaviors of group members. The resulting data can be analyzed using the social relations model (SRM). This model enables researchers to address several important questions regarding relational phenomena. In the model, variance can be partitioned into group, actor, partner, and relationship; reciprocity can be assessed in terms of individuals and dyads; and predictors at each of these levels can be analyzed. However, analyzing data using the currently available SRM software can be challenging and can deter organizational researchers from using the model. In this article, we provide a “go-to” introduction to SRM analyses and propose SRM_R (https://davidakenny.shinyapps.io/SRM_R/), an accessible and user-friendly, web-based application for SRM analyses. The basic steps of conducting SRM analyses in the app are illustrated with a sample dataset of 47 teams, 228 members, and 884 dyadic observations, using the participants’ ratings of the advice-seeking behavior of their fellow employees.
Keywords: Directed dyadic data
Shiny
Social relations designs
Social relations model
Publisher: SAGE Publications
Journal: Organizational research methods 
ISSN: 1094-4281
EISSN: 1552-7425
DOI: 10.1177/10944281221134104
Rights: This is the accepted version of the publication Wong, M.-N., Kenny, D. A., & Knight, A. P. (2024). SRM_R: A Web-Based Shiny App for Social Relations Analyses. Organizational Research Methods, 27(1), 114-139. Copyright © 2022 (The Author(s)). DOI: 10.1177/10944281221134104.
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