SRM_R: A Web-Based Shiny App for Social Relations Analyses

Man Nok Wong, David A. Kenny, Andrew P. Knight

Research output: Journal article publicationJournal articleAcademic researchpeer-review

5 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)114–139
Number of pages26
JournalOrganizational Research Methods
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

Keywords

  • social relations model
  • social relations designs
  • directed dyadic data
  • shiny

ASJC Scopus subject areas

  • Organizational Behavior and Human Resource Management
  • Social Psychology

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