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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 language | English |
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Pages (from-to) | 114–139 |
Number of pages | 26 |
Journal | Organizational Research Methods |
Volume | 27 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2024 |
Externally published | Yes |
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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- 10 Invited talk
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An Easy Guide to Social Relations Analysis
Wong, M. N. (Invited speaker)
4 Jan 2023Activity: Talk or presentation › Invited talk
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The Analysis of Data from Dyads and Triads
Wong, M. N. (Invited speaker)
18 Jul 2023Activity: Talk or presentation › Invited talk
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An Easy Guide to Social Relations Analysis
Wong, M. N. (Invited speaker)
19 Apr 2023Activity: Talk or presentation › Invited talk