ArticlePsychometrika2017
Tackling Longitudinal Round-Robin Data: A Social Relations Growth Model.
Article in Psychometrika, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Unfolding the Network of Peer Grades: A Latent Variable Approach.Psychometrika · 2025Article
- A dynamic social relations model for clustered longitudinal dyadic data with continuous or ordinal responses.Journal of the Royal Statistical Society. Series A, (Statistics in Society) · 2024Article
- Time After Time: Attachment Orientations and Impression Formation in Initial and Longer-Term Team Interactions.Frontiers in psychology · 2022Article
- Maximum likelihood estimation of a social relations structural equation model.Psychometrika · 2020Article
- A Dyadic IRT Model.Psychometrika · 2020Article
- Article
- The effects of individual status and group performance on network ties among teammates in the National Basketball Association.PloS one · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The social relations model (SRM) is commonly used in the analysis of interpersonal judgments and behaviors that arise in groups. The SRM was developed only for use with cross-sectional data. Here, we introduce an extension of the SRM to longitudinal data. The social relations growth model represents a person's repeated SRM judgments of another person as a function of time. We show how the model's parameters can be estimated using restricted maximum likelihood, and how the effects of covariates on interindividual and interdyad variability in growth can be computed. An example is presented to illustrate the suggested approach. We also present the results of a small simulation study showing the suitability of the social relations growth model for the analysis of longitudinal SRM data.
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