R package TripleR. Social Relation Model (SRM) analyses for single or multiple round-robin groups are performed. These analyses are either based on one manifest variable, one latent construct measured by two manifest variables, two manifest variables and their bivariate relations, or two latent constructs each measured by two manifest variables. Within-group t-tests for variance components and covariances are provided for single groups. For multiple groups two types of significance tests are provided: between-groups t-tests (as in SOREMO) and enhanced standard errors based on Lashley and Bond (1997) <<a href=”http://dx.doi.org/10.1037/1082-989X.2.3.278”>doi:10.1037/1082-989X.2.3.278</a>>. Handling for missing values is provided.
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Nestler, Steffen; Lüdtke, Oliver; Robitzsch, Alexander: Maximum likelihood estimation of a social relations structural equation model (2020)
- Nestler, Steffen; Geukes, Katharina; Hutteman, Roos; Back, Mitja D.: Tackling longitudinal round-robin data: a social relations growth model (2017)
- Nestler, Steffen: Restricted maximum likelihood estimation for parameters of the social relations model (2016)