Description
This presentation introduces the Social Relations Model (SRM) for groups with distinguishable dyad members, such as families where each member has a unique role (e.g., mother, father, oldest and youngest child). The round robin design, in which every family member rates every other member on the same items, is used to obtain observed dyadic scores. These scores can be decomposed into individual, dyadic and family components using the SRM. The SRM parameters can be estimated using a confirmatory factor analysis, but its statistical complexity may pose a challenge for family researchers. To address this, we developed a user-friendly R-package called fSRM which performs almost automatically those rather complex SRM analyses. With fSRM, one line of R-code suffices to fit the SRM. With fSRM, researchers can analyze both simple and more complex social relations models with just one line of R-code. The package uses confirmatory factor analysis, based on the R-package lavaan for structural equation modeling (Rosseel, 2012). The fSRM-output provides easy-to-interpret summary tables of SRM variances, variance decompositions, individual and dyadic reciprocities. In addition, SRM means, which can provide valuable information but are seldom reported, can be obtained and easily compared between roles. The package is suitable for both single and multigroup studies, and contains multiple additional options (e.g., estimating intragenerational similarities). Overall, the fSRM package enables family researchers to overcome the statistical complexity of the SRM and get the most out of their data.| Periode | 12 jul. 2023 |
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| Evenementstitel | European Association of Methodology |
| Evenementstype | Conference |