Likelihood Estimation of the Multivariate Social Relations Model
Bibliographic Data
| ID | 19167103 |
|---|---|
| Authors | Steffen Nestler (0000-0001-9724-2441, Leipzig University, corresponding author) |
| Year | 2017 |
| Volume | 43 |
| Issue | 4 |
| Pages | 387-406 |
| Publication date | 2017-12-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Educational and Behavioral Statistics (JOURNAL) |
| Journal identifiers | ISSN: 1076-9986 • E-ISSN: 1935-1054 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.3102/1076998617741106 |
| OpenAlex | W2772167262 |
| Language | EN |
| Citations received | 5 |
| References cited | 19 |
The social relations model (SRM) is a mathematical model that can be used to analyze interpersonal judgment and behavior data. Typically, the SRM is applied to one (i.e., univariate SRM) or two variables (i.e., bivariate SRM), and parameter estimates are obtained by employing an analysis of variance method. Here, we present an extension of the SRM to an arbitrary number of variables and show how the parameters of this multivariate model can be estimated using a maximum likelihood or a restricted maximum likelihood approach. Overall, the two likelihood approaches provide consistent and efficient parameter estimates and can be used to investigate a multitude of interesting research questions
Bivariate analysis · Econometrics · Estimation theory · Maximum likelihood · Multivariate analysis · Multivariate statistics · Restricted maximum likelihood · Statistics · Univariate · Computer Science · Mathematical and Theoretical Epidemiology and Ecology Models · Mathematics · Mental Health Research Topics · Opinion Dynamics and Social Influence
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The social relations model for family data
A new round robin analysis of variance for social interaction data
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Attachment stability and change during adolescence
| Unique citing works | 5 |
|---|---|
| Citations per year | 1.25 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 5 |