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Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model
Abstract
The assessment of mediation in dyadic data is an important issue if researchers are to test process models. Using an extended version of the actor–partner interdependence model the estimation and testing of mediation is complex, especially when dyad members are distinguishable (e.g., heterosexual couples). We show how the complexity of the model can be reduced by assuming specific dyadic patterns. Using structural equation modeling, we demonstrate how specific mediating effects and contrasts among effects can be tested by phantom models that permit point and bootstrap interval estimates. We illustrate the assessment of mediation and the strategies to simplify the model using data from heterosexual couples.
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Determining power and sample size for simple and complex mediation models
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Metadata
- Authors
- Ledermann, T., Macho, S., & Kenny, D. A.
- Venue
- Structural Equation Modeling: A Multidisciplinary Journal
- Publisher
- Informa UK Limited
- Published
- 2011-10-05
- Volume
- 18
- Issue
- 4
- Pages
- 595-612
- ISSN
- 1070-5511 (ISSN-L)
- 1532-8007
- OpenAlex
- W2059242307
- Cited by
- 709
- References
- 41
- FWCI
- 12.80
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
