How to Capture Reciprocal Communication Dynamics: Comparing Longitudinal Statistical Approaches in Order to Analyze Within- and Between-Person Effects
| Autor: | Lukas Otto, Elisabeth Prestele, Fabian Thomas, Judith Möller, Adam Shehata |
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| Přispěvatelé: | Political Communication & Journalism (ASCoR, FMG) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Linguistics and Language
Empirical data Computer science Communication 05 social sciences Monte Carlo method Perspective (graphical) 050401 social sciences methods 050801 communication & media studies Statistical model Language and Linguistics 0508 media and communications 0504 sociology Order (exchange) Econometrics Selection (linguistics) Process communication Reciprocal |
| Zdroj: | Journal of Communication, 71(2), 187-219. Wiley-Blackwell Journal of Communication |
| ISSN: | 0021-9916 |
| Popis: | Choosing an appropriate statistical model to analyze reciprocal relations between individuals’ attitudes, beliefs, or behaviors over time can be challenging. Often, decisions for or against specific models are rather implicit and it remains unclear whether the statistical approach fits the theory of interest. For longitudinal models, this is problematic since within- and between-person processes can be confounded leading to wrong conclusions. Taking the perspective of the reinforcing spirals model (RSM) focusing on media effects and selection, we compare six statistical models that were recently used to analyze the RSM and show their ability to separate within- and between-person components. Using empirical data capturing respondents’ development during adolescence, we show that results vary across statistical models. Further, Monte Carlo simulations indicate that some approaches might lead to wrong conclusions if specific communication dynamics are present. In sum, we recommend using approaches that explicitly model and clearly separate within- and between-person effects. |
| Databáze: | OpenAIRE |
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