Análise de Mediação, Moderação e Processos Condicionais
By P. H. M. Prado, J. Korelo, Danielle Mantovani Lucena da Silva. 2014
124 citations recorded by the source corpus.
This paper discusses the main aspects of simple mediation and moderation, as well as the conditional process analysis applied for more complex models, such as mediated moderation and moderated mediation. The recent changes on the way these analysis have been conducted highlights the need to discuss them in order to increase their application in studies conducted in Brazil. The authors provide a discussion about the analysis techniques and the recommendations for the procedures conducted these days. They also present the direct, indirect and total effects and how to read them. Finally, the conditional process analysis, applied for moderated mediation and mediated moderation analysis procedures, is discussed.
Subfields: Information Systems and Management, Sociology and Political Science, Urban Studies
View Paper: https://www.semanticscholar.org/paper/99feaba1c14bd4c91b8a469e5420858fb5677e95
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In Information Systems and Management
- Margaret Duffy
- Esther Thorson
- Eunjin Anna Kim
- Zhenhui (Jack) Jiang
- Ana Javornik
- Izak Benbasat
- Lisa R. Klein
In Sociology and Political Science
- Elisa Puvia
- Margaret Duffy
- S. Loughnan
- Afroditi Pina
- Esther Thorson
- Eunjin Anna Kim
- Nick Haslam
- Zhenhui (Jack) Jiang
In Urban Studies
Citations in the corpus
- Under the Influence: Social Media Influencers’ Impact on Response to Corporate Reputation Advertising (2021, methodology): “Hypotheses 4(a) and 4(b) were tested with a simple mediation model using the bootstrapping procedure (5,000 samples) of PROCESS macro, Model 4 (Hayes 2013), after controlling for the effect of initial attitudes, brand familiarity, and education.”
- Sexual Objectification Increases Rape Victim Blame and Decreases Perceived Suffering (2013, methodology): “Following the protocols of Hayes (2013), we used accelerated and bias-corrected bootstrapping for indirect effects to test the path from condition to blame via moral concern, which revealed a significant indirect effect as indicated by a 95% confidence interval that did not include 0 [.02, 1.05].”