Moderated Mediation Analysis Using Bayesian Methods
By L. Wang, Kristopher J Preacher. 2015
138 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/979ad37359bf2ab373d891c54ebeb9d394fb8854
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Patrícia Pinto
- Manuel Alector Ribeiro
- João Albino Silva
- K. Woosnam
- Andrew F. Hayes
- Kristopher J Preacher
- Hongbiao Yin
- Paul E. Jose
In Management Science and Operations Research
- Patrícia Pinto
- Manuel Alector Ribeiro
- João Albino Silva
- Andrew F. Hayes
- K. Woosnam
- Michael T. Kalkbrenner
In Statistics and Probability
- Manuel Alector Ribeiro
- K. Woosnam
- Patrícia Pinto
- João Albino Silva
- Andrew F. Hayes
- Kristopher J Preacher
- Won‐Moo Hur
- Hongbiao Yin
Citations in the corpus
- Tourists’ Destination Loyalty through Emotional Solidarity with Residents: An Integrative Moderated Mediation Model (2018, methodology): “Part one comprised the 10-item ESS from Woosnam and Norman (2010) to measure the three factors of emotional solidarity (i.”
- Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation (2018, background): “…all very similar though differing in emphasis, to answering the question as to whether mediation is moderated (e.g., Edwards & Lambert, 2007; Fairchild & MacKinnon, 2009; Hayes, 2015; Hayes & Preacher, 2013; Muller, Judd, & Yzerbyt, 2005; Preacher, Rucker, & Hayes, 2007; Wang & Preacher, 2015).”