Distribution of the product confidence limits for the indirect effect: Program PRODCLIN
By David P. MacKinnon, Matthew S. Fritz, Jason J. Williams, C. Lockwood. Behavior Research Methods, 2007
1,375 citations recorded by the source corpus.
Subfields: Food Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/5797e18e1f2daa30019d317676d22052c5cb3664
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Kristopher J Preacher
- Andrew F. Hayes
- David P. MacKinnon
- Daniel M. McNeish
- J. B. Rodell
- Ning Li
- Amanda J. Fairchild
- Ryan M Vogel
In Statistics and Probability
- Andrew F. Hayes
- Kristopher J Preacher
- Carl F. Falk
- David P. MacKinnon
- Daniel M. McNeish
- Davood Tofighi
- J. Selig
- A. Montoya
Citations in the corpus
- Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models (2008, methodology): “SPSS, SAS, and R code are available for generating confidence intervals ( MacKinnon, Fritz, Williams, & Lockwood, 2007 ).”
- Implicit Self-Referencing: The Effect of Nonvolitional Self-Association on Brand and Product Attitude (2012, background): “Mediation is indicated if the calculated 95% confidence interval does not include zero (MacKinnon et al. 2007).”
- Sample Size Limits for Estimating Upper Level Mediation Models Using Multilevel SEM (2013, methodology): “MacKinnon et al. (2007) created a freeware program, PRODCLIN, that expanded on earlier methodological work (MacKinnon et al., 2004; Meeker et al., 1981) that had provided a finite set of critical values for researchers to use when constructing asymmetric confidence interval tests of a mediated…”
- Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach (2013, methodology): “However, for the two-factors model Bayes-UCB-CN-V, prediction can be accelerated signi.cantly by the PRODCLIN algorithm without sacri.cing the accuracy [MacKinnon et al. 2007].”