Advantages of Monte Carlo Confidence Intervals for Indirect Effects
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Summary
This study discusses Monte Carlo confidence intervals for indirect effects, reports the results of a simulation study comparing their performance to that of competing methods, demonstrates the method in applied examples, and discusses several software options for implementation in applied settings.
- Type
- article
- Published
- 2012-04-01
- Cited by
- 1,807
- References
- 61
- Access
- Open access
- OpenAlex
- https://openalex.org/W2104411852
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3198421
Keywords
Monte Carlo method, Bootstrapping (finance), Computer science, Confidence interval, Monte Carlo integration
References
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- Assessing Mediational Models: Testing and Interval Estimation for Indirect Effects
- SPSS and SAS procedures for estimating indirect effects in simple mediation models
- A Comparison of Methods to Test for Mediation in Multisite Experiments
- The Performance of Methods to Test Upper-Level Mediation in the Presence of Nonnormal Data
- The probability function of the product of two normally distributed variables.
- Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods
- Bayesian Mediation Analysis
- A general approach to causal mediation analysis.
- On the Frequency Function of xy
- Explanation of Two Anomalous Results in Statistical Mediation Analysis
- Testing mediational models with longitudinal data: questions and tips in the use of structural equation modeling.
- Resampling and Distribution of the Product Methods for Testing Indirect Effects in Complex Models
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