Monte Carlo confidence intervals for the indirect effect with missing data
Monte Carlo confidence intervals for the indirect effect with missing data
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Publisher
New York: Springer US
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Language
English
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Publisher
New York: Springer US
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Scope and Contents
Contents
Missing data is a common occurrence in mediation analysis. As a result, the methods used to construct confidence intervals around the indirect effect should consider missing data. Previous research has demonstrated that, for the indirect effect in data with complete cases, the Monte Carlo method performs as well as nonparametric bootstrap confidenc...
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Full title
Monte Carlo confidence intervals for the indirect effect with missing data
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TN_cdi_proquest_miscellaneous_2847746292
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2847746292
Other Identifiers
ISSN
1554-3528
E-ISSN
1554-3528
DOI
10.3758/s13428-023-02114-4
