ArticleMultivariate behavioral research
Indirect Effects in Sequential Mediation Models: Evaluating Methods for Hypothesis Testing and Confidence Interval Formation.
Article in Multivariate behavioral research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Soundscapes as Sonic Seasoning of Chocolate: Effects on Taste Perception, Affect, and Liking.Foods (Basel, Switzerland) · 2026Article
- Structuring the AI-enabled home learning environment: a gatekeeper model of digital capital, trust, and relational support.Frontiers in psychology · 2026Article
- AI overuse in education extending the technology acceptance model with Confucian cultural moderation.Frontiers in psychology · 2026Article
- Depressive Symptoms and Physical Activity Mediate the Adverse Effect of Pain on Functional Dependence in Patients With Arthritis: Evidence From the Canadian Longitudinal Study on Aging.Physical therapy · 2025Article
- Prenatal inflammation and trauma symptoms in Latina mothers: The role of discrimination and growing up in an ethnic minoritized context.Brain, behavior, & immunity - health · 2025Article
- Research on the effect of professional competency of college physical education teachers on students' motivation for physical education learning.Frontiers in psychology · 2025Article
- Person-job fit and innovative behavior in new R&D institutions: the mediating effects of self-efficacy and job involvement on business decision-making.Frontiers in psychology · 2025Article
- Unveiling the e-Servicescape of ChatGPT: Exploring User Psychology and Engagement in AI-Powered Chatbot Experiences.Behavioral sciences (Basel, Switzerland) · 2024Article
- Monte Carlo confidence intervals for the indirect effect with missing data.Behavior research methods · 2024Article
- Relationship between emotional intelligence and learning motivation among college students during the COVID-19 pandemic: A serial mediation model.Frontiers in psychology · 2023Article
- Parental attachment and emotional intelligence mediates the effect of childhood maltreatment on callous-unemotional traits among incarcerated male adolescents.Scientific reports · 2022Article
- Sample Size Requirements for Simple and Complex Mediation Models.Educational and psychological measurement · 2022Article
- How Social Exclusion, Embitterment, and Conspiracy Beliefs Mediate Individual's Intention to Vaccination against COVID-19: Results from a Moderated Serial Mediation Analysis.Psychopathology · 2022Article
- A path to post-trauma resilience: a mediation model of the flexibility sequence.European journal of psychotraumatology · 2022Article
- Pathways Linking Health Literacy to Self-Management in People with Type 2 Diabetes.Healthcare (Basel, Switzerland) · 2021Article
- Pubertal timing and functional neurodevelopmental alterations independently mediate the effect of family conflict on adolescent psychopathology.Developmental cognitive neuroscience · 2021Article
- Cannabis-Related Perceptions as Mediators of the Association Between Trait Impulsivity and Cannabis Outcomes.Journal of studies on alcohol and drugs · 2021Article
- Understanding Between-Person Interventions With Time-Intensive Longitudinal Outcome Data: Longitudinal Mediation Analyses.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2021Article
- Mediating effects of rumination and bedtime procrastination on the relationship between Internet addiction and poor sleep quality.Journal of behavioral addictions · 2020Article
- Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure.Psychological methods · 2020Article
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2 authors.
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Abstract
Complex mediation models, such as a two-mediator sequential model, have become more prevalent in the literature. To test an indirect effect in a two-mediator model, we conducted a large-scale Monte Carlo simulation study of the Type I error, statistical power, and confidence interval coverage rates of 10 frequentist and Bayesian confidence/credible intervals (CIs) for normally and nonnormally distributed data. The simulation included never-studied methods and conditions (e.g., Bayesian CI with flat and weakly informative prior methods, two model-based bootstrap methods, and two nonnormality conditions) as well as understudied methods (e.g., profile-likelihood, Monte Carlo with maximum likelihood standard error [MC-ML] and robust standard error [MC-Robust]). The popular BC bootstrap showed inflated Type I error rates and CI under-coverage. We recommend different methods depending on the purpose of the analysis. For testing the null hypothesis of no mediation, we recommend MC-ML, profile-likelihood, and two Bayesian methods. To report a CI, if data has a multivariate normal distribution, we recommend MC-ML, profile-likelihood, and the two Bayesian methods; otherwise, for multivariate nonnormal data we recommend the percentile bootstrap. We argue that the best method for testing hypotheses is not necessarily the best method for CI construction, which is consistent with the findings we present.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.