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Longitudinal Moderated Mediation Analysis in Parallel Process Latent Growth Curve Modeling in Intervention Studies
Nursing Research
|February 2, 2021
Summary
This study demonstrates parallel process latent growth curve modeling (PP-LGCM) to analyze intervention mechanisms. Findings reveal age group moderates self-efficacy
Area of Science:
- Nursing Research
- Health Outcomes
- Intervention Studies
Background:
- Nursing intervention studies often overlook the mechanisms of action, focusing mainly on direct effects.
- Lack of detailed application of longitudinal mediation analysis techniques hinders understanding of intervention efficacy.
- Exploring underlying mechanisms is crucial for refining intervention programs and improving health outcomes.
Purpose of the Study:
- To illustrate the application of parallel process latent growth curve modeling (PP-LGCM).
- To examine longitudinal moderated mediation effects in nursing intervention research.
- To provide a methodological example using real-world data.
Main Methods:
- Utilized longitudinal data from an online bone health intervention study.
- Employed parallel process latent growth curve modeling (PP-LGCM) for analysis.
- Demonstrated a step-by-step application using Mplus statistical software.
Main Results:
- Achieved adequate model fit for PP-LGCM using modification indices.
- Self-efficacy mediation effects on exercise were not significant for the overall sample.
- Conditional indirect effects indicated that age group moderated these mediation effects.
Conclusions:
- PP-LGCM offers an effective approach for analyzing intervention mechanisms in longitudinal studies.
- This method is particularly valuable for theoretically guided intervention programs.
- Understanding moderated mediation enhances the explanation of how interventions influence outcomes.
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