English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Longitudinal processes often unfold concurrently where the growth of two ormore longitudinal outcomes are associated. Additionally, if the study underinvestigation is long, the growth curves may exhibit nonconstant change withrespect to time. Multiple existing studies have developed multivariate growthmodels with nonlinear functional forms to explore joint development where twolongitudinal records are correlated over time. However, the relationshipbetween multiple longitudinal outcomes may also be unidirectional. Accordingly,it is of interest to estimate regression coefficients of such unidirectionalpaths. One statistical tool for such analyses is longitudinal mediation models.In this study, we develop two models to evaluate mediational processes wherethe linear-linear piecewise growth model is utilized to capture the changepatterns. We define the mediational process as either the baseline covariate orthe change in covariate influencing the change in the mediator, which, in turn,affects the change in the outcome. We present the proposed models throughsimulation studies and real-world data analyses. Our simulation studiesdemonstrate that the proposed mediational models can provide unbiased andaccurate point estimates with target coverage probabilities with a 95%confidence interval. The empirical analyses demonstrate that the proposed modelcan estimate covariates' direct and indirect effects on the change in theoutcome. We also provide the corresponding code for the proposed models.

Assessing Mediational Processes Using Piecewise Linear Growth Curve Models with Individual Measurement Occasions