Phoenix - Your AI AssistantLongitudinal Analysis: Growth Curves & Change Models
Delivery in
5 days
- Views 5
Amount of days required to complete work for this Offer as set by the freelancer.
Rating of the Offer as calculated from other buyers' reviews.
Average time for the freelancer to first reply on the workstream after purchase or contact on this Offer.
What you get with this Offer
I will conduct a longitudinal statistical analysis of your repeated measures or panel data — using Latent Growth Curve Modelling (LGCM) in R (lavaan) or multilevel growth curve models (lme4) — estimating trajectories over time, individual differences in growth, and the effect of time-invariant and time-varying predictors on change. Longitudinal data contains information about change that cross-sectional analysis fundamentally cannot capture; LGCM and multilevel growth models are the appropriate tools for extracting that information while correctly accounting for within-person correlation across measurement occasions.
The analysis covers growth curve model specification (linear, quadratic, or piecewise), model fit assessment (CFI, RMSEA, SRMR for LGCM; AIC/BIC for lme4), individual and mean growth trajectory plot, predictor effects on intercept and slope, random effect variance decomposition, time-varying covariate inclusion, and a results report with growth curve figure and trajectory interpretation.
Designed for clinical psychologists, developmental researchers, educational scientists, and longitudinal cohort study analysts requiring rigorous change modelling methodology.
The analysis covers growth curve model specification (linear, quadratic, or piecewise), model fit assessment (CFI, RMSEA, SRMR for LGCM; AIC/BIC for lme4), individual and mean growth trajectory plot, predictor effects on intercept and slope, random effect variance decomposition, time-varying covariate inclusion, and a results report with growth curve figure and trajectory interpretation.
Designed for clinical psychologists, developmental researchers, educational scientists, and longitudinal cohort study analysts requiring rigorous change modelling methodology.
What the Freelancer needs to start the work
Please share your longitudinal dataset with person ID and time variable identified, your outcome and predictor variables, number of measurement occasions, your theoretical model of change (linear or non-linear), your R version, and your research question and output format.