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The measurement model is finished, data are cleaned, and all latent constructs have been confirmed. What still needs doing is a single moderation test implemented with the Latent Moderated Structural Equations (LMS) approach. I am happy to work in Jamovi (preferred) or in R with lavaan/semTools if that is more comfortable for you. Your task is limited to this moderation step. I will share the .omv file or the R data frame, the final syntax for the main model, and a short note on the theoretical rationale. You run the latent interaction, check that the procedure is correctly specified, and return the full analytical output together with a concise interpretation that I can drop straight into the results section of an academic paper. Deliverables • Path diagrams showing the interaction path • Interaction plots (simple-slopes / conditional effects) • Fit indices tables • Latent Interaction Effect (coefficients, standard error, z-value, p-value, SE) • Simple Slopes / Conditional Effects Plot (interactions or ggplot2) • Latent Variable Correlation Heatmap • Variance Explained (R²) for endogenous constructs • Reproducible Jamovi file or R script plus a brief written summary (max 2 pages) Timing Everything should be wrapped up within one week of project start. When you reply, briefly outline your experience with SEM moderation—especially any academic applications—and note which of the two toolchains (Jamovi or R) you prefer for this job.
Project ID: 40188748
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