Identifying observations that disproportionately influence model estimates is essential for evaluating the robustness of structural equation models (SEMs), yet existing case-level diagnostics remai...

Test and Item Analysis with Shiny

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools

R code for Mixture Multigroup SEM (MMG-SEM). Contribute to AndresFPA/mmgsem development by creating an account on GitHub.

R Shiny Application for Latent Structure Analysis with a Graphical User Interface - hdmeasure/projectLSA

31K likes, 246 comments - illustrae_co on January 27, 2026: "Go from abstract to academic poster in minutes with Illustrae.co 🧬🎨 #phd #stem #thesis #postdoc #postgrad".

psychonetrics: An R package for Structural Equation Modeling and Confirmatory Network Analysis

A find(e)r of influential cases and outliers in SEM - sfcheung/semfindr

This repository provides the code for BSO for correlated factor models - timtrautwein/BSO-Correlated-Factor-Models

This package contains many functions for conducting negligible effect statistical testing (also called equivalence testing). - cribbie/negligible

Combined importance–performance map analysis (cIPMA) extends partial least squares structural equation modeling (PLS-SEM) by integrating importance as…

This study provides a methodological exploration of the ‘Lovemarks’ framework in social media marketing by replicating and extending the work of (Feta…

Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unc...

Rnest : An R package for the Next Eigenvalue Sufficiency Tests (NEST) - quantmeth/Rnest

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Despite an emerging body of scholarship on applying generative AI (GenAI) to qualitative data analysis, this area remains underdeveloped. This article evaluates how GenAI can support thematic analysis...

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Bayesian and structural-after-measurement (SAM) approaches have been developed, in part, to address limitations of conventional estimators in the context of structural equation models (SEMs) with late...