R 2025

shinyLavaan

REČKA, Karel

Základní údaje

Originální název

shinyLavaan

Autoři

Vydání

2025

Další údaje

Jazyk

angličtina

Typ výsledku

Software

Obor

50100 5.1 Psychology and cognitive sciences

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Označené pro přenos do RIV

Ano

Organizační jednotka

Fakulta sociálních studií

Klíčová slova anglicky

confirmatory factor analysis; lavaan; shiny; model diagnostics

Technické parametry

Online R shiny application.

Štítky

Změněno: 17. 3. 2026 17:18, Mgr. Blanka Farkašová

Anotace

V originále

Advancements in statistical modeling tools have enabled researchers to delve into complex analyses more effortlessly. shinyLavaan is a user-friendly Shiny R application for seamless confirmatory factor analysis (CFA) utilizing the powerful lavaan R package. It is an intuitive and versatile tool that simplifies the process of specifying and estimating CFA models using lavaan syntax. Users can define their CFA models through an interactive interface, customizing various settings such as the choice of estimator, handling of missing values, and treating indicators (as continuous or ordinal variables). In addition, the application also allows to conduct multigroup analysis. Output is presented in clear tables and insightful plots. As for tables, users can obtain parameter estimates, global fit measures, and information on local lack of fit such as residual correlations and modification indices. The application also generates diagnostic plots, including hopper plots (revealing the strongest residual correlations), structural plots (illustrating relationships between latent variable estimates), and measurement plots (to assess if the model-implied relationship between a factor and its indicator matches the empirical one). An interactive path diagram enhances the visualization of the overall model structure. The application also provides confidence intervals (or bands) for both tables and plots, and users can specify the confidence level they want to work with. In summary, shinyLavaan makes CFA modeling more accessible. Researchers and practitioners can benefit from a user-friendly interface that facilitates model specification, estimation, and comprehensive diagnostics.

Návaznosti

GA23-06924S, projekt VaV
Název: Vliv formátu odpověďové stupnice na psychometrické parametry položek
Investor: Grantová agentura ČR, Vliv formátu odpověďové stupnice na psychometrické parametry položek