shinyLavaan : A Confirmatory Factor Analysis Made Easy

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14230%2F24%3A00139374" target="_blank" >RIV/00216224:14230/24:00139374 - isvavai.cz</a>

Result on the web

<a href="https://www.psychoco.org/2024/program.html" target="_blank" >https://www.psychoco.org/2024/program.html</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

shinyLavaan : A Confirmatory Factor Analysis Made Easy

Original language description

Advancements in statistical modeling tools have enabled researchers to delve into complex analyses more effortlessly. This presentation introduces shinyLavaan, a user-friendly Shiny R application for seamless confirmatory factor analysis (CFA) utilizing the powerful lavaan R package. This presentation aims to showcase 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.

Czech name

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Czech description

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Type

O - Miscellaneous

CEP classification

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OECD FORD branch

50100 - Psychology and cognitive sciences

Project

<a href="/en/project/GA23-06924S" target="_blank" >GA23-06924S: Response-scale format effects on the psychometric parameters of items</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů