item_weighting_server

Provides a comprehensive Shiny-based graphical user interface
for conducting a wide range of factor analysis procedures. 'FAfA'
(Factor Analysis for All) guides users through data uploading,
assumption checking (descriptives, collinearity, multivariate
normality, outliers), data wrangling (variable exclusion, data
splitting), factor retention analysis (e.g., Parallel Analysis, Hull
method, EGA), Exploratory Factor Analysis (EFA) with various rotation
and extraction methods, Confirmatory Factor Analysis (CFA) for model
testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's
Omega), Measurement Invariance testing across groups, and item
weighting techniques. The application leverages established R packages
such as 'lavaan' and 'psych' to perform these analyses, offering an
accessible platform for researchers and students. Results are
presented in user-friendly tables and plots, with options for
downloading outputs.

Abdullah Faruk KILIC

FAfA

Factor Analysis for All

Ahmet Caliskan

item_weighting_server function

<dl><dt>id</dt>
<dd>Module namespace ID.</dd>
<dt>data</dt>
<dd>Input data (reactive)</dd></dl>

Arguments

Item Weighting Server Module — item_weighting_server

<dl>

<dt>id</dt>
<dd>Module namespace ID.</dd>


<dt>data</dt>
<dd>Input data (reactive)</dd>

</dl>

item_weighting_server: Item Weighting Server Module

Description

Usage

Arguments