mod_missing_server

Missing Value Handling Server Module

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

mod_missing_server function

<dl><dt>id</dt>
<dd>Module namespace ID.</dd>
<dt>data</dt>
<dd>Reactive containing the input dataset.</dd></dl>

Arguments

Missing Value Handling Server Module — mod_missing_server

<dl>

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


<dt>data</dt>
<dd>Reactive containing the input dataset.</dd>

</dl>

mod_missing_server: Missing Value Handling Server Module

Description

Usage

Value

Arguments