rasch_factor: Calculate a factor analysis for a Rasch Model

In lindsayevanslee/whomds: Calculate Results from WHO Model Disability Survey Data

Calculate a factor analysis for a Rasch Model

Description

Calculate a factor analysis for a Rasch Model

Usage

rasch_factor(df, vars_metric, print_results = FALSE, path_output = NULL)

Arguments

df	a data frame of individual survey data, where each row is an individual
vars_metric	a character vector of items to use in the Rasch Analysis
print_results	a logical value indicating whether or not to print various files displaying results from the Rasch Model. Default is FALSE, to not print the files.
path_output	a string with the path to the output folder. Default is NULL.

Details

Unidimensionality of the data is one of the core assumptions of the Rasch Model. This function performs the factor analysis to assess the unidimensionality of the data.

Value

a named list with results from the factor analysis for a Rasch Model:

cor_poly	the matrix of polychoric correlations
eigenvalues	the eigenvalues
parallel_analysis	permutation parallel analysis distribution
results_scree	results of a scree analysis
n_group_factors	number of factors from the parallel analysis in the scree analysis
fa_onefactor	results from factor analysis with one factor
fa_resid	local dependency based on polychoric correlations of the items

See Also

Other rasch functions: rasch_DIF(), rasch_df_nest(), rasch_drop(), rasch_mds_children(), rasch_mds(), rasch_model_children(), rasch_model(), rasch_quality_children_print(), rasch_quality_children(), rasch_rawscore(), rasch_recode(), rasch_rescale_children(), rasch_rescale(), rasch_split_age(), rasch_split(), rasch_testlet()

lindsayevanslee/whomds documentation built on Sept. 9, 2023, 10:54 p.m.