Open AccessFactorial confirmatory analysis to measure the perception of labor inclusion of people with disabilities
Author(s) -
Saúl Pérez-Hernández,
Deneb Elí Magaña Medina,
Candelaria Guzmán Fernández
Publication year - 2021
Publication title -
nova scientia
Language(s) - English
Resource type - Journals
ISSN - 2007-0705
DOI - 10.21640/ns.v13i27.2836
Subject(s) - confirmatory factor analysis , psychology , structural equation modeling , inclusion (mineral) , exploratory factor analysis , social psychology , goodness of fit , perception , applied psychology , clinical psychology , psychometrics , statistics , mathematics , neuroscience
The objective of this scientific approach was to validate through confirmatory factor analysis a measurement model to determine the perceived importance of the inclusion of persons with disabilities in the labor market, in employees who work or interact during the course of their duties with disabled employees.Method: The study had a quantitative approach with a non-experimental design, was carried out in 4 organizations: a Higher Education Institution, two private sector agencies and a public administration institution, in the Southeast of Mexico; where a total of 120 employees who work or interact during the course of their duties with partners with disabilities participated, the participants were also sought to belong to different departments of those organizations. An exploratory and confirmatory factor analysis was performed to determine the psychometric properties of the instrument.Results: The proposed model ratified by means of confirmatory factor analysis the values of the main fit indicators (X 2 =40.15, p=.216; CMIN/DF= 1.18; CFI=.97; GFI= .91, IFI=.97; RMSEA=.04; CI 90 [.00-.09]).Discussion or conclusion: The results confirm the empirical sustainability of the proposed model to measure the perception on the occupational inclusion of people with disabilities" (POIPD) in organizations with at least one partner with disabilities, the data presented show evidence of a sustainable factor model.