Factor analysis of the psychosocial risk assessment instrument

The purpose of this paper is to present the results of the application of exploratory factor analysis to demonstrate that factors external to the organization influence the outcome of the Evaluation of the level of psychosocial risks. The variables corresponding to external factors are obtained from...

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Autores:
Bucci, Nunziatina
Luna, Marisabel
Viloria Silva, Amelec Jesus
Hernandez De Velazco, Judith Josefina
Parody, Alexander
Varela Izquierdo, Noel
Borrero Lopez, Luz Adriana
Tipo de recurso:
http://purl.org/coar/resource_type/c_f744
Fecha de publicación:
2018
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/1746
Acceso en línea:
https://hdl.handle.net/11323/1746
https://repositorio.cuc.edu.co/
Palabra clave:
External factors
Factor analysis
KDD
Principal component analysis
Psychosocial risk assessment instrument
Reduction of dimensionality
Rights
openAccess
License
Atribución – No comercial – Compartir igual
Description
Summary:The purpose of this paper is to present the results of the application of exploratory factor analysis to demonstrate that factors external to the organization influence the outcome of the Evaluation of the level of psychosocial risks. The variables corresponding to external factors are obtained from the Social Determinants of Health Model of the World Health Organization (WHO). These measurement tools are used for companies with a high number of workers, so a large amount of data is generated. The elements included in the construct validation are: the Kaiser-Meyer-Olkin (KMO) sample adequacy measure, Barlett’s sphericity test, the communalities, the explained variance percentages, the matrix of factor structure components, the graph of sedimentation and the matrix of rotated components. As a result, we obtain that external factors have a significant impact on the assessment of the level of psychosocial risks. The external variables found are: education, health care services, housing conditions, means of transport, living conditions.