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:
http://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
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oai_identifier_str oai:repositorio.cuc.edu.co:11323/1746
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv Factor analysis of the psychosocial risk assessment instrument
title Factor analysis of the psychosocial risk assessment instrument
spellingShingle Factor analysis of the psychosocial risk assessment instrument
External factors
Factor analysis
KDD
Principal component analysis
Psychosocial risk assessment instrument
Reduction of dimensionality
title_short Factor analysis of the psychosocial risk assessment instrument
title_full Factor analysis of the psychosocial risk assessment instrument
title_fullStr Factor analysis of the psychosocial risk assessment instrument
title_full_unstemmed Factor analysis of the psychosocial risk assessment instrument
title_sort Factor analysis of the psychosocial risk assessment instrument
dc.creator.fl_str_mv Bucci, Nunziatina
Luna, Marisabel
Viloria Silva, Amelec Jesus
Hernandez De Velazco, Judith Josefina
Parody, Alexander
Varela Izquierdo, Noel
Borrero Lopez, Luz Adriana
dc.contributor.author.spa.fl_str_mv Bucci, Nunziatina
Luna, Marisabel
Viloria Silva, Amelec Jesus
Hernandez De Velazco, Judith Josefina
Parody, Alexander
Varela Izquierdo, Noel
Borrero Lopez, Luz Adriana
dc.subject.eng.fl_str_mv External factors
Factor analysis
KDD
Principal component analysis
Psychosocial risk assessment instrument
Reduction of dimensionality
topic External factors
Factor analysis
KDD
Principal component analysis
Psychosocial risk assessment instrument
Reduction of dimensionality
description 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.
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2018-11-23T15:57:43Z
dc.date.available.none.fl_str_mv 2018-11-23T15:57:43Z
dc.date.issued.none.fl_str_mv 2018
dc.type.spa.fl_str_mv Documento de Conferencia
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_f744
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/conferenceObject
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dc.identifier.issn.spa.fl_str_mv 0302-9743
dc.identifier.uri.spa.fl_str_mv http://hdl.handle.net/11323/1746
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv 0302-9743
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url http://hdl.handle.net/11323/1746
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.rights.spa.fl_str_mv Atribución – No comercial – Compartir igual
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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rights_invalid_str_mv Atribución – No comercial – Compartir igual
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.spa.fl_str_mv Lecture Notes in Computer Science
institution Corporación Universidad de la Costa
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spelling Bucci, Nunziatina035d8a089bb7a30a839b3e5366d7eabeLuna, Marisabel645af4ec66b751f83025256c4d4dc613Viloria Silva, Amelec Jesus1c2baa89fc00b1a888a6e34ca484666eHernandez De Velazco, Judith Josefina84509fe1ffccaf9d02b31e9b8c952b05300Parody, Alexander894c64f1ed79bafc6b601d89880b0652Varela Izquierdo, Noel484160b66adc1de7303e235ec7894532Borrero Lopez, Luz Adriana90bb91c516af310bf4424ebb1bcd49b92018-11-23T15:57:43Z2018-11-23T15:57:43Z20180302-9743http://hdl.handle.net/11323/1746Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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. 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