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...
- 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
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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 |
dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/EC |
dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
format |
http://purl.org/coar/resource_type/c_f744 |
status_str |
acceptedVersion |
dc.identifier.issn.spa.fl_str_mv |
0302-9743 |
dc.identifier.uri.spa.fl_str_mv |
https://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 |
https://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 |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
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 |
bitstream.url.fl_str_mv |
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repdigital@cuc.edu.co |
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1811760771743350784 |
spelling |
Bucci, NunziatinaLuna, MarisabelViloria Silva, Amelec JesusHernandez De Velazco, Judith JosefinaParody, AlexanderVarela Izquierdo, NoelBorrero Lopez, Luz Adriana2018-11-23T15:57:43Z2018-11-23T15:57:43Z20180302-9743https://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. The external variables found are: education, health care services, housing conditions, means of transport, living conditions.Bucci, Nunziatina-65c34bfd-fecc-4e43-87f2-57fa12e80d3a-0Luna, Marisabel-0283f9e2-cd41-4fa8-9888-0ecf85d98e46-0Viloria Silva, Amelec Jesus-0000-0003-2673-6350-600Hernandez De Velazco, Judith Josefina-475451c9-4a58-4c6f-936e-0d2d003ff7af-0Parody, Alexander-d4c60c43-64a2-466b-8114-ad27a6900a33-0Varela Izquierdo, Noel-0000-0001-7036-4414-600Borrero Lopez, Luz Adriana-6561f81e-5b0e-46b2-937c-dbadcc8f8e68-0engLecture Notes in Computer ScienceAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2External factorsFactor analysisKDDPrincipal component analysisPsychosocial risk assessment instrumentReduction of dimensionalityFactor analysis of the psychosocial risk assessment instrumentDocumento de Conferenciahttp://purl.org/coar/resource_type/c_f744http://purl.org/coar/resource_type/c_c94fTextinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/redcol/resource_type/ECinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALFactor analysis of the psychosocial risk assessment instrument.pdfFactor analysis of the psychosocial risk assessment instrument.pdfapplication/pdf179241https://repositorio.cuc.edu.co/bitstreams/2053f6f3-a7ee-4388-9b6a-cb80a7e93b3a/download331adaaf15810612b56ba43787938436MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/05bb440c-08d0-4237-a18e-8067e93fd863/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILFactor analysis of the psychosocial risk assessment instrument.pdf.jpgFactor analysis of the psychosocial risk assessment instrument.pdf.jpgimage/jpeg39265https://repositorio.cuc.edu.co/bitstreams/38ab30f5-9f83-4c29-b1b4-3a7bb1a6ec31/download6429ff2b198a10ef41967566a57deb0eMD54TEXTFactor analysis of the psychosocial risk assessment instrument.pdf.txtFactor analysis of the psychosocial risk assessment instrument.pdf.txttext/plain1463https://repositorio.cuc.edu.co/bitstreams/f1563a53-94e7-43f4-af50-bfad0dc4174d/download186e44bb403795147202bb5202169d4dMD5511323/1746oai:repositorio.cuc.edu.co:11323/17462024-09-17 11:04:48.296open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |