LC-IRT models with covariates in Polish job satisfaction analysis
Employment is at the heart of European Union (EU) policies as it is the basis for wealth creation. Knowing how satisfied EU residents are with their occupation is very important, since losing one’s job may undermine one’s life satisfaction and its overall meaning (European Commission 2015). Accordin...
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ftssoar:oai:gesis.izsoz.de:document/89033 2023-10-09T21:52:53+02:00 LC-IRT models with covariates in Polish job satisfaction analysis Genge, Ewa 2023-09-11T13:38:41Z https://www.ssoar.info/ssoar/handle/document/89033 http://nbn-resolving.org/urn:nbn:de:0168-ssoar-89033-5 https://doi.org/10.15611/aoe.2020.1.09 unknown POL 1233-5835 https://www.ssoar.info/ssoar/handle/document/89033 http://nbn-resolving.org/urn:nbn:de:0168-ssoar-89033-5 https://doi.org/10.15611/aoe.2020.1.09 Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 3.0 Creative Commons - Attribution-Noncommercial-No Derivative Works 3.0 Argumenta Oeconomica 44 1 207-226 Wirtschaft Economics ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 Berufsforschung Berufssoziologie Occupational Research Occupational Sociology Arbeitszufriedenheit Berufszufriedenheit Zufriedenheit Arbeiter Polen work satisfaction job satisfaction satisfaction worker Poland 20100 Zeitschriftenartikel journal article 2023 ftssoar https://doi.org/10.15611/aoe.2020.1.09 2023-09-17T23:06:17Z Employment is at the heart of European Union (EU) policies as it is the basis for wealth creation. Knowing how satisfied EU residents are with their occupation is very important, since losing one’s job may undermine one’s life satisfaction and its overall meaning (European Commission 2015). According to the most recent Eurostat data (European Commission 2017), Poland reported an average job satisfaction well above the EU mean, ranked 8th (behind Denmark, Iceland, Austria, Finland, Norway, Switzerland and Sweden). Thus, it is interesting to present an analysis focused on the job satisfaction of workers in Poland – a country of emigration, with the highest percentage of temporary contracts in Europe (European Commission 2016). The main aim of our study is understanding how the different socio-economic features affect the groups of workers with similar job satisfaction levels in Poland. Most of the Polish job satisfaction studies are focused on selected professional groups, in selected regions of Poland. This article presents another, the latent variable models approach to the hetero-geneous data set for different subgroups of workers in all the regions of Poland. The combination of the two latent variable models enables to find homogeneous classes of individuals characterized by the similar latent ability levels, and at the same time, the item characteristics analysis (usually identified as discrimination indices and difficulty parameters) as well. Latent Class Item Response Theory (LC-IRT) models are more flexible in compa-rison with traditional formulations of Item Response Theory (IRT) models, often based on restrictive assumptions, such as normality of latent trait (explicitly introduced). Moreover, the authors also apply the extended latent variable models under the discrete assumption of the latent trait including individual socio-demographic features, such as age, sex, education, marital status or current financial situation. The article analyzes data collected as part of the International Social Survey ... Article in Journal/Newspaper Iceland SSOAR - Social Science Open Access Repository Norway Argumenta Oeconomica 2019 1 207 226 |
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Open Polar |
collection |
SSOAR - Social Science Open Access Repository |
op_collection_id |
ftssoar |
language |
unknown |
topic |
Wirtschaft Economics ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 Berufsforschung Berufssoziologie Occupational Research Occupational Sociology Arbeitszufriedenheit Berufszufriedenheit Zufriedenheit Arbeiter Polen work satisfaction job satisfaction satisfaction worker Poland 20100 |
spellingShingle |
Wirtschaft Economics ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 Berufsforschung Berufssoziologie Occupational Research Occupational Sociology Arbeitszufriedenheit Berufszufriedenheit Zufriedenheit Arbeiter Polen work satisfaction job satisfaction satisfaction worker Poland 20100 Genge, Ewa LC-IRT models with covariates in Polish job satisfaction analysis |
topic_facet |
Wirtschaft Economics ZA6770: International Social Survey Programme: Work Orientations IV - ISSP 2015 Berufsforschung Berufssoziologie Occupational Research Occupational Sociology Arbeitszufriedenheit Berufszufriedenheit Zufriedenheit Arbeiter Polen work satisfaction job satisfaction satisfaction worker Poland 20100 |
description |
Employment is at the heart of European Union (EU) policies as it is the basis for wealth creation. Knowing how satisfied EU residents are with their occupation is very important, since losing one’s job may undermine one’s life satisfaction and its overall meaning (European Commission 2015). According to the most recent Eurostat data (European Commission 2017), Poland reported an average job satisfaction well above the EU mean, ranked 8th (behind Denmark, Iceland, Austria, Finland, Norway, Switzerland and Sweden). Thus, it is interesting to present an analysis focused on the job satisfaction of workers in Poland – a country of emigration, with the highest percentage of temporary contracts in Europe (European Commission 2016). The main aim of our study is understanding how the different socio-economic features affect the groups of workers with similar job satisfaction levels in Poland. Most of the Polish job satisfaction studies are focused on selected professional groups, in selected regions of Poland. This article presents another, the latent variable models approach to the hetero-geneous data set for different subgroups of workers in all the regions of Poland. The combination of the two latent variable models enables to find homogeneous classes of individuals characterized by the similar latent ability levels, and at the same time, the item characteristics analysis (usually identified as discrimination indices and difficulty parameters) as well. Latent Class Item Response Theory (LC-IRT) models are more flexible in compa-rison with traditional formulations of Item Response Theory (IRT) models, often based on restrictive assumptions, such as normality of latent trait (explicitly introduced). Moreover, the authors also apply the extended latent variable models under the discrete assumption of the latent trait including individual socio-demographic features, such as age, sex, education, marital status or current financial situation. The article analyzes data collected as part of the International Social Survey ... |
format |
Article in Journal/Newspaper |
author |
Genge, Ewa |
author_facet |
Genge, Ewa |
author_sort |
Genge, Ewa |
title |
LC-IRT models with covariates in Polish job satisfaction analysis |
title_short |
LC-IRT models with covariates in Polish job satisfaction analysis |
title_full |
LC-IRT models with covariates in Polish job satisfaction analysis |
title_fullStr |
LC-IRT models with covariates in Polish job satisfaction analysis |
title_full_unstemmed |
LC-IRT models with covariates in Polish job satisfaction analysis |
title_sort |
lc-irt models with covariates in polish job satisfaction analysis |
publisher |
POL |
publishDate |
2023 |
url |
https://www.ssoar.info/ssoar/handle/document/89033 http://nbn-resolving.org/urn:nbn:de:0168-ssoar-89033-5 https://doi.org/10.15611/aoe.2020.1.09 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Iceland |
genre_facet |
Iceland |
op_source |
Argumenta Oeconomica 44 1 207-226 |
op_relation |
1233-5835 https://www.ssoar.info/ssoar/handle/document/89033 http://nbn-resolving.org/urn:nbn:de:0168-ssoar-89033-5 https://doi.org/10.15611/aoe.2020.1.09 |
op_rights |
Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 3.0 Creative Commons - Attribution-Noncommercial-No Derivative Works 3.0 |
op_doi |
https://doi.org/10.15611/aoe.2020.1.09 |
container_title |
Argumenta Oeconomica |
container_volume |
2019 |
container_issue |
1 |
container_start_page |
207 |
op_container_end_page |
226 |
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1779316091723448320 |