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LC-IRT models with covariates in Polish job satisfaction analysis

Title: LC-IRT models with covariates in Polish job satisfaction analysis

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Description:

Argumenta Oeconomica, 2020, Nr 1 (44), s. 207-226

Abstrakt:

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 Programme 2015 using R software. The results may help policymakers tailor their employment policies as well as to create and deliver services focused on special socio-economic groups of the Polish society

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

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Date:

Resource Type:

Resource Identifier:

doi:10.15611/aoe.2020.1.09 ; oai:dbc.wroc.pl:75781

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Relation:

Argumenta Oeconomica

Rights:

Wszystkie prawa zastrzeżone (Copyright)

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Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND 3.0 PL

Location:

Uniwersytet Ekonomiczny we Wrocławiu

Group publication title:

Argumenta Oeconomica

Object collections:

Lower Silesian Digital Library > Participants of the Consortium > 04. Wroclaw University of Economics > Periodicals published by the University Publishing House > Argumenta Oeconomica

Lower Silesian Digital Library > Resources > 2. Czasopisma > Czasopisma współczesne

Last modified:

Jun 23, 2020

In our library since:

Jun 23, 2020

Number of object content hits:

37

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https://dbc.wroc.pl/publication/144333

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Argumenta Oeconomica

Edition name	Date
LC-IRT models with covariates in Polish job satisfaction analysis	Jun 23, 2020

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