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2020 | nr 1 (44) | 207--226
Tytuł artykułu

LC-IRT Models with Covariates in Polish Job Satisfaction Analysis

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
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.(original abstract)
Rocznik
Numer
Strony
207--226
Opis fizyczny
Twórcy
autor
  • University of Economics in Katowice, Poland
Bibliografia
  • Akaike, H., A new look at statistical model identification, "IEEE Transactions on Automatic Control", 19, pp. 716-723, 1974.
  • Andrich, D., A rating formulation for ordered response categories, "Psychometrika", 43, pp. 561-573, 1978.
  • Babakus, E., Yavas, U., Karatepe, O. M., Avci, T., The Effect of Management Commitment to Service Quality on Employees' Affective and Performance Outcomes, "Journal of The Academy of Marketing Science", 31 (3), pp. 272-286, doi: 10.1177/0092070303253525, 2003.
  • Bacci, S., Bartolucci, F., Gnaldi, M., A class of Multidimensional Latent Class IRT models for ordinal polytomous item responses, "Communication in Statistics - Theory and Methods", 43, pp. 787-800, 2014.
  • Bartolucci, F., A class of multidimensional IRT models for testing unidimensionality and clustering items, "Psychometrika", 72, pp. 141-157, 2007.
  • Bartolucci, F., Bacci, S., Gnaldi, M., MultiLCIRT: An R package for multidimensional latent class item response models, "Computational Statistics and Data Analysis", 71, pp. 971-985, 2014.
  • Bartolucci, F., Baschina, A., Giovanni., S. F., Demidova B. O., Signorelli M., Determinants of Job Satisfaction in Young Russian Workers, Discussion Papers 7, 2015, CRISEI, University of Naples "Parthenope", Italy, 2015.
  • Bartolucci, F., Bacci, S., Gnaldi, M., MultiLCIRT: Multidimensional latent class Item Response Theory models. R package version 2.10, URL http://CRAN.R-project.org/package= MultiLCIRT, 2016a.
  • Bartolucci, F., Bacci, S., Gnaldi, M., Statistical Analysis of Questionnaires. A Unified Approach Based on R and Stata. Boca Raton: Chapman & Hall/CRC, 2016b.
  • Birnbaum, A., Some latent trait models and their use in inferring an examinee's ability [in:] Lord, M. F., Novick, R. M. (eds.), Statistical Theories of Mental Test Scores, pp. 395-479. MA: Addison-Wesley, Reading, 1968.
  • Brayer, A., Foley, M., Doroszkiewicz, H., Jamiokowski, J., Marcinowicz, L., Job satisfaction among masters in nursing in Central and East Poland: a preliminary study, "Family Medicine & Primary Care Review", 1, pp. 7-11, 2017.
  • Brayfield, A. H., Rothe H. F., An index of job satisfaction, "Journal of Applied Psychology", 35, pp. 307-311. doi: 10.1037/h0055617, 1951.
  • Bruck, C.S., Allen, T.D., Spector, P.E., The relation between work-family conflict and job sa-tisfaction: A finer-grained analysis, "Journal of Vocational Behavior", 60, 336-353. doi: 10.1006/jvbe.2001.1836, 2002.
  • Bruno, G. S. F., Caroleo F. E., Dessy O., Stepping stones versus dead end jobs: Exits from temporary contracts in Italy after the 2003 reform, "Rivista Internazionale per le Scienze Sociali", 1, pp. 31-62, 2013.
  • Butlewski, M., Tytyk, E., The method of matching ergonomic nonpowered hand tools to maintenance tasks for the handicapped [in:] Karwowski, W., Salvendy, G. (eds), (CD ROM) 2nd International Conference on Applied Human Factors and Ergonomics, Las Vegas, Nevada, USA. Conference Proceedings, 2008.
  • Eliyana, A., Yusuf, R. M., Prabowo, K., The Influence of Employee's Job Satisfaction Factors on Organizational Commitment, "American Journal of Economics", Special Issue, pp. 141-144. doi: 10.5923/j.economics.20120001.31, 2012.
  • European Commission (2015). Eurostat - Quality of Life in Europe - Facts and Views - Employment. http://ec.europa.eu/eurostat/statistics-explained/index.php/Quality_of_life_ in_Europe_-_facts_and_views_-_employment
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171597085

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