Validation and measurement invariance of the multidimensional qualitative job insecurity scale
This contribution introduces the Multidimensional Qualitative Job Insecurity Scale (MQJIS). Drawing from the qualitative job insecurity literature and addressing some of other scales’ limitations, a multidimensional model is proposed and investigated by means of confirmatory factor analysis and mult...
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| Veröffentlicht in: | Quality & quantity 2020-06, Vol.54 (3), p.925-942 |
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| creator | Brondino, Margherita Bazzoli, Andrea Vander Elst, Tinne De Witte, Hans Pasini, Margherita |
| description | This contribution introduces the Multidimensional Qualitative Job Insecurity Scale (MQJIS). Drawing from the qualitative job insecurity literature and addressing some of other scales’ limitations, a multidimensional model is proposed and investigated by means of confirmatory factor analysis and multilevel confirmatory factor analysis. Study 1 aims to explore the psychometric properties and factorial structure of MQJIS in an Italian sample of blue-collar workers (N = 583), showing that a model with one higher-order factor (i.e., qualitative job insecurity) and four dimensions (i.e., social relationships, employment conditions, working conditions, and work content) shows a good fit to the data and good reliability indices. Study 2 aims to investigate MQJIS measurement invariance across several groups, based on country of origin, age, and gender. Results on a sample of Belgian and Italian workers (N = 710) show that MQJIS met the criteria for uniqueness invariance across genders and scalar invariance across countries and age groups. Significance, implications, and future directions stemming from the initial validation and the confirmed measurement invariance of this scale are discussed. |
| doi_str_mv | 10.1007/s11135-020-00966-y |
| format | Article |
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Drawing from the qualitative job insecurity literature and addressing some of other scales’ limitations, a multidimensional model is proposed and investigated by means of confirmatory factor analysis and multilevel confirmatory factor analysis. Study 1 aims to explore the psychometric properties and factorial structure of MQJIS in an Italian sample of blue-collar workers (N = 583), showing that a model with one higher-order factor (i.e., qualitative job insecurity) and four dimensions (i.e., social relationships, employment conditions, working conditions, and work content) shows a good fit to the data and good reliability indices. Study 2 aims to investigate MQJIS measurement invariance across several groups, based on country of origin, age, and gender. Results on a sample of Belgian and Italian workers (N = 710) show that MQJIS met the criteria for uniqueness invariance across genders and scalar invariance across countries and age groups. Significance, implications, and future directions stemming from the initial validation and the confirmed measurement invariance of this scale are discussed.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11135-020-00966-y</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-8709-2371</orcidid><orcidid>https://orcid.org/0000-0002-6691-517X</orcidid><orcidid>https://orcid.org/0000-0001-6975-540X</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Age differences Age groups Blue collar workers Confirmatory factor analysis Country of origin Discriminant analysis Employment Factor structure Job insecurity Job security Measurement Measures Methodology of the Social Sciences Quantitative psychology Reliability Social relations Social Sciences Uniqueness Validity Working conditions |
| title | Validation and measurement invariance of the multidimensional qualitative job insecurity scale |
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