Validation and measurement invariance of the multidimensional qualitative job insecurity scale

Margherita Brondino, Andrea Bazzoli (), Tinne Vander Elst, Hans De Witte and Margherita Pasini
Additional contact information
Margherita Brondino: University of Verona
Andrea Bazzoli: Washington State University Vancouver
Tinne Vander Elst: External Service for Prevention and Protection at Work
Hans De Witte: KU Leuven
Margherita Pasini: University of Verona

Quality & Quantity: International Journal of Methodology, 2020, vol. 54, issue 3, No 10, 925-942

Abstract: Abstract 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.

Keywords: Qualitative job insecurity; Multidimensional scale; Measurement invariance; Validation (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (7)

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DOI: 10.1007/s11135-020-00966-y

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