Original Research

Measurement invariance of cognitive and affective job insecurity: A cross-national study

Gina Görgens-Ekermans, Valerio Ghezzi, Tahira M. Probst, Claudio Barbaranelli, Laura Petitta, Lixin Jiang, Sanman Hu
African Journal of Psychological Assessment | Vol 6 | a147 | DOI: https://doi.org/10.4102/ajopa.v6i0.147 | © 2024 Gina Görgens-Ekermans, Valerio Ghezzi, Tahira M. Probst, Claudio Barbaranelli, Laura Petitta, Lixin Jiang, Sanman Hu | This work is licensed under CC Attribution 4.0
Submitted: 01 August 2023 | Published: 25 April 2024

About the author(s)

Gina Görgens-Ekermans, Department of Industrial Psychology, Faculty of Economic and Management Sciences, Stellenbosch University, Cape Town, South Africa
Valerio Ghezzi, Department of Psychology, Sapienza University of Rome, Rome, Italy
Tahira M. Probst, Department of Psychology, College of Arts and Sciences, Washington State University, Vancouver, United States of America
Claudio Barbaranelli, Department of Psychology, Sapienza University of Rome, Rome, Italy
Laura Petitta, Department of Psychology, Sapienza University of Rome, Rome, Italy
Lixin Jiang, School of Psychology, University of Auckland, Auckland, New Zealand
Sanman Hu, School of Business, Huaqiao University, Quanzhou, China

Abstract

Empirical evidence of established measurement invariance of job insecurity measures may enhance the practical utility of job insecurity as a valid predictor when utilised over different cross-national samples. This study investigated the measurement invariance of the nine-item versions of the Job Security Index (a measure of cognitive job insecurity) and the Job Security Satisfaction Scale (a measure of affective job insecurity), across four countries (i.e. the United States, N = 486; China, N = 629; Italy, N = 482 and South Africa, N = 345). Based on a novel bifactor-(S-1) model approach we found evidence for partial metric, partial scalar and partial strict invariance of our substantive bifactor-(S-1) structure. The results extend measurement invariance research on job insecurity with obvious pragmatic implications (e.g. scaling units, measurement bias over cross-national interpretations).

Contribution: This research provides evidence to support the applied use of cross-national comparisons of job insecurity scores across the nationalities included in this study. Theoretically, this research advances the debate about the nature of the relationship between cognitive and affective job insecurity, suggesting that in this cross-national dataset, a model where cognitive job insecurity is specified as the reference domain outperforms a model where affective job insecurity is assigned this status. Practically, it demonstrates that it is sensible and necessary to differentiate between cognitive and affective job insecurity and include measures of both constructs in future research on the construct.


Keywords

bifactor-(S−1) model; cross-national comparison; cognitive job insecurity; affective job insecurity; measurement invariance.

Sustainable Development Goal

Goal 8: Decent work and economic growth

Metrics

Total abstract views: 234
Total article views: 281


Crossref Citations

No related citations found.