Skip to main content
Have a personal or library account? Click to login
How Can a Job Insecurity Climate Emerge in an Organization and Associates with Organizational Antecedents? Cover

How Can a Job Insecurity Climate Emerge in an Organization and Associates with Organizational Antecedents?

Open Access
|Nov 2025

Figures & Tables

Table 1

Multi-group confirmatory factor analysis: Job insecurity, organizational resilience, communication, and rumors.

χ2dfp-VALUEχ2/dfNFIIFICFIRMRRMSEA
MCFA: Job insecurity12.1540.013.030.990.990.990.0120.040
MCFA: Organizational resilience384.21680.005.650.900.910.910.0450.060
MCFA: Communication105.5540.0026.380.970.970.970.0260.139
MCFA: Rumors183.32180.0010.180.950.960.960.0690.084
Table 2

Invariance measurement.

Δχ2Δdfp-VALUEΔCFIΔMc NCIΔRMSEA
Job insecurity: Metric invariance30.1330.000.000.010.02
Job insecurity: Scalar invariance115.78100.000.030.020.03
Job insecurity: Partial scalar invariance69.4290.000.010.000.01
Organizational resilience: Metric variance73.6690.000.010.020.00
Organizational resilience: Scalar variance190.6890.000.050.050.01
Organizational resilience: Partial scalar variance32.1850.000.010.000.00
Communication: Metric invariance6.1230.100.000.000.02
Communication: Scalar invariance20.4930.000.000.000.01
Rumors: Metric invariance49.3050.000.020.010.00
Rumors: Scalar invariance72.4850.000.010.020.01
Table 3

Descriptive statistics (means and standard deviations) and correlations.

MEANSD12345678
1. Country (dummy)
2. Organizational size1110.6334.42–0.07
3. Job Insecurity Climate2.030.650.41**0.10
4. Organization type (dummy)0.130.030.23**
5. % temporary workers19.6697.820.120.22*0.27**0.09
6. Organizational resilience3.510.35–0.18*0.00–0.32**0.04–0.24**
7. Communication3.720.59–0.05–0.12–0.52**–0.08–0.32**0.55**
8. Rumours2.420.850.31**0.060.64**–0.21*0.26**–0.36**–0.54**

[i] Note. Note: n = 141 organizations. * p < .05; ** p < .01. Organization type and Country are dummy variables (0 = public, 1 = private; 0 = Austria, 1 = Spain).

Table 4

Summary of hierarchical regression analyses: Predictors of job insecurity climate.

ESTIMATESE95% CIPR2ΔR2
LLUL
Step 10.0790.079
Organizational size0.0680.0000.0000.0000.462
Retail sector0.1610.375–0.5270.9600.565
Education sector0.0690.378–0.6510.8460.797
Construction sector0.3530.383–0.2041.3140.150
Health sector0.0600.389–0.6680.8730.792
Step 20.1200.041
Organization type0.275*0.1830.0520.7760.025
Step 30.1890.069
% Temporary workers in the organization0.273**0.0010.0010.0030.003
Step 40.2520.063
Organizational resilience–0.267**0.163–0.817–0.01690.003
Step 50.3450.093
Communication–.385**0.106–0.622–0.2030.001
Step 60.6170.271
Rumours0.659***0.0560.3770.6010.001
Step 70.6440.027
Country0.194**0.0950.0790.4550.006

[i] Note. n = 141 organizations. * p < 0.05; ** p < 0.01. *** p < 0.001. Estimate refers to unstandardized coefficients. Organization type, Labour sector and Country are dummy variables (0 = public, 1 = private; 0 = Austria, 1 = Spain).

DOI: https://doi.org/10.16993/sjwop.296 | Journal eISSN: 2002-2867
Language: English
Page range: 17 - 17
Submitted on: Mar 12, 2024
Accepted on: Jul 16, 2025
Published on: Nov 17, 2025
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2025 Ornela Taulla, Beatriz Sora, Thomas Höge, Saija Mauno, Joan Boada, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.