Related Experiment Video
Updated: Jan 21, 2026

Resolving Affinity Purified Protein Complexes by Blue Native PAGE and Protein Correlation Profiling
Published on: April 1, 2017
All Insecure, All Good? Job Insecurity Profiles in Relation to Career Correlates
Nele De Cuyper1, Anahí Van Hootegem2, Kelly Smet2
1Research Group for Work, Organization and Personnel Psychology, KU Leuven, 3000 Leuven, Belgium. nele.decuyper@kuleuven.be.
Abstract:
Felt job insecurity is commonly seen as a stressor that is tied to a specific segment of employees and which implies overall negative outcomes. We challenge this view based on the new career rhetoric that assumes that felt job insecurity is widespread, although not necessarily problematic; rather, on the contrary, that felt job insecurity may promote career growth and development. Accordingly, our first aim concerns the distribution of felt quantitative and qualitative job insecurity, and our second aims concerns the connection between profiles and career correlates (i.e., perceived employability, individual and organizational career management). We used two samples of Belgian employees (N1 = 2355; N2 = 3703) in view of constructive replication. We used Latent Profile Analysis to compile profiles of felt quantitative and qualitative job insecurity and linked those profiles to career outcomes. Our results are similar across samples: five profiles were found, from relatively secure to relatively insecure (aim 1). The more secure profiles reported more favorable career outcomes than the less secure profiles (aim 2). This provided overall support for the common view. We connect these findings to what we see as the main risk, namely the potentially growing divide based on felt job insecurity and the relatively large group of employees in insecure profiles.
Related Concept Videos
Correlations
Correlation and Causation
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Relative Risk
Correlation and Regression
Coefficient of Correlation
If you suspect a linear relationship between x and y, then r can measure how strong the linear relationship is.
What the VALUE of r tells us:
The value of r is always between –1 and +1: –1 ≤ r ≤ 1.
The size of the correlation r indicates the...

