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Predicting Job Satisfaction through individual Cognitive Ability and Job Autonomy

Authors: Roberto Dopeso-Fernández; Giovanni Giusti; Aleksander Kucel;

Predicting Job Satisfaction through individual Cognitive Ability and Job Autonomy

Abstract

This paper analyzes the effects of cognitive ability on job satisfaction. Using PIAAC data we explore whether job satisfaction predictors observed in the literature change their behavior once we control for cognitive ability, proxied by an explicit test of individual numeracy level. We show that both, learning at work and job autonomy affect differently the job satisfaction for workers interacting with their level of cognitive ability measured. While learning increases job satisfaction for highly cognitive-able workers, task discretion (a measure of job autonomy) is particularly well valued by lower cognitive-able workers.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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