2019
DOI: 10.1016/j.jvb.2019.103323
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Too good for your job? Disentangling the relationships between objective overqualification, perceived overqualification, and job dissatisfaction

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Cited by 56 publications
(58 citation statements)
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“…overqualification into objective versus subjective measures (Arvan et al, 2019). Objective measurement has been typically in studies of over education and compares levels of ability and preparation to the demands of the job (Arvan et al, 2019).…”
Section: Perceived Overqualification and Workers' Burnoutmentioning
confidence: 99%
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“…overqualification into objective versus subjective measures (Arvan et al, 2019). Objective measurement has been typically in studies of over education and compares levels of ability and preparation to the demands of the job (Arvan et al, 2019).…”
Section: Perceived Overqualification and Workers' Burnoutmentioning
confidence: 99%
“…overqualification into objective versus subjective measures (Arvan et al, 2019). Objective measurement has been typically in studies of over education and compares levels of ability and preparation to the demands of the job (Arvan et al, 2019). In contrast, subjective overqualification or perceived overqualification captures employees' perceptions that they possess surplus qualifications relative to the requirements of their job, i.e., it is the individuals' subjective experience of being overqualified for the present job (Erdogan et al, 2011;Lee et al, 2020).…”
Section: Perceived Overqualification and Workers' Burnoutmentioning
confidence: 99%
See 1 more Smart Citation
“…In a highly publicized court case, for example, a Connecticut police department was sued for rejecting an applicant for a job because he had scored too high on a cognitive ability test (New York Times, 1999). Subsequent research has failed to support the idea that having too much cognitive ability leads to greater voluntary turnover (Maltarich et al, 2010) and has found that objective overqualification has little impact on job satisfaction (Arvan et al, 2019) and can even lead to better performance (Hu et al, 2015).…”
Section: Potential Impact Of Popular Beliefs About Cognitive Abilitymentioning
confidence: 99%
“… Bandalos (2002) argued that the inclusion of all measurement items as observed indicators in the original model will result in parameter estimation bias, as the recommended parameters to sample size ratio will be exceeded. As the perceived overqualification scale has been used as a unidimensional scale in the literature, we followed the recommendations of Arvan et al (2019) and created 3-item parcels for each dimension of the scale: overeducation, excess knowledge, skills, and over experience. The score for each parcel was calculated by taking the average score of the three items assigned to it.…”
Section: Resultsmentioning
confidence: 99%