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Working memory and fluid intelligence as predictors of work engagement—Testing preliminary models
Author(s) -
Kulikowski Konrad,
Orzechowski Jarosław
Publication year - 2018
Publication title -
applied cognitive psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.719
H-Index - 100
eISSN - 1099-0720
pISSN - 0888-4080
DOI - 10.1002/acp.3500
Subject(s) - work engagement , psychology , bootstrapping (finance) , structural equation modeling , working memory , fluid intelligence , work (physics) , social psychology , fluid and crystallized intelligence , cognition , job performance , applied psychology , job analysis , econometrics , computer science , job satisfaction , mechanical engineering , neuroscience , engineering , machine learning , economics
Summary This study aimed to investigate the relationships between working memory capacity, fluid intelligence (Gf), and work engagement within the framework of the job demands–resources theory. Multioccupational employees ( N = 175 in Study 1 and N = 383 in Study 2) completed sets of Gf, complex span, and n ‐back tests, along with job resources and work engagement surveys. Structural equation modeling with latent variables and bootstrapping procedures revealed that complex span was indirectly positively related to work engagement via job resources, and n ‐back was indirectly positively related to work engagement via job complexity. Moreover, the one common factor g composed of Gf, n ‐back, and complex span was positively indirectly related to work engagement via job resources and job complexity. These results highlight that the cognitive capacities of employees should be given greater consideration as cognitive personal resources in models aimed at accounting for employee work engagement.