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Wages, mental abilities and assessments in large scale international surveys: Still not much more than g

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  • Ganzach, Yoav
  • Patel, Pankaj C.

Abstract

We examine the role of General Mental Ability (GMA or g), versus specific abilities, in predicting wages among 69,901 participants from 19 countries in the Programme for International Assessment of Adult Competencies (PIAAC). We define GMA as the first principal component in a battery of three ability tests, and specific abilities as the low order components. Our initial results – a difference of 52%, between a g only model and a g + specific abilities model (R2s of 0.061 and 0.093, respectively) – is considerably different from earlier results suggesting that "there is not much more than g" in predicting performance. However, further analyses show that this difference is reduced to 0.5% when crucial non-cognitive individual differences (age and sex) are controlled for (R2s of 0.0763 and 0.0767, respectively). Path models of the relationships between individual differences, specific abilities, GMA and wage shed light on these results. Implications for the understanding of the relationship between mental abilities and wage, and to the understanding of cognitive test scores as representing various skills versus general ability, are discussed.

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  • Ganzach, Yoav & Patel, Pankaj C., 2018. "Wages, mental abilities and assessments in large scale international surveys: Still not much more than g," Intelligence, Elsevier, vol. 69(C), pages 1-7.
    • Handle: RePEc:eee:intell:v:69:y:2018:i:c:p:1-7
    DOI: 10.1016/j.intell.2018.03.014
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    References listed on IDEAS

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    1. Thomas Lemieux & W. Bentley MacLeod & Daniel Parent, 2009. "Performance Pay and Wage Inequality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(1), pages 1-49.
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    Cited by:

    1. Zisman, Chen & Ganzach, Yoav, 2022. "The claim that personality is more important than intelligence in predicting important life outcomes has been greatly exaggerated," Intelligence, Elsevier, vol. 92(C).
    2. Chyul-Young Jyung & Yoowoo Lee & Sunyoung Park & Eunhye Cho & Romi Choi, 2020. "Factors Affecting Employees’ Problem-Solving Skills in Technology-Rich Environments in Japan and Korea," Sustainability, MDPI, vol. 12(17), pages 1-16, August.

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