%0 Journal Article %1 ganzach2018wages %A Ganzach, Yoav %A Patel, Pankaj C. %D 2018 %J Intelligence %K 2018 FDZ_PIAAC PIAAC PIAAC_input2018 Volltext_nein article jak unchecked wos %P 1-7 %R 10.1016/j.intell.2018.03.014 %T Wages, mental abilities and assessments in large scale international surveys: Still not much more than g %U https://doi.org/10.1016/j.intell.2018.03.014 %V 69 %X 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.

@article{ganzach2018wages, 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.}, added-at = {2019-01-31T17:14:42.000+0100}, author = {Ganzach, Yoav and Patel, Pankaj C.}, biburl = {https://www.bibsonomy.org/bibtex/27ac5c68598810dcf4d659ef339f00490/fodabib}, doi = {10.1016/j.intell.2018.03.014}, interhash = {1dd46bbe272768630167aaf4c1ad6ab1}, intrahash = {7ac5c68598810dcf4d659ef339f00490}, journal = {Intelligence}, keywords = {2018 FDZ_PIAAC PIAAC PIAAC_input2018 Volltext_nein article jak unchecked wos}, note = {https://doi.org/10.1016/j.intell.2018.03.014. (PIAAC)}, pages = {1-7}, timestamp = {2019-01-31T17:14:42.000+0100}, title = {Wages, mental abilities and assessments in large scale international surveys: Still not much more than g}, url = {https://doi.org/10.1016/j.intell.2018.03.014}, volume = 69, year = 2018 }