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210512 ||| eng |
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|a 9783039211678
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|a 9783039211685
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|a books978-3-03921-168-5
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1 |
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|a Lang, Jonas
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| 245 |
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0 |
|a The Great Debate: General Ability and Specific Abilities in the Prediction of Important Outcomes
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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| 300 |
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|a 1 electronic resource (108 p.)
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| 653 |
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|a cognitive tests
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| 653 |
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|a machine learning
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| 653 |
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|a ability tilt
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| 653 |
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|a identification
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| 653 |
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|a subscores
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| 653 |
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|a second stratum abilities
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| 653 |
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|a general abilities
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| 653 |
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|a bifactor(S-1) model
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| 653 |
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|a situational specificity
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| 653 |
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|a relative importance
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| 653 |
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|a nested-factors model
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| 653 |
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|a health
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| 653 |
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|a occupational attainment
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| 653 |
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|a relative importance analysis
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| 653 |
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|a Psychology / bicssc
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| 653 |
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|a narrow abilities
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| 653 |
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|a non-g factors
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| 653 |
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|a hierarchical factor model
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| 653 |
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|a general intelligence (g)
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| 653 |
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|a cognitive abilities
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| 653 |
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|a school grades
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| 653 |
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|a predictor-criterion bandwidth alignment
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| 653 |
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|a higher-order factor model
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| 653 |
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|a specific abilities
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| 653 |
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|a general mental ability
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| 653 |
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|a scholastic performance
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| 653 |
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|a specific cognitive abilities
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| 653 |
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|a general cognitive ability
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| 653 |
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|a ability differentiation
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| 653 |
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|a academic performance
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| 653 |
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|a g-factor
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| 653 |
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|a academic achievement
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| 653 |
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|a curvilinear relations
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| 653 |
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|a bifactor model
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| 653 |
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|a specific factors
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| 653 |
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|a intelligence
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| 653 |
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|a non-g residuals
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| 653 |
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|a nested-factor models
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| 653 |
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|a job performance
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| 653 |
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|a specific ability
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| 653 |
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|a longevity
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| 653 |
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|a general factor
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| 653 |
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|a educational attainment
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| 700 |
1 |
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|a Kell, Harrison J.
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
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|a 10.3390/books978-3-03921-168-5
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/48877
|z DOAB: description of the publication
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/1446
|7 0
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 610
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|a 100
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|a 370
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|a There are many different theories of intelligence. Although these theories differ in their nuances, nearly all agree that there are multiple cognitive abilities and that they differ in the breadth of content they are typically associated with. There is much less agreement about the relative importance of cognitive abilities of differing generality for predicting important real-world outcomes, such as educational achievement, career success, job performance, and health. Some investigators believe that narrower abilities hold little predictive power once general abilities have been accounted for. Other investigators contend that specific abilities are often as-or even more-effective in forecasting many practical variables as general abilities. These disagreements often turn on differences of theory and methodology that are both subtle and complex. The five cutting-edge contributions in this volume, both empirical and theoretical, advance the conversation in this vigorous, and highly important, scientific debate.
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