Literature DB >> 10751977

Scientific and social significance of assessing individual differences: "sinking shafts at a few critical points".

D Lubinski1.   

Abstract

This chapter reviews empirical findings on the importance of assessing individual differences in human behavior. Traditional dimensions of human abilities, personality, and vocational interests play critical roles in structuring a variety of important behaviors and outcomes (e.g. achieved socioeconomic status, educational choices, work performance, delinquency, health risk behaviors, and income). In the review of their importance, the construct of general intelligence is featured, but attributes that routinely add incremental validity to cognitive assessments are also discussed. Recent experimental and methodological advances for better understanding how these dimensions may contribute to other psychological frameworks are reviewed, as are ways for determining their scientific significance within domains where they are not routinely assessed. Finally, some noteworthy models are outlined that highlight the importance of assessing relatively distinct classes of individual-differences attributes simultaneously. For understanding fully complex human phenomena such as crime, eminence, and educational-vocational development, such a multifaceted approach is likely to be the most productive.

Entities:  

Mesh:

Year:  2000        PMID: 10751977     DOI: 10.1146/annurev.psych.51.1.405

Source DB:  PubMed          Journal:  Annu Rev Psychol        ISSN: 0066-4308            Impact factor:   24.137


  14 in total

1.  Delineating the structure of normal and abnormal personality: an integrative hierarchical approach.

Authors:  Kristian E Markon; Robert F Krueger; David Watson
Journal:  J Pers Soc Psychol       Date:  2005-01

2.  Do different types of school mathematics development depend on different constellations of numerical versus general cognitive abilities?

Authors:  Lynn S Fuchs; David C Geary; Donald L Compton; Douglas Fuchs; Carol L Hamlett; Pamela M Seethaler; Joan D Bryant; Christopher Schatschneider
Journal:  Dev Psychol       Date:  2010-11

Review 3.  Retest effects in working memory capacity tests: A meta-analysis.

Authors:  Jana Scharfen; Katrin Jansen; Heinz Holling
Journal:  Psychon Bull Rev       Date:  2018-12

4.  An evolutionary perspective on learning disability in mathematics.

Authors:  David C Geary
Journal:  Dev Neuropsychol       Date:  2007       Impact factor: 2.253

Review 5.  Accounting for individual differences in human associative learning.

Authors:  Nicola C Byrom
Journal:  Front Psychol       Date:  2013-09-04

6.  Women's representation in 60 occupations from 1972 to 2010: more women in high-status jobs, few women in things-oriented jobs.

Authors:  Richard A Lippa; Kathleen Preston; John Penner
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

7.  Sex differences in mathematics and reading achievement are inversely related: within- and across-nation assessment of 10 years of PISA data.

Authors:  Gijsbert Stoet; David C Geary
Journal:  PLoS One       Date:  2013-03-13       Impact factor: 3.240

8.  Beyond a bigger brain: Multivariable structural brain imaging and intelligence.

Authors:  Stuart J Ritchie; Tom Booth; Maria Del C Valdés Hernández; Janie Corley; Susana Muñoz Maniega; Alan J Gow; Natalie A Royle; Alison Pattie; Sherif Karama; John M Starr; Mark E Bastin; Joanna M Wardlaw; Ian J Deary
Journal:  Intelligence       Date:  2015 Jul-Aug

Review 9.  Evolutionary and differential psychology: conceptual conflicts and the path to integration.

Authors:  Tim Marsh; Simon Boag
Journal:  Front Psychol       Date:  2013-09-23

10.  All STEM fields are not created equal: People and things interests explain gender disparities across STEM fields.

Authors:  Rong Su; James Rounds
Journal:  Front Psychol       Date:  2015-02-25
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