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Malanchini M, Allegrini AG, Nivard MG, Biroli P, Rimfeld K, Cheesman R, von Stumm S, Demange PA, van Bergen E, Grotzinger AD, Raffington L, De la Fuente J, Pingault JB, Tucker-Drob EM, Harden KP, Plomin R. Genetic associations between non-cognitive skills and academic achievement over development. Nat Hum Behav 2024; 8:2034-2046. [PMID: 39187715 PMCID: PMC11493678 DOI: 10.1038/s41562-024-01967-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/23/2024] [Indexed: 08/28/2024]
Abstract
Non-cognitive skills, such as motivation and self-regulation, are partly heritable and predict academic achievement beyond cognitive skills. However, how the relationship between non-cognitive skills and academic achievement changes over development is unclear. The current study examined how cognitive and non-cognitive skills are associated with academic achievement from ages 7 to 16 years in a sample of over 10,000 children from England and Wales. The results showed that the association between non-cognitive skills and academic achievement increased across development. Twin and polygenic scores analyses found that the links between non-cognitive genetics and academic achievement became stronger over the school years. The results from within-family analyses indicated that non-cognitive genetic effects on academic achievement could not simply be attributed to confounding by environmental differences between nuclear families, consistent with a possible role for evocative/active gene-environment correlations. By studying genetic associations through a developmental lens, we provide further insights into the role of non-cognitive skills in academic development.
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Affiliation(s)
- Margherita Malanchini
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
- Department of Clinical, Educational and Health Psychology, University College London, London, UK.
| | - Michel G Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pietro Biroli
- Department of Economics, Universita' di Bologna, Bologna, Italy
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Royal Holloway University of London, London, UK
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Perline A Demange
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Mental Health, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Andrew D Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Laurel Raffington
- Max Planck Research Group Biosocial-Biology, Social Disparities and Development, Max Planck Institute for Human Development, Berlin, Germany
| | - Javier De la Fuente
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Jean-Baptiste Pingault
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | | | - K Paige Harden
- Department of Psychology, The University of Texas at Austin, Austin, TX, USA
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
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King RB, Wang F, Leung SO, Elliot A. Socio-economic status, mastery-approach goals and learning-related outcomes: Mediation and moderation. BRITISH JOURNAL OF EDUCATIONAL PSYCHOLOGY 2024; 94:499-517. [PMID: 38243129 DOI: 10.1111/bjep.12660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 07/28/2023] [Accepted: 11/30/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND Socio-economic status is one of the most important factors shaping students' motivation and achievement but has seldom been explored in relation to achievement goals. AIMS This study aimed to investigate whether mastery-approach goals explain the link between SES and key learning-related outcomes (mediation) and whether SES modifies the relationship between mastery-approach goals and these outcomes (moderation). SAMPLE Data came from 595,444 students nested in 21,322 schools across 77 countries. METHODS Data were analysed using multilevel-moderated mediation analyses. RESULTS We found significant mediation and moderation. In terms of mediation, mastery-approach goals mediated the association between family SES and learning-related outcomes. However, a different pattern emerged for school SES, as students in higher SES schools had lower mastery-approach goals. In terms of moderation, we found that family SES strengthened the association between mastery-approach goals and learning-related outcomes. However, the association between mastery-approach goals and learning-related outcomes was weaker in higher SES schools. CONCLUSION Theoretical and practical implications for the achievement goal approach to achievement motivation are discussed.
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Affiliation(s)
- Ronnel B King
- Department of Curriculum and Instruction, The Chinese University of Hong Kong, Hong Kong, China
| | - Faming Wang
- Teaching and Learning Innovation Centre, The University of Hong Kong, Hong Kong, China
| | | | - Andrew Elliot
- Department of Psychology, University of Rochester, Rochester, New York, USA
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Malanchini M, Allegrini AG, Nivard MG, Biroli P, Rimfeld K, Cheesman R, von Stumm S, Demange PA, van Bergen E, Grotzinger AD, Raffington L, De la Fuente J, Pingault JB, Harden KP, Tucker-Drob EM, Plomin R. Genetic contributions of noncognitive skills to academic development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.03.535380. [PMID: 37066409 PMCID: PMC10103958 DOI: 10.1101/2023.04.03.535380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Noncognitive skills such as motivation and self-regulation, are partly heritable and predict academic achievement beyond cognitive skills. However, how the relationship between noncognitive skills and academic achievement changes over development is unclear. The current study examined how cognitive and noncognitive skills contribute to academic achievement from ages 7 to 16 in a sample of over 10,000 children from England and Wales. Noncognitive skills were increasingly predictive of academic achievement across development. Twin and polygenic scores analyses found that the contribution of noncognitive genetics to academic achievement became stronger over the school years. Results from within-family analyses indicated that associations with noncognitive genetics could not simply be attributed to confounding by environmental differences between nuclear families and are consistent with a possible role for evocative/active gene-environment correlations. By studying genetic effects through a developmental lens, we provide novel insights into the role of noncognitive skills in academic development.
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Affiliation(s)
- Margherita Malanchini
- School of Biological and Behavioural Sciences, Queen Mary University of London, United Kingdom
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
| | - Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
- Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
| | - Michel G. Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pietro Biroli
- Department of Economics, Universita’ di Bologna, Bologna, Italy
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
- Royal Holloway University of London, United Kingdom
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Perline A. Demange
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Andrew D. Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, United States
| | - Laurel Raffington
- Max Planck Research Group Biosocial – Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany
| | | | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
| | - K. Paige Harden
- Department of Psychology, The University of Texas at Austin, United States
| | | | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
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Malanchini M, Allegrini AG, Nivard MG, Biroli P, Rimfeld K, Cheesman R, von Stumm S, Demange PA, van Bergen E, Grotzinger AD, Raffington L, De la Fuente J, Pingault JB, Harden KP, Tucker-Drob EM, Plomin R. Genetic contributions of noncognitive skills to academic development. RESEARCH SQUARE 2023:rs.3.rs-2775994. [PMID: 37066329 PMCID: PMC10104246 DOI: 10.21203/rs.3.rs-2775994/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Noncognitive skills such as motivation and self-regulation, predict academic achievement beyond cognitive skills. However, the role of genetic and environmental factors and of their interplay in these developmental associations remains unclear. We provide a comprehensive account of how cognitive and noncognitive skills contribute to academic achievement from ages 7 to 16 in a sample of >10,000 children from England and Wales. Results indicated that noncognitive skills become increasingly predictive of academic achievement across development. Triangulating genetic methods, including twin analyses and polygenic scores (PGS), we found that the contribution of noncognitive genetics to academic achievement becomes stronger over development. The PGS for noncognitive skills predicted academic achievement developmentally, with prediction nearly doubling by age 16, pointing to gene-environment correlation (rGE). Within-family analyses indicated both passive and active/evocative rGE processes driven by noncognitive genetics. By studying genetic effects through a developmental lens, we provide novel insights into the role of noncognitive skills in academic development.
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Affiliation(s)
- Margherita Malanchini
- School of Biological and Behavioural Sciences, Queen Mary University of London, United Kingdom
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
| | - Andrea G. Allegrini
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
- Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
| | - Michel G. Nivard
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Pietro Biroli
- Department of Economics, Universita’ di Bologna, Bologna, Italy
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
- Royal Holloway University of London, United Kingdom
| | - Rosa Cheesman
- PROMENTA Research Center, Department of Psychology, University of Oslo, Oslo, Norway
| | | | - Perline A. Demange
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Elsje van Bergen
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Research Institute LEARN!, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
- Amsterdam Public Health Research Institute, Mental Health, Amsterdam, the Netherlands
| | - Andrew D. Grotzinger
- Institute for Behavioral Genetics, University of Colorado Boulder, United States
| | - Laurel Raffington
- Max Planck Research Group Biosocial – Biology, Social Disparities, and Development; Max Planck Institute for Human Development, Berlin, Germany
| | | | - Jean-Baptiste Pingault
- Department of Clinical, Educational and Health Psychology, University College London, United Kingdom
| | - K. Paige Harden
- Department of Psychology, The University of Texas at Austin, United States
| | | | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, King’s College London, United Kingdom
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King RB. Sociocultural and ecological perspectives on achievement motivation. ASIAN JOURNAL OF SOCIAL PSYCHOLOGY 2021. [DOI: 10.1111/ajsp.12507] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
- Ronnel B. King
- Centre for the Enhancement of Teaching and Learning Faculty of Education The University of Hong Kong Hong Kong SAR China
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Li X, Han M, Cohen GL, Markus HR. Passion matters but not equally everywhere: Predicting achievement from interest, enjoyment, and efficacy in 59 societies. Proc Natl Acad Sci U S A 2021; 118:e2016964118. [PMID: 33712544 PMCID: PMC7980419 DOI: 10.1073/pnas.2016964118] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
How to identify the students and employees most likely to achieve is a challenge in every field. American academic and lay theories alike highlight the importance of passion for strong achievement. Based on a Western independent model of motivation, passionate individuals-those who have a strong interest, demonstrate deep enjoyment, and express confidence in what they are doing-are considered future achievers. Those with less passion are thought to have less potential and are often passed over for admission or employment. As academic institutions and corporations in the increasingly multicultural world seek to acquire talent from across the globe, can they assume that passion is an equally strong predictor of achievement across cultural contexts? We address this question with three representative samples totaling 1.2 million students in 59 societies and provide empirical evidence of a systematic, cross-cultural variation in the importance of passion in predicting achievement. In individualistic societies where independent models of motivation are prevalent, relative to collectivistic societies where interdependent models of motivation are more common, passion predicts a larger gain (0.32 vs. 0.21 SD) and explains more variance in achievement (37% vs. 16%). In contrast, in collectivistic societies, parental support predicts achievement over and above passion. These findings suggest that in addition to passion, achievement may be fueled by striving to realize connectedness and meet family expectations. Findings highlight the risk of overweighting passion in admission and employment decisions and the need to understand and develop measures for the multiple sources and forms of motivation that support achievement.
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Affiliation(s)
- Xingyu Li
- Graduate School of Education, Stanford University, Stanford, CA 94305;
| | - Miaozhe Han
- School of Business, The Chinese University of Hong Kong, Shatin, Hong Kong 999077
| | - Geoffrey L Cohen
- Graduate School of Education, Stanford University, Stanford, CA 94305
- Department of Psychology, Stanford University, Stanford, CA 94305
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8
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Variations in Raven's Progressive Matrices scores among Chinese children and adolescents. PERSONALITY AND INDIVIDUAL DIFFERENCES 2020. [DOI: 10.1016/j.paid.2020.110064] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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9
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Malanchini M, Rimfeld K, Allegrini AG, Ritchie SJ, Plomin R. Cognitive ability and education: How behavioural genetic research has advanced our knowledge and understanding of their association. Neurosci Biobehav Rev 2020; 111:229-245. [PMID: 31968216 PMCID: PMC8048133 DOI: 10.1016/j.neubiorev.2020.01.016] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 11/30/2019] [Accepted: 01/17/2020] [Indexed: 01/07/2023]
Abstract
Cognitive ability and educational success predict positive outcomes across the lifespan, from higher earnings to better health and longevity. The shared positive outcomes associated with cognitive ability and education are emblematic of the strong interconnections between them. Part of the observed associations between cognitive ability and education, as well as their links with wealth, morbidity and mortality, are rooted in genetic variation. The current review evaluates the contribution of decades of behavioural genetic research to our knowledge and understanding of the biological and environmental basis of the association between cognitive ability and education. The evidence reviewed points to a strong genetic basis in their association, observed from middle childhood to old age, which is amplified by environmental experiences. In addition, the strong stability and heritability of educational success are not driven entirely by cognitive ability. This highlights the contribution of other educationally relevant noncognitive characteristics. Considering both cognitive and noncognitive skills as well as their biological and environmental underpinnings will be fundamental in moving towards a comprehensive, evidence-based model of education.
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Affiliation(s)
- Margherita Malanchini
- Department of Biological and Experimental Psychology, Queen Mary University of London, United Kingdom; Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom; Population Research Center, The University of Texas at Austin, United States.
| | - Kaili Rimfeld
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Andrea G Allegrini
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Stuart J Ritchie
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
| | - Robert Plomin
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom
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Zheng A, Tucker-Drob EM, Briley DA. National Gross Domestic Product, Science Interest, and Science Achievement: A Direct Replication and Extension of the Tucker-Drob, Cheung, and Briley (2014) Study. Psychol Sci 2019; 30:776-788. [PMID: 30990767 DOI: 10.1177/0956797619835768] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
We replicated the study by Tucker-Drob, Cheung, and Briley (2014), who found that the association between science interest and science knowledge depended on economic resources at the family, school, and national levels, using data from the 2006 Programme for International Student Assessment (PISA). In more economically prosperous families, schools, and nations, student interest was more strongly correlated with actual knowledge. Here, we investigated whether these results still held despite substantial changes to educational and economic systems over roughly a decade. Using similar data from PISA 2015 ( N = 537,170), we found largely consistent results. Students from more economically advantaged homes, schools, and nations exhibited a stronger link between interests and knowledge. However, these moderation effects were substantially reduced, and the main effect of science interest increased by nearly 25%, driven almost entirely by families of low socioeconomic status and nations with low gross domestic product. The interdependence of interests and resources is robust but perhaps weakening with educational progress.
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Affiliation(s)
- Anqing Zheng
- 1 Department of Psychology, University of Illinois at Urbana-Champaign
| | - Elliot M Tucker-Drob
- 2 Department of Psychology, The University of Texas at Austin.,3 Population Research Center, The University of Texas at Austin
| | - Daniel A Briley
- 1 Department of Psychology, University of Illinois at Urbana-Champaign
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The specificity of associations between cognition and attainment in English, maths and science during adolescence. LEARNING AND INDIVIDUAL DIFFERENCES 2019. [DOI: 10.1016/j.lindif.2018.11.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Malanchini M, Engelhardt LE, Grotzinger AD, Harden KP, Tucker-Drob EM. "Same but different": Associations between multiple aspects of self-regulation, cognition, and academic abilities. J Pers Soc Psychol 2018; 117:1164-1188. [PMID: 30550329 DOI: 10.1037/pspp0000224] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Self-regulation describes the ability to control both behaviors and internal states against a backdrop of conflicting or distracting situations, drives, or impulses. In the cognitive psychology tradition, individual differences in self-regulation are commonly measured with performance-based tests of executive functioning, whereas in the personality psychology tradition, individual differences in self-regulation are typically assessed with report-based measures of impulse control, sustained motivation, and perseverance. The goal of this project was (a) to comprehensively examine the structure of associations between multiple self-regulatory constructs stemming from the cognitive and personality psychology traditions; (b) to estimate how these constructs, individually and collectively, related to mathematics and reading ability beyond psychometric measures of processing speed and fluid intelligence; and (c) to estimate the extent to which genetic and environmental factors mediated the observed associations. Data were available for 1,019 child participants from the Texas Twin Project (M age = 10.79, range = 7.8-15.5). Results highlighted the differentiation among cognitive and personality aspects of self-regulation, both at observed and genetic levels. After accounting for processing speed and fluid intelligence, EF remained a significant predictor of reading and mathematics ability. Educationally relevant measures of personality-particularly an openness factor representing curiosity and intellectual self-concept-incrementally contributed to individual differences in reading ability. Collectively, measures of cognition, self-regulation, and other educationally relevant aspects of personality accounted for the entirety of genetic variance in mathematics and reading ability. The current findings point to the important independent role that each construct plays in academic settings. (PsycINFO Database Record (c) 2019 APA, all rights reserved).
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Rad MS, Martingano AJ, Ginges J. Toward a psychology of Homo sapiens: Making psychological science more representative of the human population. Proc Natl Acad Sci U S A 2018; 115:11401-11405. [PMID: 30397114 PMCID: PMC6233089 DOI: 10.1073/pnas.1721165115] [Citation(s) in RCA: 278] [Impact Index Per Article: 39.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Two primary goals of psychological science should be to understand what aspects of human psychology are universal and the way that context and culture produce variability. This requires that we take into account the importance of culture and context in the way that we write our papers and in the types of populations that we sample. However, most research published in our leading journals has relied on sampling WEIRD (Western, educated, industrialized, rich, and democratic) populations. One might expect that our scholarly work and editorial choices would by now reflect the knowledge that Western populations may not be representative of humans generally with respect to any given psychological phenomenon. However, as we show here, almost all research published by one of our leading journals, Psychological Science, relies on Western samples and uses these data in an unreflective way to make inferences about humans in general. To take us forward, we offer a set of concrete proposals for authors, journal editors, and reviewers that may lead to a psychological science that is more representative of the human condition.
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Affiliation(s)
- Mostafa Salari Rad
- Department of Psychology, New School for Social Research, New York, NY 10011
- Department of Psychology, Princeton University, Princeton, NJ 08540
| | | | - Jeremy Ginges
- Department of Psychology, New School for Social Research, New York, NY 10011;
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Betancur L, Votruba-Drzal E, Schunn C. Socioeconomic gaps in science achievement. INTERNATIONAL JOURNAL OF STEM EDUCATION 2018; 5:38. [PMID: 30631728 PMCID: PMC6310441 DOI: 10.1186/s40594-018-0132-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 09/03/2018] [Indexed: 06/09/2023]
Abstract
BACKGROUND In contrast to the extensive research on socioeconomic gaps in reading and math achievement, little attention has been given to socioeconomic disparities in science skills, particularly during the early years of schooling. This emphasis on later years may be problematic because large socioeconomic disparities emerge in the early years, thus it is crucial to document the size of disparities in science achievement and begin unpacking the range of factors that contribute to these disparities. Additionally, it is crucial to know which components of socioeconomic status are more strongly linked to children's science skills so that resources can be more effectively targeted to address disparities. Using nationally representative data from the Early Childhood Longitudinal Study, Kindergarten Class of 1998-99 (N = 9250), this study examines disparities in science achievement across elementary and middle school related to parental income and parental education separating their effects from each other and from a range of confounding factors. Additionally, it considers whether characteristics of children, families, and schools are pathways through which socioeconomic disparities emerge. RESULTS Results show moderate gaps in science achievement related to both household income and parental education. The primary pathways through which parental education and family income influenced science achievement was through mathematics and reading achievement. For parental education gaps, smaller indirect effects also operated through access to informal science learning opportunities both inside and outside of the home environment. CONCLUSION First, this study highlights the importance of considering the contributions of multiple measures of socioeconomic status, instead of a composite. Second, it shows that socioeconomic disparities in science achievement emerge early and that programs and policies aimed at addressing these gaps may need to target children during the early elementary and preschool years. Third, our findings suggest that elementary instructional approaches that simultaneously address science instruction with reading and/or mathematics instruction will likely be especially important for improving overall science outcomes.
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Affiliation(s)
- Laura Betancur
- Department of Psychology & Learning Research and Development Center, University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA 15260 USA
| | - Elizabeth Votruba-Drzal
- Department of Psychology & Learning Research and Development Center, University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA 15260 USA
| | - Christian Schunn
- Department of Psychology & Learning Research and Development Center, University of Pittsburgh, 210 South Bouquet Street, Pittsburgh, PA 15260 USA
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Puchert JI, Dodd N, Viljoen K. The relationship between type of secondary education and subject choice with technically oriented aptitudes for automotive operators. SA JOURNAL OF INDUSTRIAL PSYCHOLOGY 2017. [DOI: 10.4102/sajip.v43i0.1435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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Briley DA, Tucker-Drob EM. Comparing the Developmental Genetics of Cognition and Personality over the Life Span. J Pers 2015; 85:51-64. [PMID: 26045299 DOI: 10.1111/jopy.12186] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Empirical studies of cognitive ability and personality have tended to operate in isolation of one another. We suggest that returning to a unified approach to considering the development of individual differences in both cognition and personality can enrich our understanding of human development. We draw on previous meta-analyses of longitudinal, behavior genetic studies of cognition and personality across the life span, focusing particular attention on age trends in heritability and differential stability. Both cognition and personality are moderately heritable and exhibit large increases in stability with age; however, marked differences are evident. First, the heritability of cognition increases substantially with child age, while the heritability of personality decreases modestly with age. Second, increasing stability of cognition with age is overwhelmingly mediated by genetic factors, whereas increasing stability of personality with age is entirely mediated by environmental factors. Third, the maturational time-course of stability differs: Stability of cognition nears its asymptote by the end of the first decade of life, whereas stability of personality takes three decades to near its asymptote. We discuss how proximal gene-environment dynamics, developmental processes, broad social contexts, and evolutionary pressures may intersect to give rise to these divergent patterns.
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