Literature DB >> 22102781

The etiology of mathematical self-evaluation and mathematics achievement: understanding the relationship using a cross-lagged twin study from age 9 to 12.

Yu L L Luo1, Yulia Kovas, Claire M A Haworth, Robert Plomin.   

Abstract

The genetic and environmental origins of individual differences in mathematical self-evaluation over time and its association with later mathematics achievement were investigated in a UK sample of 2138 twin pairs at ages 9 and 12. Self-evaluation indexed how good children think they are at mathematical activities and how much they like those activities. Mathematics achievement was assessed by teachers based on UK National Curriculum standards. At both ages self-evaluation was approximately 40% heritable, with the rest of the variance explained by non-shared environment. The results also suggested moderate reciprocal associations between self-evaluation and mathematics achievement across time, with earlier self-evaluation predicting later performance and earlier performance predicting later self-evaluation. These cross-lagged relationships were genetically rather than environmentally mediated.

Entities:  

Year:  2011        PMID: 22102781      PMCID: PMC3217262          DOI: 10.1016/j.lindif.2011.09.001

Source DB:  PubMed          Journal:  Learn Individ Differ        ISSN: 1041-6080


  20 in total

1.  Expectancy-Value Theory of Achievement Motivation.

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Journal:  Contemp Educ Psychol       Date:  2000-01

2.  A novel approach to genetic and environmental analysis of cross-lagged associations over time: the cross-lagged relationship between self-perceived abilities and school achievement is mediated by genes as well as the environment.

Authors:  Yu L L Luo; Claire M A Haworth; Robert Plomin
Journal:  Twin Res Hum Genet       Date:  2010-10       Impact factor: 1.587

3.  'Generalist genes' and mathematics in 7-year-old twins.

Authors:  Y Kovas; N Harlaar; S A Petrill; R Plomin
Journal:  Intelligence       Date:  2005-09-01

4.  The Origins of Diverse Domains of Mathematics: Generalist Genes but Specialist Environments.

Authors:  Y Kovas; S A Petrill; R Plomin
Journal:  J Educ Psychol       Date:  2007-02-01

5.  Adjustment of twin data for the effects of age and sex.

Authors:  M McGue; T J Bouchard
Journal:  Behav Genet       Date:  1984-07       Impact factor: 2.805

6.  How are parent-child conflict and childhood externalizing symptoms related over time? Results from a genetically informative cross-lagged study.

Authors:  S Alexandra Burt; Matt McGue; Robert F Krueger; William G Iacono
Journal:  Dev Psychopathol       Date:  2005

7.  More than just IQ: school achievement is predicted by self-perceived abilities--but for genetic rather than environmental reasons.

Authors:  Corina U Greven; Nicole Harlaar; Yulia Kovas; Tomas Chamorro-Premuzic; Robert Plomin
Journal:  Psychol Sci       Date:  2009-05-15

8.  Developmental dyscalculia: prevalence and demographic features.

Authors:  V Gross-Tsur; O Manor; R S Shalev
Journal:  Dev Med Child Neurol       Date:  1996-01       Impact factor: 5.449

9.  The genetic and environmental origins of learning abilities and disabilities in the early school years.

Authors:  Yulia Kovas; Claire M A Haworth; Philip S Dale; Robert Plomin
Journal:  Monogr Soc Res Child Dev       Date:  2007

10.  Twins' Early Development Study (TEDS): a multivariate, longitudinal genetic investigation of language, cognition and behavior problems from childhood through adolescence.

Authors:  Bonamy R Oliver; Robert Plomin
Journal:  Twin Res Hum Genet       Date:  2007-02       Impact factor: 1.587

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  12 in total

1.  Genetic and Environmental Influences on Achievement Goal Orientations Shift with Age.

Authors:  Anqing Zheng; Daniel A Briley; Margherita Malanchini; Jennifer L Tackett; K Paige Harden; Elliot M Tucker-Drob
Journal:  Eur J Pers       Date:  2019-05-01

2.  "Same but different": Associations between multiple aspects of self-regulation, cognition, and academic abilities.

Authors:  Margherita Malanchini; Laura E Engelhardt; Andrew D Grotzinger; K Paige Harden; Elliot M Tucker-Drob
Journal:  J Pers Soc Psychol       Date:  2018-12-13

3.  Symbolic number abilities predict later approximate number system acuity in preschool children.

Authors:  Christophe Mussolin; Julie Nys; Alain Content; Jacqueline Leybaert
Journal:  PLoS One       Date:  2014-03-17       Impact factor: 3.240

4.  From classroom environment to mathematics achievement: The mediating role of self-perceived ability and subject interest.

Authors:  Maria G Tosto; Kathryn Asbury; Michèle M M Mazzocco; Stephen A Petrill; Yulia Kovas
Journal:  Learn Individ Differ       Date:  2016-08

5.  Reading self-perceived ability, enjoyment and achievement: A genetically informative study of their reciprocal links over time.

Authors:  Margherita Malanchini; Zhe Wang; Ivan Voronin; Victoria J Schenker; Robert Plomin; Stephen A Petrill; Yulia Kovas
Journal:  Dev Psychol       Date:  2017-04

6.  Anxiety is not enough to drive me away: A latent profile analysis on math anxiety and math motivation.

Authors:  Zhe Wang; Nicholas Shakeshaft; Kerry Schofield; Margherita Malanchini
Journal:  PLoS One       Date:  2018-02-14       Impact factor: 3.240

Review 7.  Cognitive ability and education: How behavioural genetic research has advanced our knowledge and understanding of their association.

Authors:  Margherita Malanchini; Kaili Rimfeld; Andrea G Allegrini; Stuart J Ritchie; Robert Plomin
Journal:  Neurosci Biobehav Rev       Date:  2020-01-20       Impact factor: 8.989

8.  Preschool Drawing and School Mathematics: The Nature of the Association.

Authors:  Margherita Malanchini; Maria G Tosto; Victoria Garfield; Aysegul Dirik; Adrian Czerwik; Rosalind Arden; Sergey Malykh; Yulia Kovas
Journal:  Child Dev       Date:  2016-04-15

9.  Why children differ in motivation to learn: Insights from over 13,000 twins from 6 countries.

Authors:  Yulia Kovas; Gabrielle Garon-Carrier; Michel Boivin; Stephen A Petrill; Robert Plomin; Sergey B Malykh; Frank Spinath; Kou Murayama; Juko Ando; Olga Y Bogdanova; Mara Brendgen; Ginette Dionne; Nadine Forget-Dubois; Eduard V Galajinsky; Juliana Gottschling; Frédéric Guay; Jean-Pascal Lemelin; Jessica A R Logan; Shinji Yamagata; Chizuru Shikishima; Birgit Spinath; Lee A Thompson; Tatiana N Tikhomirova; Maria G Tosto; Richard Tremblay; Frank Vitaro
Journal:  Pers Individ Dif       Date:  2015-07

10.  Genetics affects choice of academic subjects as well as achievement.

Authors:  Kaili Rimfeld; Ziada Ayorech; Philip S Dale; Yulia Kovas; Robert Plomin
Journal:  Sci Rep       Date:  2016-06-16       Impact factor: 4.379

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