Literature DB >> 17708696

Internet cognitive testing of large samples needed in genetic research.

Claire M A Haworth1, Nicole Harlaar, Yulia Kovas, Oliver S P Davis, Bonamy R Oliver, Marianna E Hayiou-Thomas, Jane Frances, Patricia Busfield, Andrew McMillan, Philip S Dale, Robert Plomin.   

Abstract

Quantitative and molecular genetic research requires large samples to provide adequate statistical power, but it is expensive to test large samples in person, especially when the participants are widely distributed geographically. Increasing access to inexpensive and fast Internet connections makes it possible to test large samples efficiently and economically online. Reliability and validity of Internet testing for cognitive ability have not been previously reported; these issues are especially pertinent for testing children. We developed Internet versions of reading, language, mathematics and general cognitive ability tests and investigated their reliability and validity for 10- and 12-year-old children. We tested online more than 2500 pairs of 10-year-old twins and compared their scores to similar internet-based measures administered online to a subsample of the children when they were 12 years old (> 759 pairs). Within 3 months of the online testing at 12 years, we administered standard paper and pencil versions of the reading and mathematics tests in person to 30 children (15 pairs of twins). Scores on Internet-based measures at 10 and 12 years correlated .63 on average across the two years, suggesting substantial stability and high reliability. Correlations of about .80 between Internet measures and in-person testing suggest excellent validity. In addition, the comparison of the internet-based measures to ratings from teachers based on criteria from the UK National Curriculum suggests good concurrent validity for these tests. We conclude that Internet testing can be reliable and valid for collecting cognitive test data on large samples even for children as young as 10 years.

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Year:  2007        PMID: 17708696     DOI: 10.1375/twin.10.4.554

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  61 in total

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Authors:  Claire M A Haworth; Philip S Dale; Robert Plomin
Journal:  Int J Educ Res       Date:  2010

2.  Validating Online Measures of Cognitive Ability in Genes for Good, a Genetic Study of Health and Behavior.

Authors:  MengZhen Liu; Gianna Rea-Sandin; Johanna Foerster; Lars Fritsche; Katharine Brieger; Christopher Clark; Kevin Li; Anita Pandit; Gregory Zajac; Gonçalo R Abecasis; Scott Vrieze
Journal:  Assessment       Date:  2017-11-28

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

Authors:  Yu L L Luo; Yulia Kovas; Claire M A Haworth; Robert Plomin
Journal:  Learn Individ Differ       Date:  2011-12-01

4.  Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments.

Authors:  Laura Germine; Ken Nakayama; Bradley C Duchaine; Christopher F Chabris; Garga Chatterjee; Jeremy B Wilmer
Journal:  Psychon Bull Rev       Date:  2012-10

5.  Genetic overlap between evoked frontocentral theta-band phase variability, reaction time variability, and attention-deficit/hyperactivity disorder symptoms in a twin study.

Authors:  Gráinne McLoughlin; Jason A Palmer; Fruhling Rijsdijk; Scott Makeig
Journal:  Biol Psychiatry       Date:  2013-08-31       Impact factor: 13.382

6.  Twins Early Development Study: A Genetically Sensitive Investigation into Behavioral and Cognitive Development from Infancy to Emerging Adulthood.

Authors:  Kaili Rimfeld; Margherita Malanchini; Thomas Spargo; Gemma Spickernell; Saskia Selzam; Andrew McMillan; Philip S Dale; Thalia C Eley; Robert Plomin
Journal:  Twin Res Hum Genet       Date:  2019-09-23       Impact factor: 1.587

7.  A twin study of the genetics of high cognitive ability selected from 11,000 twin pairs in six studies from four countries.

Authors:  Claire M A Haworth; Margaret J Wright; Nicolas W Martin; Nicholas G Martin; Dorret I Boomsma; Meike Bartels; Danielle Posthuma; Oliver S P Davis; Angela M Brant; Robin P Corley; John K Hewitt; William G Iacono; Matthew McGue; Lee A Thompson; Sara A Hart; Stephen A Petrill; David Lubinski; Robert Plomin
Journal:  Behav Genet       Date:  2009-04-21       Impact factor: 2.805

8.  Generalist genes and learning disabilities: a multivariate genetic analysis of low performance in reading, mathematics, language and general cognitive ability in a sample of 8000 12-year-old twins.

Authors:  Claire M A Haworth; Yulia Kovas; Nicole Harlaar; Marianna E Hayiou-Thomas; Stephen A Petrill; Philip S Dale; Robert Plomin
Journal:  J Child Psychol Psychiatry       Date:  2009-07-01       Impact factor: 8.982

9.  Learning abilities and disabilities: generalist genes in early adolescence.

Authors:  Oliver S P Davis; Claire M A Haworth; Robert Plomin
Journal:  Cogn Neuropsychiatry       Date:  2009       Impact factor: 1.871

10.  A genome-wide association study identifies multiple loci associated with mathematics ability and disability.

Authors:  S J Docherty; O S P Davis; Y Kovas; E L Meaburn; P S Dale; S A Petrill; L C Schalkwyk; R Plomin
Journal:  Genes Brain Behav       Date:  2009-11-10       Impact factor: 3.449

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