Developmental Changes in Executive Functioning
Although early studies of executive functioning in children supported Miyake et al.'s (2000) three-factor model, more recent findings supported a variety of undifferentiated or two-factor structures. Using a cohort-sequential design, this study examined whether there were age-related difference...
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| Veröffentlicht in: | Child development 2013-11, Vol.84 (6), p.1933-1953 |
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| container_end_page | 1953 |
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| container_issue | 6 |
| container_start_page | 1933 |
| container_title | Child development |
| container_volume | 84 |
| creator | Lee, Kerry Bull, Rebecca Ho, Ringo M. H. |
| description | Although early studies of executive functioning in children supported Miyake et al.'s (2000) three-factor model, more recent findings supported a variety of undifferentiated or two-factor structures. Using a cohort-sequential design, this study examined whether there were age-related differences in the structure of executive functioning among 6- to 15-year-olds (N = 688). Children were tested annually on tasks designed to measure updating and working memory, inhibition, and switch efficiency. There was substantial task-based variation in developmental patterns on the various tasks. Confirmatory factor analyses and tests for longitudinal factorial invariance showed that data from the 5- to 13-year-olds conformed to a two-factor structure. For the 15-year-olds, a well-separated three-factor structure was found. |
| doi_str_mv | 10.1111/cdev.12096 |
| format | Article |
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H.</creator><creatorcontrib>Lee, Kerry ; Bull, Rebecca ; Ho, Ringo M. H.</creatorcontrib><description>Although early studies of executive functioning in children supported Miyake et al.'s (2000) three-factor model, more recent findings supported a variety of undifferentiated or two-factor structures. Using a cohort-sequential design, this study examined whether there were age-related differences in the structure of executive functioning among 6- to 15-year-olds (N = 688). Children were tested annually on tasks designed to measure updating and working memory, inhibition, and switch efficiency. There was substantial task-based variation in developmental patterns on the various tasks. Confirmatory factor analyses and tests for longitudinal factorial invariance showed that data from the 5- to 13-year-olds conformed to a two-factor structure. For the 15-year-olds, a well-separated three-factor structure was found.</description><identifier>ISSN: 0009-3920</identifier><identifier>EISSN: 1467-8624</identifier><identifier>DOI: 10.1111/cdev.12096</identifier><identifier>PMID: 23550969</identifier><identifier>CODEN: CHDEAW</identifier><language>eng</language><publisher>Malden, MA: Blackwell Publishing Ltd</publisher><subject>Adolescent ; Adolescent Development ; Adolescent Development - physiology ; Adolescents ; Age ; Age difference ; Age Differences ; Age groups ; Aging - physiology ; Biological and medical sciences ; Child ; Child Development ; Child Development - physiology ; Child psychology ; Child, Preschool ; Children ; Children & youth ; Cognition & reasoning ; Cognitive Processes ; Cohort Studies ; Cohorts ; Developmental psychology ; Discriminant analysis ; EMPIRICAL ARTICLES ; Executive Function ; Executive Function - physiology ; Factor Analysis ; Factor Structure ; Female ; Fundamental and applied biological sciences. Psychology ; Humans ; Inhibition ; Inhibition (Psychology) ; Longitudinal studies ; Male ; Mathematical functions ; Memory ; Memory interference ; Memory, Short-Term - physiology ; Pattern Recognition, Visual - physiology ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychomotor Performance - physiology ; Reaction Time ; Short Term Memory ; Statistical variance ; Trucks ; Updating ; Variance ; Working memory</subject><ispartof>Child development, 2013-11, Vol.84 (6), p.1933-1953</ispartof><rights>Child Development © 2013 Society for Research in Child Development, Inc.</rights><rights>2013 The Authors. Child Development © 2013 Society for Research in Child Development, Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Blackwell Publishing Ltd. 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H.</creatorcontrib><title>Developmental Changes in Executive Functioning</title><title>Child development</title><addtitle>Child Dev</addtitle><description>Although early studies of executive functioning in children supported Miyake et al.'s (2000) three-factor model, more recent findings supported a variety of undifferentiated or two-factor structures. Using a cohort-sequential design, this study examined whether there were age-related differences in the structure of executive functioning among 6- to 15-year-olds (N = 688). Children were tested annually on tasks designed to measure updating and working memory, inhibition, and switch efficiency. There was substantial task-based variation in developmental patterns on the various tasks. Confirmatory factor analyses and tests for longitudinal factorial invariance showed that data from the 5- to 13-year-olds conformed to a two-factor structure. For the 15-year-olds, a well-separated three-factor structure was found.</description><subject>Adolescent</subject><subject>Adolescent Development</subject><subject>Adolescent Development - physiology</subject><subject>Adolescents</subject><subject>Age</subject><subject>Age difference</subject><subject>Age Differences</subject><subject>Age groups</subject><subject>Aging - physiology</subject><subject>Biological and medical sciences</subject><subject>Child</subject><subject>Child Development</subject><subject>Child Development - physiology</subject><subject>Child psychology</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Children & youth</subject><subject>Cognition & reasoning</subject><subject>Cognitive Processes</subject><subject>Cohort Studies</subject><subject>Cohorts</subject><subject>Developmental psychology</subject><subject>Discriminant analysis</subject><subject>EMPIRICAL ARTICLES</subject><subject>Executive Function</subject><subject>Executive Function - physiology</subject><subject>Factor Analysis</subject><subject>Factor Structure</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humans</subject><subject>Inhibition</subject><subject>Inhibition (Psychology)</subject><subject>Longitudinal studies</subject><subject>Male</subject><subject>Mathematical functions</subject><subject>Memory</subject><subject>Memory interference</subject><subject>Memory, Short-Term - physiology</subject><subject>Pattern Recognition, Visual - physiology</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychomotor Performance - physiology</subject><subject>Reaction Time</subject><subject>Short Term Memory</subject><subject>Statistical variance</subject><subject>Trucks</subject><subject>Updating</subject><subject>Variance</subject><subject>Working memory</subject><issn>0009-3920</issn><issn>1467-8624</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqN0UlvEzEUAGALgWgauHAHRUKVENIE78sRJmkBFbiwHC3XflMcJjNhPBPaf4-HpKnEAeqLZb1Pz29B6AnBc5LPKx9gOycUG3kPTQiXqtCS8vtogjE2BTMUH6HjlFb5SaVhD9ERZUJkbiZovoAt1O1mDU3v6ln53TWXkGaxmS2vwA993MLsdGh8H9smNpeP0IPK1Qke7-8p-nK6_Fy-Lc4_nb0rX58XXjIuC18xogkDo8SF90zjUIVQSc-ZCUQ4XIFTJGAQ2nteSalD4N6HCrQKjnvDpujFLu-ma38OkHq7jslDXbsG2iFZIgglhmHN_k-5oRJLTu6QlUuJDVeG34EKTbTCTGT6_C-6aoeuyeMZleFCcaqzerlTvmtT6qCymy6uXXdtCbbjGu24RvtnjRk_26ccLtYQDvRmbxmc7IFL3tVV5xof061TJveAR_d056CL_hBevieYCirHNsku_ivWcP2Pkmy5WH69KW6fc5X6trv9k2NqZJ7IFBW7eEw9XB3irvthpWJK2G8fz6zi5EP5plxYzX4DoabTqg</recordid><startdate>201311</startdate><enddate>201311</enddate><creator>Lee, Kerry</creator><creator>Bull, Rebecca</creator><creator>Ho, Ringo M. 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H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6346-cf31813e975bcc380dfddf6c439d15a0fea71d0e58cc4f668dd4ccdfe87da4c93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adolescent Development</topic><topic>Adolescent Development - physiology</topic><topic>Adolescents</topic><topic>Age</topic><topic>Age difference</topic><topic>Age Differences</topic><topic>Age groups</topic><topic>Aging - physiology</topic><topic>Biological and medical sciences</topic><topic>Child</topic><topic>Child Development</topic><topic>Child Development - physiology</topic><topic>Child psychology</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Children & youth</topic><topic>Cognition & reasoning</topic><topic>Cognitive Processes</topic><topic>Cohort Studies</topic><topic>Cohorts</topic><topic>Developmental psychology</topic><topic>Discriminant analysis</topic><topic>EMPIRICAL ARTICLES</topic><topic>Executive Function</topic><topic>Executive Function - physiology</topic><topic>Factor Analysis</topic><topic>Factor Structure</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humans</topic><topic>Inhibition</topic><topic>Inhibition (Psychology)</topic><topic>Longitudinal studies</topic><topic>Male</topic><topic>Mathematical functions</topic><topic>Memory</topic><topic>Memory interference</topic><topic>Memory, Short-Term - physiology</topic><topic>Pattern Recognition, Visual - physiology</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychomotor Performance - physiology</topic><topic>Reaction Time</topic><topic>Short Term Memory</topic><topic>Statistical variance</topic><topic>Trucks</topic><topic>Updating</topic><topic>Variance</topic><topic>Working memory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Kerry</creatorcontrib><creatorcontrib>Bull, Rebecca</creatorcontrib><creatorcontrib>Ho, Ringo M. 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H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1025264</ericid><atitle>Developmental Changes in Executive Functioning</atitle><jtitle>Child development</jtitle><addtitle>Child Dev</addtitle><date>2013-11</date><risdate>2013</risdate><volume>84</volume><issue>6</issue><spage>1933</spage><epage>1953</epage><pages>1933-1953</pages><issn>0009-3920</issn><eissn>1467-8624</eissn><coden>CHDEAW</coden><abstract>Although early studies of executive functioning in children supported Miyake et al.'s (2000) three-factor model, more recent findings supported a variety of undifferentiated or two-factor structures. Using a cohort-sequential design, this study examined whether there were age-related differences in the structure of executive functioning among 6- to 15-year-olds (N = 688). Children were tested annually on tasks designed to measure updating and working memory, inhibition, and switch efficiency. 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| ispartof | Child development, 2013-11, Vol.84 (6), p.1933-1953 |
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| source | Access via Wiley Online Library; Applied Social Sciences Index & Abstracts (ASSIA); Jstor Complete Legacy; MEDLINE; EBSCOhost Education Source |
| subjects | Adolescent Adolescent Development Adolescent Development - physiology Adolescents Age Age difference Age Differences Age groups Aging - physiology Biological and medical sciences Child Child Development Child Development - physiology Child psychology Child, Preschool Children Children & youth Cognition & reasoning Cognitive Processes Cohort Studies Cohorts Developmental psychology Discriminant analysis EMPIRICAL ARTICLES Executive Function Executive Function - physiology Factor Analysis Factor Structure Female Fundamental and applied biological sciences. Psychology Humans Inhibition Inhibition (Psychology) Longitudinal studies Male Mathematical functions Memory Memory interference Memory, Short-Term - physiology Pattern Recognition, Visual - physiology Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychomotor Performance - physiology Reaction Time Short Term Memory Statistical variance Trucks Updating Variance Working memory |
| title | Developmental Changes in Executive Functioning |
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