The A-Not-B Error: Results from a Logistic Meta-Analysis
A meta-analysis of the A-not-B error was conducted using logistic regression on studies conducted before September 1997 (107 data points). An earlier meta-analysis by Wellman, Cross, and Bartsch revealed that age, delay between hiding and retrieval, and number of hiding locations were significant pr...
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Veröffentlicht in: | Child development 1999-11, Vol.70 (6), p.1297-1313 |
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description | A meta-analysis of the A-not-B error was conducted using logistic regression on studies conducted before September 1997 (107 data points). An earlier meta-analysis by Wellman, Cross, and Bartsch revealed that age, delay between hiding and retrieval, and number of hiding locations were significant predictors of both the proportion of infants who searched correctly on B trials and the proportion of infants who searched perseveratively. The current analysis replicated these findings with two exceptions: (1) The number of trials at the A location was a significant predictor, and (2) the number of locations was a significant predictor of the proportion of infants who searched perseveratively, but not the proportion of infants who searched correctly. Implications of these findings are discussed and a quantitative version of a hierarchical competing-systems model of infant search is proposed. |
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An earlier meta-analysis by Wellman, Cross, and Bartsch revealed that age, delay between hiding and retrieval, and number of hiding locations were significant predictors of both the proportion of infants who searched correctly on B trials and the proportion of infants who searched perseveratively. The current analysis replicated these findings with two exceptions: (1) The number of trials at the A location was a significant predictor, and (2) the number of locations was a significant predictor of the proportion of infants who searched perseveratively, but not the proportion of infants who searched correctly. Implications of these findings are discussed and a quantitative version of a hierarchical competing-systems model of infant search is proposed.</description><identifier>ISSN: 0009-3920</identifier><identifier>EISSN: 1467-8624</identifier><identifier>DOI: 10.1111/1467-8624.00095</identifier><identifier>CODEN: CHDEAW</identifier><language>eng</language><publisher>Boston, USA and Oxford, UK: Blackwell Publishers Inc</publisher><subject>Age Differences ; Babies ; Behavior ; Biological and medical sciences ; Child development ; Cognition and Language ; Cognitive Development ; Datasets ; Developmental psychology ; Error Patterns ; Errors ; Experimentation ; Fundamental and applied biological sciences. Psychology ; Infant Behavior ; Infants ; Information search ; Information search behavior ; Linear regression ; Logistic regression ; Logistics ; Meta Analysis ; Multilevel models ; Newborn. Infant ; Persistence ; Piagetian Theory ; Predictor Variables ; Predictors ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Regression analysis ; Research Replication ; Search Behavior ; Search tasks ; Systematic review ; Theories</subject><ispartof>Child development, 1999-11, Vol.70 (6), p.1297-1313</ispartof><rights>Copyright 1999 The Society for Research in Child Development, Inc.</rights><rights>2000 INIST-CNRS</rights><rights>Copyright Blackwell Publishers Inc. 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An earlier meta-analysis by Wellman, Cross, and Bartsch revealed that age, delay between hiding and retrieval, and number of hiding locations were significant predictors of both the proportion of infants who searched correctly on B trials and the proportion of infants who searched perseveratively. The current analysis replicated these findings with two exceptions: (1) The number of trials at the A location was a significant predictor, and (2) the number of locations was a significant predictor of the proportion of infants who searched perseveratively, but not the proportion of infants who searched correctly. 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subjects | Age Differences Babies Behavior Biological and medical sciences Child development Cognition and Language Cognitive Development Datasets Developmental psychology Error Patterns Errors Experimentation Fundamental and applied biological sciences. Psychology Infant Behavior Infants Information search Information search behavior Linear regression Logistic regression Logistics Meta Analysis Multilevel models Newborn. Infant Persistence Piagetian Theory Predictor Variables Predictors Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Regression analysis Research Replication Search Behavior Search tasks Systematic review Theories |
title | The A-Not-B Error: Results from a Logistic Meta-Analysis |
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