Variability and its sources in infant categorization |
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| Institution: | 1. Department of Psychology, Gettysburg College, Gettysburg, PA 17325, USA;2. Child and Family Research, National Institute of Child Health and Human Development, Suite 8030, 6705 Rockledge Drive, Bethesda, MD 20892-7971, USA;1. Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, No. 2 Anzhen Rd Beijing, China;2. Department of Radiology II, Innsbruck Medical University, Innsbruck, Austria;1. Institute of Electrical Engineering, Yanshan University, Qinghuadao 066004, Hebei, China;2. State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, 100875, China;3. Center for Collaboration and Innovation in Brain and Learning Sciences, Beijing Normal University, Beijing, 100875, China;4. Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China;1. Université de Lille, Laboratoire Sciences Cognitives Sciences Affectives (ScaLab), UMR 9193 CNRS, F-59000 Lille, France;2. Centre Hospitalier Universitaire de Lille (CHULille), Hôpital Fontan, F-59037 Lille, France;3. Laboratory for Experimental Psychopathology, Psychological Sciences Research Institute, Université Catholique de Louvain, Louvain-La-Neuve, Belgium;1. Department of Psychological Science, Health and Territory, “G. d’Annunzio” University of Chieti-Pescara, Italy;2. Department of Clinical and Experimental Medicine, Neuroscience and Cell Biology Section, Polytechnic University of Marche, Ancona, Italy;3. Regional Epilepsy Center, Neurological Clinic, “Ospedali Riuniti”, Ancona, Italy |
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| Abstract: | Variability of infants’ categorization performance and potential sources of this variability were investigated. Using data from 13 categorization studies employing a habituation-of-looking paradigm with infants 3, 5, 6, and 9 months of age, a method for establishing a categorization criterion was developed and then used to classify individual infants as “categorizers” for particular tasks. Logistic regression analyses were then used to identify demographic and information-processing variables that predicted “categorizer” classification. Variables that increased the odds of being classified as a categorizer were gender, number of habituation trials, and duration of peak look during habituation; total looking time during habituation decreased the odds of categorizer classification. These findings are discussed in the context of individual differences in information processing. |
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