Growth Mixture Modeling of Academic Achievement in Children of Varying Birth Weight Risk

Neuropsychology

Volumn 23, Issue 4, 2009, Pages 460-474

  Espy, Kimberly Andrews ^a   Fang, Hua ^a   Minich, Nori ^b   Taylor, H Gerry ^b,c   Charak, David ^d  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b CASE WESTERN RESERVE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c CASE WESTERN RESERVE UNIVERSITY   (United States)

^d Learning Point Associates   (United States)

Author keywords

academic achievement; growth mixture modeling; latent class identification; low birth weight; prematurity

Indexed keywords

ACADEMIC ACHIEVEMENT; ADOLESCENT; ARTICLE; BIRTH WEIGHT; CALCULATION; CHILD; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; GROWTH MIXTURE MODELING; HUMAN; LEARNING DISORDER; MAJOR CLINICAL STUDY; MALE; MENTAL PERFORMANCE; MOTOR PERFORMANCE; PREDICTION; PREMATURITY; PRIORITY JOURNAL; PROBLEM SOLVING; SCHOOL CHILD; STATISTICAL ANALYSIS; VERY LOW BIRTH WEIGHT;

ACHIEVEMENT; ADOLESCENT; AGE FACTORS; BIRTH WEIGHT; CHILD; CHILD DEVELOPMENT; DEVELOPMENTAL DISABILITIES; FEMALE; HUMANS; INFANT, NEWBORN; INFANT, VERY LOW BIRTH WEIGHT; LEARNING DISORDERS; MALE; MODELS, PSYCHOLOGICAL; NEUROPSYCHOLOGICAL TESTS; PROBABILITY; RISK;

EID: 67650105173     PISSN: 08944105     EISSN: None     Source Type: Journal    
DOI: 10.1037/a0015676     Document Type: Article

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