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Direct linkNam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
Reid, Susan M.; McCutcheon, Jennifer; Reddihough, Dinah S.; Johnson, Hilary – Developmental Medicine & Child Neurology, 2012
Aim: To establish a prevalence estimate for drooling and explore factors associated with drooling in a population sample of children with cerebral palsy (CP) aged 7 to 14 years living in Victoria, Australia. Method: A self-report questionnaire was used to collect data on drooling from parents of children born between 1996 and 2001, and registered…
Descriptors: Foreign Countries, Incidence, Classification, Motor Development
McDowell, Brona C.; Kerr, Claire; Parkes, Jackie – Developmental Medicine & Child Neurology, 2007
Gross Motor Function Classification System (GMFCS) level was reported by three independent assessors in a population of children with cerebral palsy (CP) aged between 4 and 18 years (n=184; 112 males, 72 females; mean age 10y 10mo [SD 3y 7mo]). A software algorithm also provided a computed GMFCS level from a regional CP registry. Participants had…
Descriptors: Cerebral Palsy, Parents, Classification, Interrater Reliability
