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Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
Duncan, Greg J.; Jenkins, Jade M.; Watts, Tyler W.; Magnuson, Katherine; Clements, Douglas; Sarama, Julie; Wolfe, Christopher B.; Spitler, Mary Elaine – Society for Research on Educational Effectiveness, 2015
A substantial literature documents the benefits of early childhood education and formal preschool experiences on children's school readiness, with low-income and otherwise disadvantaged children benefitting the most from these programs. However, these academic benefits often fade out as children age, and most disappear by the end of kindergarten…
Descriptors: Preschool Education, Early Childhood Education, Kindergarten, Grade 1
Pry, Rene; Bodet, Joffrey; Pernon, Eric; Aussilloux, Charles; Baghdadli, Amaria – Journal of Autism and Developmental Disorders, 2007
This longitudinal study assessed multidisciplinary data on 219 children with autistic spectrum disorders from the median age of 5 (Time 1) to 8 years old (Time 2). The evolution of psychological and adaptive data was subjected to cluster analysis. Four clinically meaningful clusters emerged. The first group (21%) demonstrated the most important…
Descriptors: Age, Multivariate Analysis, Autism, Longitudinal Studies
Hong, Guanglei; Yu, Bing – Developmental Psychology, 2008
This study examines the effects of kindergarten retention on children's social-emotional development in the early, middle, and late elementary years. Previous studies have generated mixed results partly due to some major methodological challenges, including selection bias, measurement error, and divergent perceptions of multiple respondents in…
Descriptors: Comparative Analysis, Social Development, Error of Measurement, Kindergarten
Shieh, Gwowen – Psychometrika, 2005
This article considers the problem of power and sample size calculations for normal outcomes within the framework of multivariate linear models. The emphasis is placed on the practical situation that not only the values of response variables for each subject are just available after the observations are made, but also the levels of explanatory…
Descriptors: Sample Size, Multivariate Analysis, Monte Carlo Methods, Intellectual Development
DiStefano, Christine; Kamphaus, R. W. – Educational and Psychological Measurement, 2006
Two classification methods, latent class cluster analysis and cluster analysis, are used to identify groups of child behavioral adjustment underlying a sample of elementary school children aged 6 to 11 years. Behavioral rating information across 14 subscales was obtained from classroom teachers and used as input for analyses. Both the procedures…
Descriptors: Child Development, Multivariate Analysis, Comparative Analysis, Classification
Shieh, Gwowen – Multivariate Behavioral Research, 2003
Repeated measures and longitudinal studies arise often in social and behavioral science research. During the planning stage of such studies, the calculations of sample size are of particular interest to the investigators and should be an integral part of the research projects. In this article, we consider the power and sample size calculations for…
Descriptors: Comparative Analysis, Behavioral Science Research, Monte Carlo Methods, Longitudinal Studies