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Neba Afanwi Nfonsang – ProQuest LLC, 2022
This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…
Descriptors: Hierarchical Linear Modeling, Scores, High School Students, Grade 10
Pham, Giang; Ebert, Kerry Danahy; Kohnert, Kathryn – International Journal of Language & Communication Disorders, 2015
Background: Evidence on the treatment effectiveness for bilingual children with primary language impairment (PLI) is needed to advance both theory and clinical practice. Of key interest is whether treatment effects are maintained following the completion of short-term intense treatments. Aims: To investigate change in select language and cognitive…
Descriptors: Bilingualism, Children, Language Impairments, Outcomes of Treatment
Guo, Ying; Piasta, Shayne B.; Bowles, Ryan P. – Early Education and Development, 2015
Research Findings: The purpose of this study was to describe children's science content knowledge and examine the early predictors of science content knowledge in a sample of 194 typically developing preschool children. Children's science content knowledge was assessed in the fall (Time 1) and spring (Time 2) of the preschool year. Results showed…
Descriptors: Preschool Children, Sciences, Knowledge Level, Predictor Variables
McArdle, John J.; Hamagami, Fumiaki; Bautista, Randy; Onoye, Jane; Hishinuma, Earl S.; Prescott, Carol A.; Takeshita, Junji; Zonderman, Alan B.; Johnson, Ronald C. – Educational and Psychological Measurement, 2014
In this study, we reanalyzed the classic Hawai'i Family Study of Cognition (HFSC) data using contemporary multilevel modeling techniques. We used the HFSC baseline data ("N" = 6,579) and reexamined the factorial structure of 16 cognitive variables using confirmatory (restricted) measurement models in an explicit sequence. These models…
Descriptors: Factor Analysis, Hierarchical Linear Modeling, Data Analysis, Structural Equation Models

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