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Anastasia Parrish – ProQuest LLC, 2017
The problem this study addressed was whether an intervention, grounded in Reading Recovery strategies, was as effective when used with struggling readers in small groups as it is in 1:1 instruction. The purpose of this causal-comparative study was to investigate the differences in student performance between students who received small group…
Descriptors: Small Group Instruction, Intervention, Reading, Reading Difficulties
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Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2013
This article examines the estimation of two-stage clustered designs for education randomized control trials (RCTs) using the nonparametric Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for…
Descriptors: Computation, Causal Models, Statistical Inference, Nonparametric Statistics
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Piper, Benjamin; Jepkemei, Evelyn; Kibukho, Kennedy – Africa Education Review, 2015
Children from low-income families are at risk of learning outcome difficulties, particularly in literacy. Various studies link poor literacy results with performance later in primary and secondary school, and suggest that poverty, literacy skills and weak instructional methods combine to drastically limit the educational opportunities for many…
Descriptors: Foreign Countries, Emergent Literacy, Skill Development, Educational Improvement
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Shin, Yongyun; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2011
This article addresses three questions: Does reduced class size cause higher academic achievement in reading, mathematics, listening, and word recognition skills? If it does, how large are these effects? Does the magnitude of such effects vary significantly across schools? The authors analyze data from Tennessee's Student/Teacher Achievement Ratio…
Descriptors: Small Classes, Correlation, Reading Achievement, Mathematics Achievement
Liu, Xing – Online Submission, 2008
The purpose of this study was to illustrate the use of Hierarchical Linear Models (HLM) to investigate the effects of school and children's attributes on children' reading achievement. In particular, this study was designed to: (1) develop the HLM models to determine the effects of school-level and child-level variables on children's reading…
Descriptors: Academically Gifted, Reading Achievement, Kindergarten, Television
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Jo, Booil – Journal of Educational and Behavioral Statistics, 2008
An analytical approach was employed to compare sensitivity of causal effect estimates with different assumptions on treatment noncompliance and non-response behaviors. The core of this approach is to fully clarify bias mechanisms of considered models and to connect these models based on common parameters. Focusing on intention-to-treat analysis,…
Descriptors: Evaluation Methods, Intention, Research Methodology, Causal Models
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McCoach, D. Betsy; O'Connell, Ann A.; Reis, Sally M.; Levitt, Heather A. – Journal of Educational Psychology, 2006
Using the first 4 waves of data from the Early Childhood Longitudinal Study-Kindergarten cohort (ECLS-K), this piecewise 3-level (time-student-school) growth-curve model provides a portrait of students' reading growth over the first 2 years of school. On average, students make much greater reading gains in 1st grade than they do in kindergarten.…
Descriptors: Kindergarten, Reading Improvement, Grade 1, Causal Models
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Davies, Elizabeth P.; Sigelman, Carol K.; Bridges, Lisa J.; Rinehart, Cheryl S.; Sorongon, Alberto G. – Applied Developmental Science, 2004
In an attempt to devise a methodology for characterizing children's intuitive theories of drug action, 217 children in Grades 1 to 6 were interviewed about how two substances, alcohol and cocaine, cause behavioral changes in their users. Measures tapped both structure (Piagetian complexity of causal reasoning, coherence, and construction of a…
Descriptors: Cocaine, Drug Abuse, Interviews, Childhood Attitudes