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Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
Shi, Dingjing; Tong, Xin – Sociological Methods & Research, 2022
This study proposes a two-stage causal modeling with instrumental variables to mitigate selection bias, provide correct standard error estimates, and address nonnormal and missing data issues simultaneously. Bayesian methods are used for model estimation. Robust methods with Student's "t" distributions are used to account for nonnormal…
Descriptors: Bayesian Statistics, Monte Carlo Methods, Computer Software, Causal Models
Weiland, Ingrid; Sheffield, Caroline – Science and Children, 2013
The authors open this article with a description of an incident that happened in 1992, when 28,800 rubber bath toys (i.e., ducks, frogs, turtles, and beavers) fell off a cargo ship in the middle of the Pacific Ocean. In 2009, these rubber bath toys were still washing ashore on beaches all around the world. This science instruction can be used with…
Descriptors: Science Instruction, Critical Thinking, Scientific Concepts, Environmental Education
Dempsey, Lynn; Skarakis-Doyle, Elizabeth – Journal of Communication Disorders, 2010
The conceptual framework of the World Health Organization's International Classification of Functioning, Disability and Health (ICF) has the potential to advance understanding of developmental language impairment (LI) and enhance clinical practice. The framework provides a systematic way of unifying numerous lines of research, which have linked a…
Descriptors: Speech Language Pathology, Classification, Language Impairments, Communication Disorders
Shin, Yongyun – Journal of Educational and Behavioral Statistics, 2012
Does reduced class size cause higher academic achievement for both Black and other students in reading, mathematics, listening, and word recognition skills? Do Black students benefit more than other students from reduced class size? Does the magnitude of the minority advantages vary significantly across schools? This article addresses the causal…
Descriptors: African American Students, Class Size, Recognition (Achievement), Causal Models
Cohen, David K.; Raudenbush, Stephen W.; Ball, Deborah Loewenberg – Educational Evaluation and Policy Analysis, 2003
Many researchers who study the relations between school resources and student achievement have worked from a causal model, which typically is implicit. In this model, some resource or set of resources is the causal variable and student achievement is the outcome. In a few recent, more nuanced versions, resource effects depend on intervening…
Descriptors: Causal Models, Academic Achievement, Instructional Systems, Educational Research