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Wei Li; Walter Leite; Jia Quan – Society for Research on Educational Effectiveness, 2023
Background: Multilevel randomized controlled trials (MRCTs) have been widely used to evaluate the causal effects of educational interventions. Traditionally, educational researchers and policymakers focused on the average treatment effects (ATE) of the intervention. Recently there has been an increasing interest in evaluating the heterogeneity of…
Descriptors: Artificial Intelligence, Identification, Hierarchical Linear Modeling, Randomized Controlled Trials
Camburn, Eric M.; Han, Seong Won; Sebastian, James – Educational Policy, 2017
Surveys are frequently used to inform consequential decisions about teachers, policies, and programs. Consequently, it is important to understand the validity of these instruments. This study assesses the validity of measures of instruction captured by an annual survey by comparing survey data with those of a validated daily log. The two…
Descriptors: Validity, Literacy, Teacher Surveys, Institutional Characteristics
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Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
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Castellano, Katherine E.; Rabe-Hesketh, Sophia; Skrondal, Anders – Journal of Educational and Behavioral Statistics, 2014
Investigations of the effects of schools (or teachers) on student achievement focus on either (1) individual school effects, such as value-added analyses, or (2) school-type effects, such as comparisons of charter and public schools. Controlling for school composition by including student covariates is critical for valid estimation of either kind…
Descriptors: Hierarchical Linear Modeling, Context Effect, Economics, Educational Research
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Clarke, Paul; Crawford, Claire; Steele, Fiona; Vignoles, Anna – Education Economics, 2015
The use of fixed (FE) and random effects (RE) in two-level hierarchical linear regression is discussed in the context of education research. We compare the robustness of FE models with the modelling flexibility and potential efficiency of those from RE models. We argue that the two should be seen as complementary approaches. We then compare both…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Comparative Analysis
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Jacob, Robin T.; Goddard, Roger D.; Kim, Eun Sook – Educational Evaluation and Policy Analysis, 2014
It is often difficult and costly to obtain individual-level student achievement data, yet, researchers are frequently reluctant to use school-level achievement data that are widely available from state websites. We argue that public-use aggregate school-level achievement data are, in fact, sufficient to address a wide range of evaluation questions…
Descriptors: Academic Achievement, Data, Information Utilization, Educational Assessment
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Rhoads, Christopher – Journal of Research on Educational Effectiveness, 2016
Experimental evaluations that involve the educational system usually involve a hierarchical structure (students are nested within classrooms that are nested within schools, etc.). Concerns about contamination, where research subjects receive certain features of an intervention intended for subjects in a different experimental group, have often led…
Descriptors: Educational Experiments, Error of Measurement, Research Design, Statistical Analysis
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Azigwe, John Bosco – Journal of Education and Practice, 2016
International surveys of student achievement are becoming increasingly popular with governments around the world, as they try to measure the performance of their country's education system. The main reason for this trend is the shared opinion that countries will need to be able to compete in the "knowledge economy" to assure the economic…
Descriptors: Achievement Tests, Foreign Countries, International Assessment, Secondary School Students
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Svihla, Vanessa; Wester, Michael J.; Linn, Marcia C. – Journal of Learning Analytics, 2015
Designing learning experiences that support the development of coherent understanding of complex scientific phenomena is challenging. We sought to identify analytics that can also guide such designs to support retention of coherent understanding. Based on prior research that distributing study of material over time supports retention, we explored…
Descriptors: Science Education, Pretests Posttests, Inquiry, Multiple Regression Analysis
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Bowman, Nicholas A.; Park, Julie J. – Journal of Higher Education, 2014
Research on diversity in higher education has evolved to consider the nature of interracial contact and campus climate as well as the factors that may foster meaningful interactions. While some studies have explored predictors of cross-racial interaction (CRI) and interracial friendship (IRF), it remains unclear whether and how the same precollege…
Descriptors: Racial Relations, Comparative Analysis, Prediction, Race
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Henry, Gary T.; Purtell, Kelly M.; Bastian, Kevin C.; Fortner, C. Kevin; Thompson, Charles L.; Campbell, Shanyce L.; Patterson, Kristina M. – Journal of Teacher Education, 2014
The current teacher workforce is younger, less experienced, more likely to turnover, and more diverse in preparation experiences than the workforce of two decades ago. Research shows that inexperienced teachers are less effective, but we know little about the effectiveness of teachers with different types of preparation. In this study, we classify…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Teacher Education, Achievement Gains
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Taylor, Joseph; Kowalski, Susan; Getty, Stephen; Wilson, Christopher; Carlson, Janet – Society for Research on Educational Effectiveness, 2013
Effective instructional materials can be valuable interventions to improve student interest and achievement in science (National Research Council [NRC], 2007); yet, analyses indicate that many science instructional materials and curricula are fragmented, lack coherence, and are not carefully articulated through a sequence of grade levels (AAAS,…
Descriptors: Instructional Materials, Student Interests, Science Achievement, Secondary School Science
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Vaughn, Brandon K.; Wang, Qui – Journal on Educational Psychology, 2009
Many areas in educational and psychological research involve the use of classification statistical analysis. For example, school districts might be interested in attaining variables that provide optimal prediction of school dropouts. In psychology, a researcher might be interested in the classification of a subject into a particular psychological…
Descriptors: Classification, Hierarchical Linear Modeling, Foreign Countries, School Districts