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Kelcey, Ben – Society for Research on Educational Effectiveness, 2014
A common design in education research for interventions operating at a group or cluster level is a cluster randomized trial (CRT) (Bloom, 2005). In CRTs, intact clusters (e.g., schools) are assigned to treatment conditions rather than individuals (e.g., students) and are frequently an effective way to study interventions because they permit…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
Rhoads, Christopher; Dye, Charles – Society for Research on Educational Effectiveness, 2014
Recent years have seen an increased interest in quantitative educational research studies that use random assignment (RA) to evaluate the causal impacts of educational interventions (Angrist, 2004). The multi-level structure of the public education system in the United States often leads to experimental designs where naturally occurring clusters…
Descriptors: Regression (Statistics), Cluster Grouping, Educational Research, Sample Size
Drechsler, Jörg – Journal of Educational and Behavioral Statistics, 2015
Multiple imputation is widely accepted as the method of choice to address item-nonresponse in surveys. However, research on imputation strategies for the hierarchical structures that are typically found in the data in educational contexts is still limited. While a multilevel imputation model should be preferred from a theoretical point of view if…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Educational Research, Statistical Bias
Lohr, Sharon; Schochet, Peter Z.; Sanders, Elizabeth – National Center for Education Research, 2014
Suppose an education researcher wants to test the impact of a high school drop-out prevention intervention in which at-risk students attend classes to receive intensive summer school instruction. The district will allow the researcher to randomly assign students to the treatment classes or to the control group. Half of the students (the treatment…
Descriptors: Educational Research, Research Design, Data Analysis, Intervention
Dong, Nianbo – Society for Research on Educational Effectiveness, 2014
For intervention studies involving binary treatment variables, procedures for power analysis have been worked out and computerized estimation tools are generally available. The purpose of this study is to: (1) develop the statistical formulations for calculating statistical power, minimum detectable effect size (MDES) and its confidence interval,…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
Spybrook, Jessaca; Kelcey, Ben – Society for Research on Educational Effectiveness, 2014
Cluster randomized trials (CRTs), or studies in which intact groups of individuals are randomly assigned to a condition, are becoming more common in the evaluation of educational programs, policies, and practices. The website for the National Center for Education Evaluation and Regional Assistance (NCEE) reveals they have launched over 30…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
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
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data

Krippendorff, Klaus – 1977
Clustering techniques seek to group together objects or variables that share some observed qualities or, alternatively, to partition a set of objects or variables into mutually exclusive classes whose boundaries reflect differences in the observed qualities of their members. This paper reviews the general principles underlying clustering…
Descriptors: Classification, Cluster Analysis, Cluster Grouping, Communication (Thought Transfer)
McRae, Douglas J. – 1971
Procedures for grouping students into homogeneous subsets have long interested educational researchers. The research reported in this paper is an investigation of a set of objective grouping procedures based on multivariate analysis considerations. Four multivariate functions that might serve as criteria for adequate grouping are given and…
Descriptors: Ability Grouping, Algorithms, Cluster Grouping, Criterion Referenced Tests
Miller, LaMar P.; Sommerfeld, Donald A. – 1970
This paper focuses on the use of the variable race in educational research. Researchers are clearly considered to have the right to choose their variables. But, the use of race in a nonscholarly fashion is held to be professionally inadequate and often detrimental to black Americans. For years, researchers using race to make comparison s between…
Descriptors: Analysis of Variance, Black Students, Cluster Grouping, Disadvantaged Youth
Rhodes, Albert Lewis – 1968
This study was designed to examine the relationship between an adolescent's educational plans as reported by the adolescent himself and his mother's educational expectations for him as reported by her. The data were obtained in a previous study, a survey including a multistage, cluster sample of some 7,000 cases representing 13,484,000 public and…
Descriptors: Academic Aspiration, Adolescents, Blacks, Cluster Grouping