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Steven Glazerman; Larissa Campuzano; Nancy Murray – Evaluation Review, 2025
Randomized experiments involving education interventions are typically implemented as cluster randomized trials, with schools serving as clusters. To design such a study, it is critical to understand the degree to which learning outcomes vary between versus within clusters (schools), specifically the intraclass correlation coefficient. It is also…
Descriptors: Educational Experiments, Foreign Countries, Educational Assessment, Research Design
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Graham, John W.; And Others – Evaluation Review, 1984
A method is presented that allows multivariate comparability while making only minimal restrictions on randomization. This procedure is demonstrated in the context of assigning 63 aggregated units (schools) to 28 experimental and control conditions. Good comparability of groups for all primary main effects and interactions was verified for 15…
Descriptors: Drug Abuse, Evaluation Methods, Factor Analysis, Multivariate Analysis
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Horn, Wade F. – Evaluation Review, 1982
In an overview of single-case methodology, the potential utility of A-B-A and multiple baseline designs for evaluating social programs is discussed. Validity factors and cost-effectiveness are considered, showing that these designs are viable alternative methods where traditional randomized group designs are infeasible. (Author/CM)
Descriptors: Case Studies, Cost Effectiveness, Multivariate Analysis, Program Evaluation
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Algina, James; Olejnik, Stephen F. – Evaluation Review, 1982
A method is presented for analyzing data collected in a multiple group time-series design. This consists of testing linear hypotheses about the experimental and control group-means. Both a multivariate and a univariate procedure are described. (Author/GK)
Descriptors: Control Groups, Data Analysis, Evaluation Methods, Experimental Groups