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dc.contributor.authorKonstantopoulos, Spyrosen
dc.date.accessioned2008-10-20-
dc.date.accessioned2010-07-07T11:52:09Z-
dc.date.available2010-07-07T11:52:09Z-
dc.date.issued2008-
dc.identifier.piurn:nbn:de:101:1-2008112623en
dc.identifier.urihttp://hdl.handle.net/10419/35462-
dc.description.abstractIn experimental designs with nested structures entire groups (such as schools) are often assigned to treatment conditions. Key aspects of the design in these cluster randomized experiments include knowledge of the intraclass correlation structure and the sample sizes necessary to achieve adequate power to detect the treatment effect. However, the units at each level of the hierarchy have a cost associated with them and thus researchers need to decide on sample sizes given a certain budget, when designing their studies. This paper provides methods for computing power within an optimal design framework (that incorporates costs of units in all three levels) for three-level cluster randomized balanced designs with two levels of nesting. The optimal sample sizes are a function of the variances at each level and the cost of each unit. Overall, larger effect sizes, smaller intraclass correlations at the second and third level, and lower cost of level-3 and level-2 units result in higher estimates of power.en
dc.language.isoengen
dc.publisher|aInstitute for the Study of Labor (IZA) |cBonnen
dc.relation.ispartofseries|aIZA Discussion Papers |x3753en
dc.subject.jelI20en
dc.subject.ddc330en
dc.subject.keywordExperimental designen
dc.subject.keywordstatistical poweren
dc.subject.keywordoptimal samplingen
dc.subject.stwTesten
dc.subject.stwKostenen
dc.subject.stwStichprobenverfahrenen
dc.subject.stwStatistischer Testen
dc.subject.stwBildungsforschungen
dc.titleIncorporating cost in power analysis for three-level cluster randomized designs-
dc.type|aWorking Paperen
dc.identifier.ppn582909295en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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