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Sarah E. Robertson; Jon A. Steingrimsson; Issa J. Dahabreh – Evaluation Review, 2024
When planning a cluster randomized trial, evaluators often have access to an enumerated cohort representing the target population of clusters. Practicalities of conducting the trial, such as the need to oversample clusters with certain characteristics in order to improve trial economy or support inferences about subgroups of clusters, may preclude…
Descriptors: Randomized Controlled Trials, Generalization, Inferences, Hierarchical Linear Modeling
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Hahs-Vaughn, Debbie L.; McWayne, Christine M.; Bulotsky-Shearer, Rebecca J.; Wen, Xiaoli; Faria, Ann-Marie – Evaluation Review, 2011
Complex survey data are collected by means other than simple random samples. This creates two analytical issues: nonindependence and unequal selection probability. Failing to address these issues results in underestimated standard errors and biased parameter estimates. Using data from the nationally representative Head Start Family and Child…
Descriptors: Research Methodology, Disadvantaged Youth, Probability, Early Intervention
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Berry, Brent – Evaluation Review, 2007
Risks of life on the street caused by inclement weather, harassment, and assault threaten the unsheltered homeless population. We address some challenges of enumerating the street homeless population by testing a novel capture-recapture (CR) estimation approach that models individuals' intermittent daytime visibility. We tested walking and…
Descriptors: Probability, Identification, Sampling, Homeless People
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Burnam, M. Audrey; Koegel, Paul – Evaluation Review, 1988
Drawing a probability sample of homeless adults in Los Angeles' Skid Row resulted in a sampling design meeting statistical criteria. The design uses data from meal centers, bed counts, and outdoor congregations; and allows unbiased estimates of prevalence of mental disorders and assessment of service needs of the homeless. (TJH)
Descriptors: Estimation (Mathematics), Homeless People, Inner City, Probability