2012
DOI: 10.1682/jrrd.2010.12.0242
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Small N designs for rehabilitation research

Abstract: Abstract-Rehabilitation research presents unique and challenging problems to investigators during both the design and analysis periods. Statistical issues regarding sample size requirements for an adequately powered study may be in direct conflict with realistic recruitment and subject retention goals. Issues of underpowered studies, sample size requirements, and recruitment goals plague rehabilitation research. Randomized clinical trials (RCTs) are typically narrow in scope and thus lack generalizability to e… Show more

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Cited by 46 publications
(27 citation statements)
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“…Although small samples may limit generalizability of the study findings, small samples are common in rehabilitation research [106]. This is especially true in studies related to advanced prosthetic components in which the cost of purchasing components for large numbers of participants can be prohibitive.…”
Section: Limitationsmentioning
confidence: 99%
“…Although small samples may limit generalizability of the study findings, small samples are common in rehabilitation research [106]. This is especially true in studies related to advanced prosthetic components in which the cost of purchasing components for large numbers of participants can be prohibitive.…”
Section: Limitationsmentioning
confidence: 99%
“…To more comprehensively understand the complexities of disabling injuries in children, there has been a call for action to more robustly collect essential pediatric trauma outcomes data through multicenter research networks, 49 in addition to suggestions for useful standardized outcome measures, 50-52 rehabilitation quality of care measures, 53 and rehabilitation research design strategies. 54 …”
Section: Discussionmentioning
confidence: 99%
“…Often, blinding is not possible in clinical trials on technology. Although research methods exist to accommodate the challenges of small sample size, additional research is needed in the statistical methodology for alternative study designs that do not rely on large sample sizes [152]. Examples of these approaches are n of 1 studies and use of quasi-experimental designs.…”
Section: Discussionmentioning
confidence: 99%