Analyzing data from single case design studies: A demonstration and comparison of methods
by Kyse, Eden Nagler, Ph.D., CITY UNIVERSITY OF NEW YORK, 2010, 129 pages; 3426772

Abstract:

Data from single case and small-N interrupted time series (ITS) design studies offer rich information, not available from group comparison designs, about the effects of an intervention on individuals. Several methods for analyzing and synthesizing these kinds of data have been proposed to date, though many are limited or flawed. A more sophisticated statistical method, using multilevel modeling techniques, overcomes many of the limitations of the earlier approaches. This claim is supported by a comparative discussion and demonstration of several methods with two reversal design datasets. Procedures and estimates are explained, interpreted, and compared. Potential solutions for accommodating technical complexities of the data are discussed.

 
AdviserDavid Rindskopf
SchoolCITY UNIVERSITY OF NEW YORK
SourceDAI/A 71-12, p. , Nov 2010
Source TypeDissertation
SubjectsStatistics; Educational psychology; Quantitative psychology and psychometrics
Publication Number3426772
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