Analyzing data from single case design studies: A demonstration and comparison of methods
Item
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Title
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Analyzing data from single case design studies: A demonstration and comparison of methods
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Identifier
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d_2009_2013:8f4023e05a90:10615
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identifier
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10805
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Creator
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Kyse, Eden Nagler,
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Contributor
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David Rindskopf
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Date
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2010
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Language
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English
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Publisher
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City University of New York.
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Subject
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Educational psychology | Statistics | Quantitative psychology | Interrupted time series (ITS) | Multilevel modeling | Single case design
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Abstract
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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.
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Type
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dissertation
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Source
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2009_2013.csv
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degree
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Ph.D.
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Program
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Educational Psychology
