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Meta-Analysis of Single-Case Data: A...

Owens, Corina M.

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Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model./
作者:	Owens, Corina M.
面頁冊數:	219 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .
Contained By:	Dissertation Abstracts International72-06A.
標題:	Education, Evaluation. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449468
ISBN:	9781124565767

Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model.
Owens, Corina M.

Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model. - 219 p.

Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .

Thesis (Ph.D.)--University of South Florida, 2011.

Numerous ways to meta-analyze single-case data have been proposed in the literature, however, consensus on the most appropriate method has not been reached. One method that has been proposed involves multilevel modeling. This study used Monte Carlo methods to examine the appropriateness of Van den Noortgate and Onghena's (2008) raw data multilevel modeling approach to the meta-analysis of single-case data. Specifically, the study examined the fixed effects (i.e., the overall average baseline level and the overall average treatment effect) and the variance components (e.g., the between person within study variance in the average baseline level, the between study variance in the overall average baseline level, the between person within study variance in the average treatment effect) in a three level multilevel model (repeated observations nested within individuals nested within studies). More specifically, bias of point estimates, confidence interval coverage rates, and interval widths were examined as a function of specific design and data factors. Factors investigated included (a) number of primary studies per meta-analysis, (b) modal number of participants per primary study, (c) modal series length per primary study, (d) level of autocorrelation, and (3) variances of the error terms. The results of this study suggest that the degree to which the findings of this study are supportive of using Van den Noortgate and Onghena's (2008) raw data multilevel modeling approach to meta-analyzing single-case data depends on the particular effect of interest. Estimates of the fixed effects tended to be unbiased and produced confidence intervals that tended to overcover but came close to the nominal level as level-3 sample size increased. Conversely, estimates of the variance components tended to be biased and the confidence intervals for those estimates were inaccurate.

ISBN: 9781124565767Subjects--Topical Terms:

1669638
Education, Evaluation.

Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model.
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