東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

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

Owens, Corina M.

Linked to FindBook

Google Book

Amazon

博客來

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model./
Author:	Owens, Corina M.
Description:	219 p.
Notes:	Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .
Contained By:	Dissertation Abstracts International72-06A.
Subject:	Education, Evaluation. -
Online resource:	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.
LDR:02952nam 2200313 4500 001 1402506
005 20111102140016.5
008 130515s2011 ||||||||||||||||| ||eng d
020 $a 9781124565767
035 $a (UMI)AAI3449468
035 $a AAI3449468
040 $a UMI $c UMI
100 1 $a Owens, Corina M. $3 1681699
245 1 0 $a Meta-Analysis of Single-Case Data: A Monte Carlo Investigation of a Three Level Model.
300 $a 219 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-06, Section: A, page: .
500 $a Adviser: John M. Ferron.
502 $a Thesis (Ph.D.)--University of South Florida, 2011.
520 $a 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.
590 $a School code: 0206.
650 4 $a Education, Evaluation. $3 1669638
650 4 $a Statistics. $3 517247
690 $a 0443
690 $a 0463
710 2 $a University of South Florida. $b Educational Measurement and Research. $3 1681700
773 0 $t Dissertation Abstracts International $g 72-06A.
790 1 0 $a Ferron, John M., $e advisor
790 1 0 $a Dedrick, Robert F. $e committee member
790 1 0 $a Rodriguez-Campos, Liliana $e committee member
790 1 0 $a Ogg, Julia $e committee member
790 $a 0206
791 $a Ph.D.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3449468