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Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs./
作者:	Tarlow, Kevin R.
面頁冊數:	1 online resource (173 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
Contained By:	Dissertation Abstracts International79-08B(E).
標題:	Clinical psychology. -
電子資源:	click for full text (PQDT)
ISBN:	9780355789898

Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs.
Tarlow, Kevin R.

Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs. - 1 online resource (173 pages)

Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.

Thesis (Ph.D.)--Texas A&M University, 2017.

Includes bibliographical references

Single-case experimental designs remain outside of mainstream methodology despite their substantial contributions to our understanding of human behavior. An obstacle to wider adoption is the lack of consensus regarding the analysis and meta-analysis of single-case data. Many single-case statistical methods have been proposed; nearly all are limited by the incompleteness of their models or their lack of formal statistical development, both limitations that inhibit research synthesis and knowledge building.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355789898Subjects--Topical Terms:

649607
Clinical psychology.
Index Terms--Genre/Form:

554714
Electronic books.

Simulation Analysis and Meta-Analysis of Single-Case Experimental Designs.
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500 $a Source: Dissertation Abstracts International, Volume: 79-08(E), Section: B.
500 $a Adviser: Daniel F. Brossart.
502 $a Thesis (Ph.D.)--Texas A&M University, 2017.
504 $a Includes bibliographical references
520 $a Single-case experimental designs remain outside of mainstream methodology despite their substantial contributions to our understanding of human behavior. An obstacle to wider adoption is the lack of consensus regarding the analysis and meta-analysis of single-case data. Many single-case statistical methods have been proposed; nearly all are limited by the incompleteness of their models or their lack of formal statistical development, both limitations that inhibit research synthesis and knowledge building.
520 $a This dissertation, presented in three manuscripts, introduces a simulation-based method of analysis and meta-analysis for single-case experimental designs. Interrupted Times-Series Simulation (ITSSIM) estimates treatment effect sizes by modeling level, trend, variance, and autocorrelation parameters. Parameter estimates are naturally imprecise in brief time-series. ITSSIM compensates for this imprecision by using an iterative procedure to model many plausible parameter values given the observed data. ITSSIM calculates an effect size by comparing a distribution of plausible "null effects"---the no-treatment predictions based on baseline data---to a distribution of plausible treatment effects. ITSSIM effect size estimates, reported as correlation coefficients, standardized mean differences, or unstandardized effects, are interpretable for both clinical practice and quantitative research synthesis.
520 $a Three studies provide evidence for the content validity, construct validity, and criterion validity of ITSSIM effect size estimates using theoretical, comparative, and deductive strategies, respectively. The first study establishes the theoretical rationale for single-case simulation methods generally, and ITSSIM specifically. ITSSIM produced effect size estimates comparable to five sophisticated multilevel methods when a study of disruptive classroom behavior was reanalyzed. In the second study, ITSSIM produced mean effect size estimates consistent with similar meta-analyses of group-design research. The third study field tests a new software tool for simulation research of single-case statistics. ITSSIM performed reliably under a variety of simulation conditions, controlling for baseline trend and autocorrelation.
520 $a The results from these three studies indicate that ITSSIM is a powerful, comprehensive method for analysis and meta-analysis of single-case experimental designs. ITSSIM effect size estimates are consistent with other, previously published single-case statistics, and it yields reasonable results even under extreme simulation conditions. ITSSIM is recommended to single-case investigators who wish to better understand their single-case data and treatment effects.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Clinical psychology. $3 649607
650 4 $a Behavioral psychology. $3 1179418
650 4 $a Statistics. $3 556824
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0384
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710 2 $a Texas A&M University. $b Educational Psychology. $3 1186416
773 0 $t Dissertation Abstracts International $g 79-08B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10800932 $z click for full text (PQDT)