Effect Sizes in Single-Case Aphasia Studies: A Comparative, Autocorrelation-Oriented Analysis
Saved in:
| Title: | Effect Sizes in Single-Case Aphasia Studies: A Comparative, Autocorrelation-Oriented Analysis |
|---|---|
| Language: | English |
| Authors: | Archer, Brent, Azios, Jamie H., Müller, Nicole, Macatangay, Lauren |
| Source: | Journal of Speech, Language, and Hearing Research. Jul 2019 62(7):2473-2482. |
| Availability: | American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org |
| Peer Reviewed: | Y |
| Page Count: | 10 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Effect Size, Aphasia, Correlation, Comparative Analysis, Intervention, Case Studies |
| DOI: | 10.1044/2019_JSLHR-L-18-0186 |
| ISSN: | 1092-4388 |
| Abstract: | Purpose: In single-case treatment studies, researchers may compare client performance during a baseline, nontreatment phase(s) to client performance during intervention phases. Autocorrelation in the data series gathered during such studies increases the likelihood that analysts will detect or fail to detect meaningful differences between baseline and treatment phase data. We examined the impact that autocorrelation has on 4 effect size calculation methods when these methods are applied to data generated by people with aphasia during anomia treatment studies. The effect sizes we selected were Busk and Serlin's d, Young's C, nonoverlap of all pairs, and Tau-U. We hypothesized that d and C would be influenced by autocorrelation, whereas nonoverlap of all pairs and Tau-U would not. Method: We extracted 173 highly autocorrelated data series from published investigations of treatments for anomia. These data series were then "cleansed" of autocorrelation through the use of an autoregressive integrated moving average (ARIMA) process. The 4 effect size calculation methods were used to derive an effect size for each published and each corresponding ARIMA-tized data series. The published and ARIMA-tized effect sizes associated with each calculation method were then compared. Results: For all of the 4 effect sizes, statistically significant differences existed between the published effect sizes and the ARIMA-tized effect sizes. Conclusions: All 4 of the methods were influenced by autocorrelation. Further research that develops effect size calculation methods that are not influenced by autocorrelation will help to improve the quality of single-case studies. |
| Abstractor: | As Provided |
| Entry Date: | 2019 |
| Accession Number: | EJ1222453 |
| Database: | ERIC |
| FullText | Links: – Type: pdflink Url: https://content.ebscohost.com/cds/retrieve?content=AQICAHj0k_4E0hTGH8RJwT4gCJyBsGNe_WN95AvKlDbXJGqwxwG94RSLayaGfGqYT5hlzVdSAAAA4jCB3wYJKoZIhvcNAQcGoIHRMIHOAgEAMIHIBgkqhkiG9w0BBwEwHgYJYIZIAWUDBAEuMBEEDFijmA1NlTPVev70ugIBEICBmk_A9mVefNoZ2JqprtmYsY5y5LydCjPGGS49n7TnGAAuynr-GsSNewLw8hY02xwXO4MlBwcjOXoaXCigMj743SF4XSbaDY-EOghlFsNBTCkty1pHA5Pkno6qUHWhy_wO4454tP89P52xp_UhZIc_FD9P1Z-qyEoZ2PmdcI1yVeqW7kO-UZn7ASP24P-1IxOAiP7N_ydpHhRV_Ik= Text: Availability: 0 |
|---|---|
| Header | DbId: eric DbLabel: ERIC An: EJ1222453 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Effect Sizes in Single-Case Aphasia Studies: A Comparative, Autocorrelation-Oriented Analysis – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Archer%2C+Brent%22">Archer, Brent</searchLink><br /><searchLink fieldCode="AR" term="%22Azios%2C+Jamie+H%2E%22">Azios, Jamie H.</searchLink><br /><searchLink fieldCode="AR" term="%22Müller%2C+Nicole%22">Müller, Nicole</searchLink><br /><searchLink fieldCode="AR" term="%22Macatangay%2C+Lauren%22">Macatangay, Lauren</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Journal+of+Speech%2C+Language%2C+and+Hearing+Research%22"><i>Journal of Speech, Language, and Hearing Research</i></searchLink>. Jul 2019 62(7):2473-2482. – Name: Avail Label: Availability Group: Avail Data: American Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: Y – Name: Pages Label: Page Count Group: Src Data: 10 – Name: DatePubCY Label: Publication Date Group: Date Data: 2019 – Name: TypeDocument Label: Document Type Group: TypDoc Data: Journal Articles<br />Reports - Research – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Effect+Size%22">Effect Size</searchLink><br /><searchLink fieldCode="DE" term="%22Aphasia%22">Aphasia</searchLink><br /><searchLink fieldCode="DE" term="%22Correlation%22">Correlation</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+Analysis%22">Comparative Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Case+Studies%22">Case Studies</searchLink> – Name: DOI Label: DOI Group: ID Data: 10.1044/2019_JSLHR-L-18-0186 – Name: ISSN Label: ISSN Group: ISSN Data: 1092-4388 – Name: Abstract Label: Abstract Group: Ab Data: Purpose: In single-case treatment studies, researchers may compare client performance during a baseline, nontreatment phase(s) to client performance during intervention phases. Autocorrelation in the data series gathered during such studies increases the likelihood that analysts will detect or fail to detect meaningful differences between baseline and treatment phase data. We examined the impact that autocorrelation has on 4 effect size calculation methods when these methods are applied to data generated by people with aphasia during anomia treatment studies. The effect sizes we selected were Busk and Serlin's d, Young's C, nonoverlap of all pairs, and Tau-U. We hypothesized that d and C would be influenced by autocorrelation, whereas nonoverlap of all pairs and Tau-U would not. Method: We extracted 173 highly autocorrelated data series from published investigations of treatments for anomia. These data series were then "cleansed" of autocorrelation through the use of an autoregressive integrated moving average (ARIMA) process. The 4 effect size calculation methods were used to derive an effect size for each published and each corresponding ARIMA-tized data series. The published and ARIMA-tized effect sizes associated with each calculation method were then compared. Results: For all of the 4 effect sizes, statistically significant differences existed between the published effect sizes and the ARIMA-tized effect sizes. Conclusions: All 4 of the methods were influenced by autocorrelation. Further research that develops effect size calculation methods that are not influenced by autocorrelation will help to improve the quality of single-case studies. – Name: AbstractInfo Label: Abstractor Group: Ab Data: As Provided – Name: DateEntry Label: Entry Date Group: Date Data: 2019 – Name: AN Label: Accession Number Group: ID Data: EJ1222453 |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1222453 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1044/2019_JSLHR-L-18-0186 Languages: – Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 2473 Subjects: – SubjectFull: Effect Size Type: general – SubjectFull: Aphasia Type: general – SubjectFull: Correlation Type: general – SubjectFull: Comparative Analysis Type: general – SubjectFull: Intervention Type: general – SubjectFull: Case Studies Type: general Titles: – TitleFull: Effect Sizes in Single-Case Aphasia Studies: A Comparative, Autocorrelation-Oriented Analysis Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Archer, Brent – PersonEntity: Name: NameFull: Azios, Jamie H. – PersonEntity: Name: NameFull: Müller, Nicole – PersonEntity: Name: NameFull: Macatangay, Lauren IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 1092-4388 Numbering: – Type: volume Value: 62 – Type: issue Value: 7 Titles: – TitleFull: Journal of Speech, Language, and Hearing Research Type: main |
| ResultId | 1 |
