Comparing a single case to a control sample: Testing for neuropsychological deficits and dissociations in the presence of covariates.
Existing inferential methods of testing for a deficit or dissociation in the single case are extended to allow researchers to control for the effects of covariates. The new (Bayesian) methods provide a significance test, point and interval estimates of the effect size for the difference between the...
| Publicado en: | Cortex: A Journal Devoted to the Study of the Nervous System & Behavior Vol. 47; no. 10; pp. 1166 - 1179 |
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| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Masson SPA
2011 Nov
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=108197140&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 108197140 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00109452 GMP jtl: Cortex: A Journal Devoted to the Study of the Nervous System & Behavior issn: 00109452 maglogo: N pubinfo: dt: 2011 Nov vid: 47 iid: 10 pid: 12473 pub: Masson SPA artinfo: ui: 108197140 108197140 2011320229 NLM21458788 108197140 ppf: 1166 ppct: 13 formats: tig: atl: Comparing a single case to a control sample: Testing for neuropsychological deficits and dissociations in the presence of covariates. aug: au: Crawford JR Garthwaite PH Ryan K affil: School of Psychology, University of Aberdeen, UK. sug: subj: Probability Case Control Studies Dissociative Disorders Diagnosis Nervous System Diseases Diagnosis Neuropsychology Methods Algorithms Data Analysis, Statistical Dissociative Disorders Psychosocial Factors Human Models, Statistical Multivariate Analysis Nervous System Diseases Psychosocial Factors Software ab: Existing inferential methods of testing for a deficit or dissociation in the single case are extended to allow researchers to control for the effects of covariates. The new (Bayesian) methods provide a significance test, point and interval estimates of the effect size for the difference between the case and controls, and point and interval estimates of the abnormality of a case's score, or standardized score difference. The methods have a wide range of potential applications, e.g., they can provide a means of increasing the statistical power to detect deficits or dissociations, or can be used to test whether differences between a case and controls survive partialling out the effects of potential confounding variables. The methods are implemented in a series of computer programs for PCs (these can be downloaded from www.abdn.ac.uk/~psy086/dept/Single_Case_Covariates.htm). Illustrative examples of the methods are provided. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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