Literature DB >> 19832901

Should the SCOPA-COG be modified? A Rasch analysis perspective.

M J Forjaz1, B Frades-Payo, C Rodriguez-Blazquez, A Ayala, P Martinez-Martin.   

Abstract

BACKGROUND AND
PURPOSE: The SCales for Outcomes in PArkinson's disease-Cognition (SCOPA-COG) is a specific measure of cognitive function for Parkinson's disease (PD) patients. Previous studies, under the frame of the classic test theory, indicate satisfactory psychometric properties. The Rasch model, an item response theory approach, provides new information about the scale, as well as results in a linear scale. This study aims at analysing the SCOPA-COG according to the Rasch model and, on the basis of results, suggesting modification to the SCOPA-COG.
METHOD: Fit to the Rasch model was analysed using a sample of 384 PD patients.
RESULTS: A good fit was obtained after rescoring for disordered thresholds. The person separation index, a reliability measure, was 0.83. Differential item functioning was observed by age for three items and by gender for one item.
CONCLUSIONS: The SCOPA-COG is a unidimensional measure of global cognitive function in PD patients, with good scale targeting and no empirical evidence for use of the subscale scores. Its adequate reliability and internal construct validity were supported. The SCOPA-COG, with the proposed scoring scheme, generates true linear interval scores.

Entities:  

Mesh:

Year:  2009        PMID: 19832901     DOI: 10.1111/j.1468-1331.2009.02791.x

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  3 in total

1.  Psychometric properties of the Italian version of the Scales for Outcomes in Parkinson's disease- Cognition (SCOPA-Cog).

Authors:  V Isella; C Mapelli; N Morielli; D De Gaspari; C Siri; G Pezzoli; A Antonini; M Poletti; U Bonuccelli; L Picchi; A Napolitano; M Vista; M Veglia; F Piamarta; F Grassi; I M Appollonio
Journal:  Funct Neurol       Date:  2013 Apr-May

2.  A psychometric evaluation of the Arm Motor Ability Test.

Authors:  Michael W O'Dell; Grace Kim; Lisa Rivera; Robert Fieo; Paul Christos; Caitlin Polistena; Kerri Fitzgerald; Delia Gorga
Journal:  J Rehabil Med       Date:  2013-06       Impact factor: 2.912

3.  Quantifying cognition at the bedside: a novel approach combining cognitive symptoms and signs in HIV.

Authors:  Marie-Josée Brouillette; Lesley K Fellows; Lisa Palladini; Lois Finch; Réjean Thomas; Nancy E Mayo
Journal:  BMC Neurol       Date:  2015-11-13       Impact factor: 2.474

  3 in total

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