Publications
File:
fulltext
Available from:
2014-09-10 10:31:00
Author:
Vestergren, Peter (Umeå University, Faculty of Social Sciences, Department of applied educational science, Departement of Educational Measurement)
Rönnlund, Michael (Umeå University, Faculty of Social Sciences, Department of Psychology)
Nyberg, Lars (Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology) (Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB))
Nilsson, Lars-Göran (Department of Psychology, Stockholm University and Stockholm Brain Institute, Sweden)
Title:
Multigroup confirmatory factor analysis of the cognitive dysfunction questionnaire: instrument refinement and measurement invariance across age and sex
Department:
Umeå University, Faculty of Social Sciences, Department of applied educational science, Departement of Educational Measurement
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Diagnostic Radiology
Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB)
Umeå University, Faculty of Social Sciences, Department of Psychology
Publication type:
Article in journal (Refereed)
Language:
English
Publisher: Wiley-Blackwell
Status:
Published
In:
Scandinavian Journal of Psychology(ISSN 0036-5564)(EISSN 1467-9450)
Volume:
53
Issue:
5
Pages:
390-400
Year of publ.:
2012
URI:
urn:nbn:se:umu:diva-45671
Permanent link:
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-45671
PubMedID:
22962857
Subject category:
Other Social Sciences not elsewhere specified
SVEP category:
Other social sciences
Research subject:
didactics of educational measurement, Psychology
Keywords(en) :
Subjective memory, self-report measures, cognitive functioning, cognitive impairment
Abstract(en) :

The study adopted CFA to investigate the factorial structure and reduce the number of items of the Cognitive Dysfunction Questionnaire (CDQ; Vestergren, Rönnlund, Nyberg, & Nilsson, 2011). The analyses were based on data for a total of 1115 participants from population based samples (mean age: 63.0 ± 14.5 years, range: 25 - 95) randomly split into a refinement (n = 569) and a cross-validation (n = 546) sample. Equivalence of the measurement and structural portions of the refined model was demonstrated across the refinement and cross-validation samples. Among competing models the best fitting and parsimonious model had a hierarchical factor structure with five first-order and one second-order general factor. The final version of the CDQ consisted of 20 items in five domains (Procedural actions, Semantic word knowledge, Face recognition, Temporal orientation and Spatial navigation). Internal consistency reliabilities were adequate for the total scale and for the subscales. Multigroup CFAs were performed and the results indicate measurement invariance across age and sex up to the scalar level. Finally, higher levels of cognitive dysfunction as reflected by CDQ scores were observed with advancing age and with deficits in general cognitive functioning as reflected by scores on the Mini-Mental State Examination. In conclusion, adoption of the final version of the CDQ appears to be a way of measuring cognitive dysfunction without administering formal cognitive tests. Future studies should apply it among clinical groups to further test its usefulness.

Available from:
2011-08-22
Created:
2011-08-09
Last updated:
2012-11-09
Statistics:
66 hits