Ekvivalence alternativních verzí montrealského kognitivního testu

Translated title of the contribution: Equivalence of montreal cognitive assessment alternate forms

Ondřej Bezdíček, H. Georgi, E. Panenková, S. M. McClintock, T. Nikolai, E. Růžička, M. Kopeček

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Aim: The purpose of this study was to describe the psychometric properties of the Montreal Cognitive Assessment Czech version Standard form (MoCA-SF) and two Alternate Forms (MoCA-AF). There is limited information regarding the test-retest effect and the reliability of the MoCA. Methods: Seventy cognitively healthy subjects (mean age 50.33 ± 26.47) were assessed in one session with MoCA-SF and MoCA-AF (7.2 and 7.3) in a counterbalanced fashion. Results: There was no significant difference between the two MoCA forms (Standard vs. 7.3), MoCA-AF 7.2 being slightly more difficult than the latter. Furthermore, in depth, the exploratory analysis revealed differences between the subtests of the MoCA. However, based on the total score all versions showed sound convergent and discriminative validity. Conclusion: Our data suggest that the two MoCA-SF and MoCA-AF 7.3 forms are equivalent and useful for repeated administration to minimize the test-retest effect.

Translated title of the contributionEquivalence of montreal cognitive assessment alternate forms
Original languageCzech
Pages (from-to)332-340
Number of pages9
JournalCeska a Slovenska Neurologie a Neurochirurgie
Volume82
Issue number3
DOIs
StatePublished - Jan 1 2019

Keywords

  • Alternate forms
  • Equivalence
  • Internal consistency
  • Montreal Cognitive Assessment
  • Reliability

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

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  • Cite this

    Bezdíček, O., Georgi, H., Panenková, E., McClintock, S. M., Nikolai, T., Růžička, E., & Kopeček, M. (2019). Ekvivalence alternativních verzí montrealského kognitivního testu. Ceska a Slovenska Neurologie a Neurochirurgie, 82(3), 332-340. https://doi.org/10.14735/amcsnn2019332