Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Gregoire J (2007) L’examen clinique de l’intelligence de l’enfant: Fondements et pratique du WISC-IV. Gill DJ, Freshman A, Blender JA, Ravina B (2008) The Montreal Cognitive Assessment as a screening tool for cognitive impairment in Parkinson’s disease. n✡, p 55įolstein M, Folstein S, McHugh P (1975) Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. Braga: Psiquilibrios Ediçõesĭuro D, Ponciano E, Simões MR, Santana I (2008) Avaliação da capacidade preditiva do Montreal Cognitive Assessment (MoCA) no defeito cognitivo, numa consulta de memória. Actas: XIII Conferência Internacional de Avaliação Psicológica: Formas e Contextos. Masters Thesis in Clinical Geropsychology, Faculty of Psychology and Educational Sciences, Coimbraĭuro D, Ponciano E, Santana I, Simões MR (2008) Estudos de validação com a versão experimental do Montreal Cognitive Assessment (MoCA): Resultados no âmbito da Análise Factorial Confirmatória. Educ Psychol Meas 58(5):754–767ĭuro D (2008) Montreal Cognitive Assessment (MoCA): psychometric properties and diagnostic capacity in a memory consult setting. Neuropsychologia 44:1663–1673Ĭramer KM (1998) Analysis and comparison of WISC-III weighted sum score factor models using two independent samples. Ann Math Stat 23:315–345Ĭools R, Altamirano L, D’Esposito M (2006) Reversal learning in Parkinson’s disease depends on medication status and outcome valence. Sage Publications, London, pp 399–402Ĭochran WG (1952) The χ 2 test of goodness of fit. In: Fernández-Ballesteros R (ed) Encyclopedia of psychological assessment, vol 1. Guilford, New Yorkīyrne B (2003) Factor analysis: confirmatory. Master Thesis, Psychologie, Faculteit der Sociale Wetenschappen, Universiteit Leidenīrown TA (2006) Confirmatory factor analysis for applied research. A comparison with the MMSE in mild cognitive impaired (MCI) patients. Psychol Bull 88:588–606īleecke MJ, de Jongue JFM, Oremus M, Boelaarts M (2006) Psychometric properties of the Montreal Cognitive Assessment Dutch version (MoCA-D). Amos Development Corporationīentler PM, Bonett DG (1980) Significance tests and goodness of fit in the analysis of covariance structures. American Psychiatric Association, Washington, DCĪrbuckle JL (2005) Amos TM 6.0 user’s guide. The practical implications of this CFA study allow us to propose a two factor model factorial structure for the MoCA: a first factor designated MEMORY, which includes memory, language and orientation subtests (the latter being closely correlated with the former), and a second factor designated ATTENTION/EXECUTIVE FUNCTIONS, comprised of attention, executive functions and visuospacial abilities tasks.Īmerican Psychiatric Association (2000) Diagnostic and statistical manual of mental disorders (DSM-IV-TR) 4th edn text revised. By using the parcels method, CFA results showed very good/excellent adjustment indexes. In a clinical population, the MoCA is a valid and reliable instrument with good psychometric properties, revealing high sensitivity in identifying MCI and dementia patients who generally score within the normal range on the MMSE. Additionally, we performed a Confirmatory Factor Analysis (CFA) to assess the MoCA’s latent factorial structure. In this study we performed an analysis of the psychometric and diagnostic properties of the Portuguese experimental version of the MoCA in a clinical sample of 212 subjects with MCI and several dementia subtypes in a memory clinic setting. The MoCA evaluates more cognitive areas and is comprised of more complex tasks as compared with the MMSE, which makes it a more sensitive instrument in the detection of Mild Cognitive Impairment (MCI), a state that often progresses to dementia. The Montreal Cognitive Assessment (MoCA) is a cognitive screening instrument created with the purpose of overcoming some of the insufficiencies of the Mini-Mental State Examination (MMSE).
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