Level of education and category fluency task among Spanish speaking elders: number of words, clustering, and switching strategies.
It has been well documented that education influences the individual's performance on category fluency tasks but it is still unclear how this effect may differ across the different types of category tasks (i.e., animals, fruits, vegetables and clothing). This study aims (1) to analyze the effect of the level of education on four different types of category fluency tasks among elder Hispanic Americans and (2) to provide normative information on a population with different education levels that was previously screened for neurological and psychiatric conditions. In addition this study examines the semantic strategies used by these individuals to complete the fluency tasks. The sample included 105 healthy Hispanic individuals (age 55-98; 29 males and 76 females) divided into three education groups (<6, 6-11 and >11 years of education). Results showed that after controlling for age and gender, education has a main effect and is a strong predictor of performance in verbal fluency for the categories animals and clothing with increasing educational attainment being associated with higher category fluency scores and with more switches between categories. These findings suggest that the category fruit is less influenced by level of education than the other three semantic categories and may be a more appropriate test across different educational groups. Results from this study provide a reference for clinicians assessing verbal fluency in Spanish speaking populations.
Rosselli
Monica
M
Department of Psychology, Charles Schmidt College of Science, Florida Atlantic University, Davie, FL 33314-7714, USA. mrossell@fau.edu
Tappen
Ruth
R
Williams
Christine
C
Salvatierra
Judy
J
Zoller
Yaron
Y
D000368:Aged; D000369:Aged, 80 and over; D000375:Aging; D003071:Cognition; D004522:Educational Status; D005260:Female; D006630:Hispanic or Latino; D006801:Humans; D007802:Language; D007807:Language Tests; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D012660:Semantics; D012727:Sex Characteristics; D012959:Socioeconomic Factors