Normative Data of an Argentinean Color Naming Test.

Area of Science:

• Neuroscience
• Psycholinguistics
• Clinical Psychology

Background:

• Establishing normative data for language assessment tools is crucial for accurate diagnosis.
• The Psycholinguistic Picture Naming Test in Color (PAPDIC) requires culturally validated data for Argentinean Spanish speakers.
• Understanding the impact of image modality (color vs. black-and-white) on naming performance is important for test optimization.

Purpose of the Study:

• To develop normative data for the PAPDIC in Spanish-speaking Argentinians.
• To establish reliable cut-off scores for the PAPDIC.
• To investigate the effect of color versus black-and-white images on PAPDIC performance.

Main Methods:

• A cross-sectional study included 158 healthy participants, 22 with mild cognitive impairment (MCI), and 27 with post-stroke conditions (aphasia and no aphasia).
• Participants completed the PAPDIC, and sociodemographic data were collected.
• Statistical analyses included internal consistency, ROC curve analysis, and predictor analysis for age, education, and gender.

Main Results:

• The PAPDIC demonstrated strong internal consistency (KR-20 = 0.925).
• Color images significantly improved naming accuracy compared to black-and-white images.
• ROC analysis showed moderate accuracy for identifying cognitive decline (AUC = 0.787) and high accuracy for detecting anomia (AUC = 0.918).
• Age predicted PAPDIC scores, but education and gender did not.

Conclusions:

• The PAPDIC is a reliable and culturally appropriate tool for assessing language in Argentinean Spanish speakers.
• Color images enhance performance and specificity, likely due to improved perceptual clarity.
• The PAPDIC shows promise for detecting anomia but requires further research to improve MCI detection sensitivity.