Test de emparejamiento semántico de imágenes: instrucciones y pautas para el análisis de su ejecución
Year: 2015
Type: article
Abstract: OBJECTIVE: To evaluate in aphasic patients, the capacity to extract semantic information of visual images, before neurolinguistics assessment.DEVELOPMENT: The development and construction of the items and procedures for assessment the execution of patients in the test, was taking The organized unitary content hypothesis as theorical referent. This hypothesis is considerate the best explanation about the semantic dissociation observed in patients with brain injury. The organized unitary content hypothesis approach, that knowledge is organized in the semantic system, by means of the biological or not biological nature of elements in the reality; and the correlation of properties of biological and not biological elements are strongest: the members of superior categories shared much attributes with members of subordinate categories. The task of the test implies to decide if the concepts of two images that are presented together, belong or not, to the same semantic category. In his structure, the task is formed by 42 elements: 2 as examples and 40 as items. In 20 items, both images belong to the same semantic category. In the others 20 items, the images belong to different semantics categories. The analysis of patient´s test execution needs the consideration of two topics. First, all supposes of the organized unitary content hypothesis that are taken as referent for the test development and construction (knowledge is organized in the semantic system by means of the biological or not biological nature of elements in the reality). Second, this analysis is purely qualitative. The punctuation of the patient’s execution is for facilitate the assessment. The analysis requires to considerate only the semantic categories of the images. Is not necessary a global percentile in the test.
Author: Erislandy Omar Martínez
Institution: Universidad de Oriente
Language: Spanish
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W2788145773