Predictor of Picture Naming and Picture Categorization in Spanish

SORIANO, FEDERICO; BARREYRO, JUAN PABLO; JAICHENCO, VIRGINIA; MARTINEZ-CUITIÑO, MACARENA; STEEB, BRENDA

East European Journal of Psycholinguistics

Lesya Ukrainka Eastern European National University (EENU)

Año: 2019 vol. 6 p. 6 - 18

The aim of this paper was to identify which psycholinguistic variables are better predictors of performance for healthy participants in a picture naming task and in a picture categorization task. A correlation analysis and a Path analysis were carried out. The correlation analysis showed that naming accuracy and naming latency are significant and positively correlated with lexical frequency and conceptual familiarity variables, whereas they are negatively correlated with H index. Reaction times in the categorization task were negatively correlated with lexical frequency and conceptual familiarity variables and positively correlated with visual complexity variable. The Path analysis showed that subjective lexical frequency and H index are the better predictors for picture naming task. In picture categorization task, for reaction times, the better predictor variables were subjective lexical frequency, conceptual familiarity and visual complexity. These findings are discussed considering previous works on the field.*Revista Indexada en: Index Copernicus; Directory of Open Access Journals; ERIH PLUS, International Scientific Indexing; Ulrich´s Web; OCLC WorldCat; Scribd; Directory of Research Journal Indexing; Open Academic Journals Indexing; Cite Factor; Scientific Indexing Services; JIFactor; Universal Impact Factor; Polska Bibliografia Naukowa; Electronic Journals Library; Academic Keys; ResearchBible; The Linguist List; Directory of Abstract Indexing for Journals; Max Planck Institute; Zenodo; Universitätsbibliothek Leipzig; Portal on Central Eastern and Balkan Europe; Russian State Digital Library; Deutsche Zentralbibliothek fur Medizin ZB MED; Leibniz Institute for Science and Mathematics Education, Kiel; Linguistik Portal fűr Sprachwissenschaft; Staats- und Universitäts- Bibliothek Hamburg; Information Matrix for the Analysis of Journals MIAR