RESUMEN
Sensory experience rating (SER) is a recently developed subjective lexical index that reflects the extent to which a word evokes a sensory and/or perceptual experience in a reader (Juhasz & Yap, 2013; Juhasz, Yap, Dicke, Taylor, & Gullick, 2011). In the present study, SERs for a set of 5,500 Spanish words were collected, which makes this the largest set of norms for SER in the Spanish language to date. Additionally, with the aim of further exploring the implications of this new indicator and its relations with other psycholinguistic variables, a variety of correlational and regression analyses are provided. The results showed that SERs significantly correlated with imageability, age of acquisition, and a number of variables related to perception and emotion. In addition, SERs predicted a significant amount of variance in lexical decision times when other variables were controlled.
Asunto(s)
Lenguaje , Adolescente , Adulto , Toma de Decisiones , Emociones , Femenino , Humanos , Masculino , Persona de Mediana Edad , Psicolingüística , Vocabulario , Adulto JovenRESUMEN
Words that correspond to a potential sensory experience-concrete words-have long been found to possess a processing advantage over abstract words in various lexical tasks. We collected norms of concreteness for a set of 1,659 French words, together with other psycholinguistic norms that were not available for these words-context availability, emotional valence, and arousal-but which are important if we are to achieve a better understanding of the meaning of concreteness effects. We then investigated the relationships of concreteness with these newly collected variables, together with other psycholinguistic variables that were already available for this set of words (e.g., imageability, age of acquisition, and sensory experience ratings). Finally, thanks to the variety of psychological norms available for this set of words, we decided to test further the embodied account of concreteness effects in visual-word recognition, championed by Kousta, Vigliocco, Vinson, Andrews, and Del Campo (Journal of Experimental Psychology: General, 140, 14-34, 2011). Similarly, we investigated the influences of concreteness in three word recognition tasks-lexical decision, progressive demasking, and word naming-using a multiple regression approach, based on the reaction times available in Chronolex (Ferrand, Brysbaert, Keuleers, New, Bonin, Méot, Pallier, Frontiers in Psychology, 2; 306, 2011). The norms can be downloaded as supplementary material provided with this article.
Asunto(s)
Lenguaje , Psicolingüística/métodos , Tiempo de Reacción , Reconocimiento en Psicología , Nivel de Alerta , Toma de Decisiones , Emociones , Femenino , Francia , Humanos , Pruebas del Lenguaje , MasculinoRESUMEN
Since the work of Taft and Forster (1976), a growing literature has examined how English compound words are recognized and organized in the mental lexicon. Much of this research has focused on whether compound words are decomposed during recognition by manipulating the word frequencies of their lexemes. However, many variables may impact morphological processing, including relational semantic variables such as semantic transparency, as well as additional form-related and semantic variables. In the present study, ratings were collected on 629 English compound words for six variables [familiarity, age of acquisition (AoA), semantic transparency, lexeme meaning dominance (LMD), imageability, and sensory experience ratings (SER)]. All of the compound words selected for this study are contained within the English Lexicon Project (Balota et al., 2007), which made it possible to use a regression approach to examine the predictive power of these variables for lexical decision and word naming performance. Analyses indicated that familiarity, AoA, imageability, and SER were all significant predictors of both lexical decision and word naming performance when they were added separately to a model containing the length and frequency of the compounds, as well as the lexeme frequencies. In addition, rated semantic transparency also predicted lexical decision performance. The database of English compound words should be beneficial to word recognition researchers who are interested in selecting items for experiments on compound words, and it will also allow researchers to conduct further analyses using the available data combined with word recognition times included in the English Lexicon Project.