ABSTRACT
This study investigated the relationship between emotion comprehension, grammar comprehension, and working memory capacity in children between 5 and 11 years (n= 130), testing the hypothesis that working memory has a role in the development of emotion comprehension. We replicated the correlation between emotion comprehension and grammar comprehension, and found that working memory capacity correlates with both of these variables (also with age statistically controlled). The significant effect of age on emotion comprehension was eliminated when working memory capacity was co-varied. In a regression analysis of emotion comprehension scores, when working memory capacity was entered as a predictor, no additional variance was significantly accounted for by grammar comprehension, gender, or age. A structural relations model, in which the paths from working memory capacity to emotion comprehension and from working memory capacity to grammar comprehension account fully for the correlation between grammar and emotion comprehension, fit the data well. However, working memory capacity was not equally related to all components of the Test of Emotion Comprehension (TEC) (Pons & Harris, 2000), the relationship being significant only for some of them. In particular, working memory capacity has a decisive role in the transition from understanding external to mental aspects of emotions. It is concluded that the development of working memory has a considerable impact on the development of emotion comprehension.
Subject(s)
Comprehension/physiology , Emotions/physiology , Memory, Short-Term/physiology , Age Factors , Analysis of Variance , Child , Child, Preschool , Female , Humans , Language , Linguistics , Male , Task Performance and AnalysisABSTRACT
The goal of this study was to investigate which working memory and long-term memory components predict vocabulary learning. We used a nonword learning paradigm in which 8- to 10-year-olds learned picture-nonword pairs. The nonwords varied in length (two vs. four syllables) and phonology (native sounding vs. including one Russian phoneme). Short, phonologically native nonwords were learned best, whereas learning long nonwords leveled off after a few presentation cycles. Linear structural equation analyses showed an influence of three constructs-phonological sensitivity, vocabulary knowledge, and central attentional resources (M capacity)-on nonword learning, but the extent of their contributions depended on specific characteristics of the nonwords to be learned. Phonological sensitivity predicted learning of all nonword types except short native nonwords, vocabulary predicted learning of only short native nonwords, and M capacity predicted learning of short nonwords but not long nonwords. The discussion considers three learning processes-effortful activation of phonological representations, lexical mediation, and passive associative learning-that use different cognitive resources and could be involved in learning different nonword types.
