Abstract
The present study reports timed norms for 435 object pictures in Mandarin Chinese. These data include naming latency, name agreement, concept agreement, word length, and age of acquisition (AoA) based on children's naming and adult ratings, and several other adult ratings of concept familiarity, subjective word frequency, image agreement, image variability, and visual complexity. Furthermore, we examined factors that influence the naming latencies of the pictures. The results show that concept familiarity, AoA, concept agreement, name agreement, and image agreement are significant predictors of naming latencies, whereas subjective word frequency is not a reliable determinant. These results are discussed in light of picture naming data in other languages. An item-based index for the norms is provided in the Table S1.
Highlights
Picture naming is a widely used paradigm in psycholinguistic research [1], and recently it has become an important method in brain imaging studies [2,3]
The current study aims at providing a more comprehensive index of variables for picture naming by adding more potential variables, and further examining the impacts of these variables on picture naming with 435 pictures
The data showed that the variables with the highest correlations with naming RTs are concept familiarity, followed by concept agreement, objective age of acquisition (AoA), name agreement and rated AoA
Summary
Picture naming is a widely used paradigm in psycholinguistic research [1], and recently it has become an important method in brain imaging studies [2,3]. The dataset includes eleven variables: naming latency, name agreement (both in percentage and in H-statistics), adult rated age of acquisition (AoA), AoA based on children’s speech, subjective word frequency, concept agreement, concept familiarity, image agreement, image variability, visual complexity, and word length. Shu, Hao, Liu and Tan [7] investigated the possible variables affecting picture naming in Mandarin Chinese used in Beijing and found that name agreement, concept familiarity, and adult rated AoA had significant contributions to naming latency. Their findings were based on 144 pictures. In what follows we first report the procedure with which we collected the indices of all the variables for 435 line-drawing pictures, and analyze their relationships and their contributions to picture naming latencies with multiple regression analyses
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