Timed Picture Naming Norms for Mandarin Chinese

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.

Determinants of naming latencies, object comprehension times, and new norms for the Russian standardized set of the colorized version of the Snodgrass and Vanderwart pictures

“…The reliabilities of the norms are high and nearly identical. Table 2 shows the correlation coefficients between the present norms and those obtained for (1) subjective frequency in Chinese (Liu et al, 2011), in American English (Balota et al, 2001), and in French (Bonin, Méot, et al, 2003); (2) image variability in Chinese (Liu et al, 2011), in French (Alario & Ferrand, 1999), and in Spanish (Sanfeliu & Fernandez, 1996); and (3) BOI for Canadian English (Tillotson, Siakaluk, & Pexman, 2008). Given that these norms were all developed for different purposes, they were not computed using the same items.…”

“…It should be remembered that this variable has not been investigated very often in timed picture-naming studies. The only study that we are aware of that has taken subjective frequency into account is that of Liu et al (2011). In a multiple regression analysis of objectnaming latencies in Mandarin Chinese (important variables such as name agreement, conceptual familiarity, image agreement, rated AoA, etc.…”

“…Subjective frequency in timed picture-naming studies has not often been investigated. Liu et al (2011) introduced subjective frequency in a multiple regression analysis of naming latencies on drawings of objects in Mandarin Chinese, alongside other important variables such as conceptual familiarity, image agreement, rated AoA, and so forth but did not find a reliable contribution of this variable. However, in their study, objective word frequency was not introduced as a predictor in the different regression analyses.…”

Predictors of photo naming: Dutch norms for 327 photos

“…The impact of AoA on naming latencies has been found in many studies using line drawings (Barry et al, 1997;Brysbaert & Cortese, 2011;Ellis & Morrison, 1998;Liu et al, 2011). To the best of our knowledge, however, only one photonorming study has shown that AoA predicts photo-naming latencies (Nishimoto et al, 2012).…”

“…For instance, in picture-naming tasks, objects are named faster when they are visually simpler (Alario & Ferrand, 1999) or when they have higher name agreement (Shao, Roelofs, Acheson, & Meyer, 2014a). Furthermore, objects are also named more quickly if their names can evoke images more easily (Balota et al, 2004) or if their names are learned earlier in life and used more frequently (Barry et al, 1997;Brysbaert & Cortese, 2011;Ellis & Morrison, 1998;Liu, Hao, Li, & Shu, 2011). However, these findings are largely based on studies using black-and-white line drawings.…”