Many studies have analyzed the properties of objects that influence picture naming speed. These studies are important for developing cognitive models of object recognition and naming and for the study of lexical processing in the brain (Bates et al., 2003;Székely et al., 2003). Up until the late 1990s, research on the key factors affecting picture naming speed was limited to that done in English. However, there has been a steady increase in studies investigating timed picture naming in other languages including Dutch (Jescheniak & Levelt, 1994;Severens, Van Lommel, Ratinckx, & Hartsuiker, 2005), French (Alario et al., 2004;Bonin, Chalard, Méot, & Fayol, 2002;Bonin, Peereman, Malardier, Méot, & Chalard, 2003;Chalard, Bonin, Méot, Boyer, & Fayol, 2003;Kremin, Hamerel, Dordain, De Wilde, & Perrier, 2000;Schwitter, Boyer, Méot, Bonin, & Laganaro, 2004), Icelandic (Pind & Tryggvadottir, 2002), Italian (Dell'Acqua, Lotto, & Job, 2000), Japanese (Nishimoto, Miyawaki, Ueda, Une, & Takahashi, 2005), and Spanish (Cuetos, Ellis, & Alvarez, 1999;Sanfeliu & Fernandez, 1996). All of these studies investigate naming of objects using line drawings first published by Snodgrass and Vanderwart (1980) and locally collected normative data. According to a review by Alario et al., the key variables that predict picture naming latency across languages are name agreement and rated age of acquisition (AoA). Bates and colleagues compared languages in a study of picture naming in Bulgarian, English, German, Hungarian, Italian, Spanish, and Mandarin (Putonghua). Their data confirmed the importance of name agreement but also revealed a robust effect of printed-word frequency across languages. Bates et al. did not, however, consider the full range of variables for each of the languages examined; for example, they did not consider the effect of rated AoA on picture naming in Chinese. The primary aim of the present study was to investigate the impact of key variables-including AoA-on picture naming in Mainland Chinese speakers.Name agreement has a significant impact on timed picture naming that is independent of the effects of correlated variables such as word frequency, familiarity, and AoA in all languages. Name agreement can be measured in several ways, but the most common way is to determine the proportion of speakers who assign the target name to a pictured object. Another method is to measure the number of names given to a picture across participants. On both measures, pictures of objects that elicit different namesfor example, gun/pistol/revolver-have lower name agreement than do those that elicit a single name. If an object has more than one alternative name and participants do not all give the same name to a given picture, retrieval of any one of those names will be slowed. Pictures with a single dominant response are named more quickly and more accurately than pictures with alternative responses. This robust effect is possibly due to competition for tar-
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