Summary statistics for all the variables for each category.

Summary statistics for all the variables for each category.</p

Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age of acquisition, visual complexity, manipulability and lexical frequency as predictor variables.

Results of Mixed effects Model with naming latencies as the criterion variable and H statistic, age of acquisition, visual complexity, manipulability and lexical frequency as predictor variables.</p

Correlations between the average naming latencies and the variables.

Correlations between the average naming latencies and the variables.</p

Results of the multiple regression analysis, with naming latencies as the criterion variable and H statistic, age of acquisition, visual complexity, manipulability and lexical frequency as predictor variables.

Results of the multiple regression analysis, with naming latencies as the criterion variable and H statistic, age of acquisition, visual complexity, manipulability and lexical frequency as predictor variables.</p

Correlation matrix between variables.

Correlation matrix between variables.</p

The figure shows the partial effects for the regression model on Naming Latencies.

Each panel represents the partial effect of a predictor included in the regression. The blue lines represent the regression for that partial effect. The shaded blue represents the area delimiting the standard error of the estimate. The gray points indicate the partial residuals associated with the predictor.</p

Summary statistics for all the variables.

Summary statistics for all the variables.</p

Partial effects of the mixed models on naming latencies.

The figure shows the partial effects for the regression model on naming latencies. Each panel represents the partial effect of a predictor included in the regression. The blue line represents the regression line for that partial effect. The shaded blue area represents the area delimiting the standard error of the estimate. Gray points indicate the partial residuals associated with the predictor.</p

Some examples of the set of color photographs.

Italian names are given in brackets. Reprinted from Moreno-Martínez and Montoro. “An ecological alternative to Snodgrass & Vanderwart: 360 high quality colour images with norms for seven psycholinguistic variables”. PLOS ONE, 2012 May 25;7(5): e37527 under a CC BY license, with permission from PLOS ONE, original copyright 2012.</p

Correlations between current stimuli and those of Moreno-Martínez and Montoro (2012), Adlington et al. (2009), Brodeur et al. (2010), Moreno- Martínez et al. (2011), Snodgrass & Vanderwart (1980) and Viggiano et al. (2004).

Correlations between current stimuli and those of Moreno-Martínez and Montoro (2012), Adlington et al. (2009), Brodeur et al. (2010), Moreno- Martínez et al. (2011), Snodgrass & Vanderwart (1980) and Viggiano et al. (2004).</p