17-AAG Untruths You Have Been Told About

, 2010?and?Richards and Anderson, 2004). Marked differences in the patterns of look durations observed on different tasks can be seen: both peak and mean look duration were higher for all of the screen-based tasks than for the structured free play tasks. Within the screen-based Selleckchem 17-AAG tasks, markedly longer peak looking times were observed in the static complex and mixed dynamic-static categories than in the other categories. The between-participant distributions of peak look durations were found to be positively skewed, in common with all looking time assessments (see e.g. Richards & Anderson, 2004); therefore all subsequent analyses have been calculated based on log-transformed data (following e.g. Frick, Colombo, & Saxon, 1999). We wished to evaluate the hypothesis that individual differences in looking time would be consistent across the six assessments we administered. In order to examine this, two analyses were conducted. First, zero-order correlations were calculated. Second, a factor analysis was performed. First, histograms and scatterplots were calculated to assess whether per-participant peak look values derived from the log-transformed data were parametrically distributed, and whether any bivariate relationships observed were robust. Fig. 4 shows these scatterplots. All parameters were found to be normally distributed. Zero-order correlations. Fig. 4 shows the zero-order bivariate correlations that check details were observed between the variables entered into the factor analysis. The four screen-based tasks (static complex, static non-complex, mixed dynamic-static, videos during EEG) all show significant correlations (r?=?.33 to .56, all ps?tiospirone conducted, and r?