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Native America Hypothesis

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Method Participants Participants were recruited using an availability sample. Each of the researchers collected four acquaintances and collected data, then submitted each response to build a conjoined data set. The group consisted of 106 females and 120 males, for a total of 226 participants between the ages of 11 and 57 years of age (M = 23.99, SD = 8.46). Our sample was made up of individuals indicating their ethnicity as 54.9% as White/Caucasian (N = 124), with 28.8% identifying themselves as Hispanic/Latino/a (N = 65), with 8% identifying themselves as Black/African-American (N = 18), with 3.5% identifying themselves as more than one ethnicity/race (N = 8), with 2.7% identifying themselves as Asian/Pacific Islander (N = 6), with 1.8% …show more content…

Data were analyzed using a linear regression model where the average time taken to notice a change was used as a dependent variable, and the age was used as an independent variable. This analysis revealed that there is not a significant difference between age and the amount of time that it took any individual to notice a change, F (1, 224) = 3.52, p = .06. Results show that there was an insignificant increase of .27 seconds in time taken to notice the change between ages. Age explained 1% of the variance in time taken to notice the change in stimuli, r2 = .01. Discussion The purpose of this study was to examine the effects of age on the amount of time it would take the participant to detect change blindness. These factors were observed through a computer software (Qualtrics, n. d.). The correlation of age and time in this study were insignificant. The results do not show the importance of the overall issue of the correlation in change blindness within age due to sample issues, so method implications and future directions are discussed. In contrast to what was expected, the results from the analysis showed no significant correlation between age and time. According to Beanland et al. (2017), the average time it took to inspect an urban scene was significantly longer than the amount of time spent inspecting rural scenes. The comparison between Beanland et al. (2017), and the present study is that the change from

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