The Bse As Developed By Darrick Jolliffe And David Farrington

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Method Clark et al employed the BSE as developed by Darrick Jolliffe and David Farrington (2006b) as well as the STOMP test as developed by Rentfrow et al (2003). The current study will utilize the same assessments while holding for sample size in order to determine a stronger correlation that was observed by Clark et al (2013). As there are a wide variety of applications and websites that allow users to develop their own music libraries, a similar approach as that taken by Chamorro-Premuzic et al (2010). As a fast-growing application, Spotify serves as an excellent source from which to sample. According to an article written by Yinka Adegoke, deputy editor of Billboard Magazine, Spodify has over 10 million users across the globe who have a paid subscription. Of those, 6 million are from the United States (Adegoke 2014). In order to obtain a more accurate sample, this study will draw the random sample from these users specifically, as those with a paid subscription have better control over the music in their library and have full access to all available music. As such, these users preferences will be better reflected by the music in their library. According to a qualtrics.com article by Scott Smith, Ph.D, (Smith 2013) a sample of 385 should ensure that results have a 95% confidence level with a standard deviation of .5 and a +/-5% margin of error. The study will seek to gather 400-600 total participants. The ideal sample for this study would be a representation of the

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