Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Data was split into two separate files--one for each of the libraries studies. Data was subsequently loaded into SPSS 25.0.0.1 64-bit version for Windows. The HomeGame variable was recoded so that the absence of a home game was coded as a 0 and the presence of a home game was a 1. Data was reduced down to just five variables: Year, Week of Semester (WeekSemester), Home Game (HomeGame), Gate Count total (GateCount) and Library. Initial exploration of the difference between the means for Saturdays with home games and Saturdays without home games was performed using simple box and whisker plots to get a visual feel for the difference as well as the spread. Although some outliers were clearly visible, these were left in the data sets. Independent Sample t Tests were performed for each of the two datasets and confidence intervals were set at 0.95. The SPSS syntax for the recoding, exploratory analysis, and Independent Samples t Test is available on this site.
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.