Home

Menu

Loading wiki pages...

View
Wiki Version:
<h2>Data and Results</h2> <hr> <p><strong>Final Analyses</strong></p> <p>In some cases, the preregistered R scripts needed to be tweaked to handle issues specific to individual labs (mostly due to language or OS differences). None of these tweaks changed the analysis plan. The meta-analysis scripts below were adapted to make additional figures and to improve formatting. The zip archive below includes all of the scripts and all of the data organized in the appropriate way for analysis. Each lab's data is in its own folder, along with the script used to analyze their data. The top-level folder includes the CSV files generated by those scripts that are then used in the meta-analysis. The top-level folder also includes the script used to run the meta-analysis.</p> <ul> <li>all data and scripts [<a href="https://osf.io/p2myk/" rel="nofollow">.zip file</a>]</li> <li>All results figures and tables [<a href="https://osf.io/mxugy/" rel="nofollow">.zip file</a>]</li> <li>Script for recovery of data following a program crash [<a href="https://osf.io/68zwm/" rel="nofollow">Python File</a>]</li> <li>Analysis ReadMe file [<a href="https://osf.io/5b6uw/" rel="nofollow">text file</a>]</li> </ul> <hr> <p><strong>Pre-registered analysis scripts</strong></p> <p>These R scripts were written before data collection began, using simulated data files. There are two scripts, one that will be used for the meta-analsysis across all studies and one that is for individual labs to analyze their data. There is also a readme file. The scripts were written by Katherine Wood and will be vetted by the Center for Open Science before data have been examined.</p> <ul> <li><a href="https://osf.io/rdu73/" rel="nofollow">Lab analysis script</a></li> <li><a href="https://osf.io/tgm93/" rel="nofollow">meta-analysis script</a></li> </ul> <p>Note: If the meta-analysis reveals heterogeneity exceeding what would be expected from sampling error, we will conduct an additional analysis to examine whether labs in regions that are less familiar with the concept of soccer hooligans (e.g., North American) differ from labs in regions that are more familiar with that concept.</p> <hr> <p><strong>Norming Studies</strong></p> <ul> <li>information about the norming studies can be found <a href="https://osf.io/w2qcy/" rel="nofollow">here</a>.</li> </ul>
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.