Home

Menu

Loading wiki pages...

View
Wiki Version:
<p><a href="https://openpsych.net/paper/50" rel="nofollow">Published version.</a></p> <h1>Immigrant crime in Germany 2012-2015</h1> <p>Number of suspects per capita were estimated for immigrants in Germany grouped by citizenship (n=83). These were correlated with national IQs (r=-.53) and Islam prevalence in the home countries (r=.49). Multivariate analyses revealed that the mean age and sex distribution of the groups in Germany were confounds.</p> <p>The German data lacked age and sex information for the crime data and so it was not possible to adjust for age and sex using subgroup analyses. For this reason, an alternative adjustment method was developed. This method was tested on the detailed Danish data which does have the necessary information to carry out subgroup analyses. The new method was found to give highly congruent results with the subgrouping method.</p> <p>The German crime data were then adjusted for age and sex using the developed method and the resulting values were analyzed with respect to the predictors. They were moderately to strongly correlated with national IQs (.46) and Islam prevalence in the home country (.35). Combining national IQ, Islam% and distance to Germany resulted in a model with a cross-validated r2 of 20%, equivalent to a correlation of .45. If two strong outliers were removed, this rose to 25%, equivalent to a correlation of .50.</p> <p>Citation: - Kirkegaard, E. O. W., & Becker, D. (2017). Immigrant crime in Germany 2012-2015. Open Quantitative Sociology & Political Science. Retrieved from <a href="https://openpsych.net/paper/50" rel="nofollow">https://openpsych.net/paper/50</a></p>
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.