The rise of Islamism among Turkish immigrants in Germany and the Netherlands

This study is a comparative study of the Turkish Islamist movement Milli Görüş (IGMG) in Germany and the Netherlands. It is a qualitative and a quantitative inquiry about the nature (whether it is moderate or radical) of the Milli Görüş movement in these two countries. The central research questions are: what is the reason for the rise of Islamism among Turks living in two different countries in Europe? What is the reason for the difference in the radicalization levels? Islamism refers to an ideology that turns traditional Islam into a sustained and systematic program that includes social, political, and economic affairs (Pipes 1998). The movements within the framework of Islamism range from moderate to radical. Based on the data collected during the field research conducted in Germany and the Netherlands between the years of 2004-2007, this study suggests that Islamism is a response to social marginalization which is defined as “an external social position, of isolation of the individual or groups, with a limited access to economical, political, educational and communicational resources of the community” (Contained in the law adopted by the Romanian Parliament in 28 February 2002, www.hurriyetim.com, November 25, 2004). It is hypothesized that as the level of social marginalization increases, so does the level of radicalization.

Utilizing Traditional Cognitive Measures of Academic Preparation to Predict First-Year Science, Technology, Engineering, and Mathematics (STEM) Majors' Success in Math and Science Courses

For the past several years, U.S. colleges and universities have faced increased pressure to improve retention and graduation rates. At the same time, educational institutions have placed a greater emphasis on the importance of enrolling more students in STEM (science, technology, engineering and mathematics) programs and producing more STEM graduates. The resulting problem faced by educators involves finding new ways to support the success of STEM majors, regardless of their pre-college academic preparation. The purpose of my research study involved utilizing first-year STEM majors’ math SAT scores, unweighted high school GPA, math placement test scores, and the highest level of math taken in high school to develop models for predicting those who were likely to pass their first math and science courses. In doing so, the study aimed to provide a strategy to address the challenge of improving the passing rates of those first-year students attempting STEM-related courses. The study sample included 1018 first-year STEM majors who had entered the same large, public, urban, Hispanic-serving, research university in the Southeastern U.S. between 2010 and 2012. The research design involved the use of hierarchical logistic regression to determine the significance of utilizing the four independent variables to develop models for predicting success in math and science. The resulting data indicated that the overall model of predictors (which included all four predictor variables) was statistically significant for predicting those students who passed their first math course and for predicting those students who passed their first science course. Individually, all four predictor variables were found to be statistically significant for predicting those who had passed math, with the unweighted high school GPA and the highest math taken in high school accounting for the largest amount of unique variance. Those two variables also improved the regression model’s percentage of correctly predicting that dependent variable. The only variable that was found to be statistically significant for predicting those who had passed science was the students’ unweighted high school GPA. Overall, the results of my study have been offered as my contribution to the literature on predicting first-year student success, especially within the STEM disciplines.