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"pref" : "The \"Religious Fundamentalism and Radicalization Survey (RFRS)\" is a large-scale cross-sectional survey conducted among Muslims, Christians, Jews, and non-believers in Cyprus, Germany, Israel, Kenya, Lebanon, the Palestinian territories, Turkey, and the USA. The survey is designed specifically to test hypotheses related to determinants of religious radicalization. It includes a broad range of variables concerning religiosity, religious knowledge, and fundamentalism, as well as a survey experiment concerning the effect of religious scripture on religious violence legitimation. The data collection in Cyprus, Germany, Israel, Kenya, Lebanon, Palestine, and Turkey was funded by the WZB Berlin Social Science Center, whereas the data collection in the USA was funded by the Social Sciences and Humanities Research Council of Canada (#435-2012-0922). The fieldwork for the survey took place between November 2016 and June 2017.
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Kanol, Eylem (2021): Explaining Unfavorable Attitudes Toward Religious Out-Groups Among Three Major Religions. In: Journal for the Scientific Study of Religion. Early view articles. DOI: https://doi.org/10.1111/jssr.12725
Koopmans, Ruud; Kanol, Eylem; Stolle, Dietlind (2021): Scriptural legitimation and the mobilisation of support for religious violence: Experimental evidence across three religions and seven countries. In: Journal of Ethnic and Migration Studies 47 (7), pp. 1498-1516. DOI: https://doi.org/10.1080/1369183X.2020.1822158\r\n\r\n
\r\nAnalyses of other parts of the data set are ongoing. Once these are completed, the entire data set will be made publicly available.",
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Kanol, Eylem (2021): Explaining Unfavorable Attitudes Toward Religious Out-Groups Among Three Major Religions. In: Journal for the Scientific Study of Religion. Early view articles. DOI: https://doi.org/10.1111/jssr.12725
Koopmans, Ruud; Kanol, Eylem; Stolle, Dietlind (2021): Scriptural legitimation and the mobilisation of support for religious violence: Experimental evidence across three religions and seven countries. In: Journal of Ethnic and Migration Studies 47 (7), pp. 1498-1516. DOI: https://doi.org/10.1080/1369183X.2020.1822158\r\n\r\n
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"pref" : "Der vorliegende Datensatz beinhaltet kleinräumige Sozial- bzw. Arbeitsmarkdaten für die 153 größten Städte in Deutschland für die Jahre 2013-2022. Die Daten wurden von der Bundesagentur für Arbeit in einer Lambertprojektion ETRS89-LAEA (EPSG:3035) in 1 x 1 km großen Quadraten für ganz Deutschland übermittelt. Die Variable „Gitter1km“ beschreibt die Lage des jeweiligen Grids (siehe hierfür auch Bundesamt für Kartografie und Geodäsie: https://gdz.bkg.bund.de/index.php/default/geographische-gitter-fur-deutschland-in-lambert-projektion-geogitter-inspire.html). Veröffentlicht werden hier nur die Daten für die 153 größten Städte, die Teil der oben genannten Studie (Helbig 2023) sind. Die Daten entstammen der SGB II-, Arbeitslosen- und Sozialversicherungspflichtig Beschäftigten-Statistik, die auch eine höhere Anzahl an Variablen bereitstellen. Es wurden im vorliegenden Fall aber nur die Daten veröffentlicht, die auch in der zu Grunde liegenden Studie verwendet wurden.\r\n\r\nIm vorliegenden Datensatz sind zudem einige Kennzahlen für die gesamte Stadt (z.B. Anteil SGB-II Bezieher oder Armutssegregationsindex) enthalten, die Makroinformationen für die einzelnen Städte bereitstellen, aber nur aus den Rohdaten erzeugt werden können. Die Rohdaten können jedoch nicht weitegegeben werden.\r\n\r\nUm die Armutsquoten aus der SGB II-Statistik zu berechnen, musste auf Daten zu unterschiedlichen Altersgruppen auf der gleichen räumlichen Ebene zurückgegriffen werden. Diese Daten liegen jedoch bei keiner staatlichen Stelle für den benötigten Zeitraum vor (zuletzt für den Zensus 2011). Deshalb wurde GfK Geomarketing damit beauftragt die Daten auf der benötigten räumlichen Ebene zu berechnen.",
"de" : "Der vorliegende Datensatz beinhaltet kleinräumige Sozial- bzw. Arbeitsmarkdaten für die 153 größten Städte in Deutschland für die Jahre 2013-2022. Die Daten wurden von der Bundesagentur für Arbeit in einer Lambertprojektion ETRS89-LAEA (EPSG:3035) in 1 x 1 km großen Quadraten für ganz Deutschland übermittelt. Die Variable „Gitter1km“ beschreibt die Lage des jeweiligen Grids (siehe hierfür auch Bundesamt für Kartografie und Geodäsie: https://gdz.bkg.bund.de/index.php/default/geographische-gitter-fur-deutschland-in-lambert-projektion-geogitter-inspire.html). Veröffentlicht werden hier nur die Daten für die 153 größten Städte, die Teil der oben genannten Studie (Helbig 2023) sind. Die Daten entstammen der SGB II-, Arbeitslosen- und Sozialversicherungspflichtig Beschäftigten-Statistik, die auch eine höhere Anzahl an Variablen bereitstellen. Es wurden im vorliegenden Fall aber nur die Daten veröffentlicht, die auch in der zu Grunde liegenden Studie verwendet wurden.\r\n\r\nIm vorliegenden Datensatz sind zudem einige Kennzahlen für die gesamte Stadt (z.B. Anteil SGB-II Bezieher oder Armutssegregationsindex) enthalten, die Makroinformationen für die einzelnen Städte bereitstellen, aber nur aus den Rohdaten erzeugt werden können. Die Rohdaten können jedoch nicht weitegegeben werden.\r\n\r\nUm die Armutsquoten aus der SGB II-Statistik zu berechnen, musste auf Daten zu unterschiedlichen Altersgruppen auf der gleichen räumlichen Ebene zurückgegriffen werden. Diese Daten liegen jedoch bei keiner staatlichen Stelle für den benötigten Zeitraum vor (zuletzt für den Zensus 2011). Deshalb wurde GfK Geomarketing damit beauftragt die Daten auf der benötigten räumlichen Ebene zu berechnen.",
"en" : "Der vorliegende Datensatz beinhaltet kleinräumige Sozial- bzw. Arbeitsmarkdaten für die 153 größten Städte in Deutschland für die Jahre 2013-2022. Die Daten wurden von der Bundesagentur für Arbeit in einer Lambertprojektion ETRS89-LAEA (EPSG:3035) in 1 x 1 km großen Quadraten für ganz Deutschland übermittelt. Die Variable „Gitter1km“ beschreibt die Lage des jeweiligen Grids (siehe hierfür auch Bundesamt für Kartografie und Geodäsie: https://gdz.bkg.bund.de/index.php/default/geographische-gitter-fur-deutschland-in-lambert-projektion-geogitter-inspire.html). Veröffentlicht werden hier nur die Daten für die 153 größten Städte, die Teil der oben genannten Studie (Helbig 2023) sind. Die Daten entstammen der SGB II-, Arbeitslosen- und Sozialversicherungspflichtig Beschäftigten-Statistik, die auch eine höhere Anzahl an Variablen bereitstellen. Es wurden im vorliegenden Fall aber nur die Daten veröffentlicht, die auch in der zu Grunde liegenden Studie verwendet wurden.\r\n\r\nIm vorliegenden Datensatz sind zudem einige Kennzahlen für die gesamte Stadt (z.B. Anteil SGB-II Bezieher oder Armutssegregationsindex) enthalten, die Makroinformationen für die einzelnen Städte bereitstellen, aber nur aus den Rohdaten erzeugt werden können. Die Rohdaten können jedoch nicht weitegegeben werden.\r\n\r\nUm die Armutsquoten aus der SGB II-Statistik zu berechnen, musste auf Daten zu unterschiedlichen Altersgruppen auf der gleichen räumlichen Ebene zurückgegriffen werden. Diese Daten liegen jedoch bei keiner staatlichen Stelle für den benötigten Zeitraum vor (zuletzt für den Zensus 2011). Deshalb wurde GfK Geomarketing damit beauftragt die Daten auf der benötigten räumlichen Ebene zu berechnen."
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