Suchergebnisse

Abstract
The widespread usage of smartphones, as well as their technical features, offers many opportunities for survey research. As a result, the importance and popularity of smartphone surveys is steadily increasing. To explore the feasibility of a new text-to-web approach for surveying people directly via their smartphones, we conducted a case study in Germany in which we recruited respondents from a mobile random digit dialing sample via text messages that included a link to a web survey. We show that, although this survey approach is feasible, it is hampered by a number of issues, namely a high loss of numbers at the invitation stage, and a high rate of implicit refusals on the landing page of the survey.

Abstract
Referring to the concept of the 'mobility regime' this study aims to gain a deeper understanding of the interrelations between internationalisation of higher education and individual perceptions of members of the academic system. Academics and students in Germany, both with and without international experience, were interviewed in order to find indications how the mobility regime dimensions of normalisation, rationalisation and time-space compression are structured particularly in the academic system. Using an exploratory research design and qualitative content analysis to interpret data of in-depth interviews helps to understand the specific shape of the regime dimensions. We reconstruct how dimensions of a mobility regime are perceived across all sampling groups. Slight group differences in the perceptions of single dimensions provide additional insights. We propose the specific concept of an 'academic mobility regime' in order to capture the specifics of the mobility regime in the academic system.

Das hier vorliegende Dokument beschreibt die strategische Ausrichtung der German Longitudinal Election Study (GLES) zur Förderung von Open Science (Offene Wissenschaft). Hierbei wird anhand von vier Grundpfeilern des Konzepts von Open Science - Open Methodology, Open Data, Open Source und Open Access - dargestellt, in welchen Bereichen die GLES derzeit gut abschneidet, in
welchen Bereichen noch Verbesserungspotentiale vorhanden sind und welche Maßnahmen eingeleitet werden sollen, um die GLES nach Open Science Grundsätzen auszurichten. Die Umsetzung dieser Maßnahmen ist als langfristiger Prozess gedacht, bei dem existierende und neue Arbeitsprozesse sich am Ideal einer offenen Wissenschaftspraxis orientieren sollen. Ziel der hier vorgestellten Strategie soll es sein, sowohl Prozesse der Datenerhebung und Datenaufbereitung offen und transparent zu gestalten, als auch Forschende aktiv beim Praktizieren einer offenen Wissenschaft zu unterstützen. Das Dokument wurde von den Autor*innen in enger Rücksprache mit dem gesamten GLES Team bei GESIS und der Koordinierungsgruppe (KG) der GLES verfasst.

The GLES Open Science Challenge 2021 was a pioneering initiative in quantitative political science. Aimed at increasing the adoption of replicable and transparent research practices, it led to this special issue. The project combined the rigor of registered reports - a new publication format in which studies are evaluated prior to data collection/access and analysis - with quantitative political science research in the context of the 2021 German federal election. This special issue, which features the registered reports that resulted from the project, shows that transparent research following open science principles benefits our discipline and substantially contributes to quantitative political science. In this introduction to the special issue, we first elaborate on why more transparent research practices are necessary to guarantee the cumulative progress of scientific knowledge. We then show how registered reports can contribute to increasing the transparency of scientific practices. Next, we discuss the application of open science practices in quantitative political science to date. And finally, we present the process and schedule of the GLES Open Science Challenge and give an overview of the contributions included in this special issue.

AbstractThe GLES Open Science Challenge 2021 was a pilot project aimed at demonstrating that registered reports are an appropriate and beneficial publication format in quantitative political science that helps to increase transparency and replicability in the research process and thus yields substantial and relevant contributions to our discipline. The project resulted in the publication of this special issue, which includes seven registered reports based on data from the German Longitudinal Election Study (GLES) collected in the context of the 2021 German federal election. This concluding article of the special issue brings together the perspectives of the participating authors, reviewers, organizers, and editors in order to take stock of the different experiences gained and lessons learned in the course of the project. We are confident that future projects of a similar nature in political science, as well as authors, reviewers, and editors of registered reports, will benefit from these reflections.

The GLES Open Science Challenge 2021 was a pilot project aimed at demonstrating that registered reports are an appropriate and beneficial publication format in quantitative political science that helps to increase transparency and replicability in the research process and thus yields substantial and relevant contributions to our discipline. The project resulted in the publication of this special issue, which includes seven registered reports based on data from the German Longitudinal Election Study (GLES) collected in the context of the 2021 German federal election. This concluding article of the special issue brings together the perspectives of the participating authors, reviewers, organizers, and editors in order to take stock of the different experiences gained and lessons learned in the course of the project. We are confident that future projects of a similar nature in political science, as well as authors, reviewers, and editors of registered reports, will benefit from these reflections.

The GLES Open Science Challenge 2021 was a pilot project aimed at demonstrating that registered reports are an appropriate and beneficial publication format in quantitative political science that helps to increase transparency and replicability in the research process and thus yields substantial and relevant contributions to our discipline. The project resulted in the publication of this special issue, which includes seven registered reports based on data from the German Longitudinal Election Study (GLES) collected in the context of the 2021 German federal election. This concluding article of the special issue brings together the perspectives of the participating authors, reviewers, organizers, and editors in order to take stock of the different experiences gained and lessons learned in the course of the project. We are confident that future projects of a similar nature in political science, as well as authors, reviewers, and editors of registered reports, will benefit from these reflections.