Domain-Data-Protokolle für die empirische Bildungsforschung (DDP-Bildung).
Gärtner, A. (2020, März).
Domain-Data-Protokolle für die empirische Bildungsforschung (DDP-Bildung). Pecha-Kucha-Impulsvortrag auf dem Survey Lifecycle Operators Workshop (SLOW), Deutsches Jugendinstitut München.
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Dokumentation von Online-Fragebögen.
Weber, A. (2020, März).
Dokumentation von Online-Fragebögen. Pecha-Kucha-Impulsvortrag auf dem Survey Lifecycle Operators Workshop (SLOW), Deutsches Jugendinstitut München.
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Eurostudent VII micro data for International Research & Statistical non profit purposes.
Hauschildt, K., Cuppen, J. , Buck, D., & Daniel, A. (2020, Februar).
Eurostudent VII micro data for International Research & Statistical non profit purposes. Vortrag auf dem EUROSTUDENT Researchers' Forum 2020, Vilnius, Litauen.
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Zum Standort der qualitativen Sozialforschung in der Hochschulforschung.
Behrmann, L., İkiz-Akıncı, D., & Rückamp, V. (2019, Oktober).
Zum Standort der qualitativen Sozialforschung in der Hochschulforschung. Vortrag am Workshop-Tag des Forschungscluster Methoden: "Qualitative Hochschul- und Wissenschaftsforschung", DZHW Hannover.
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Qualitative Hochschul- und Wissenschaftsforschung.
Behrmann, L., Be¨irović, A., İkiz-Akıncı, D., & Rückamp, V. (2019, Oktober).
Qualitative Hochschul- und Wissenschaftsforschung. Workshop-Tag des Forschungscluster Methoden mit Beate Littig und Margrit Schreier, DZHW Hannover.
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Survey Attitude Scale (SAS): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions?
Fiedler, I., Schwabe, U., Sudheimer, S., Kastirke, N., & Fehring, G. (2019, September).
Survey Attitude Scale (SAS): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions? Vortrag auf dem "Brownbag"-Treffen des Forschungsclusters "Empirische Methoden der Hochschul- und Wissenschaftsforschung" am DZHW, Hannover.
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What Predicts the Validity of Self-Reported Paradata? Results from the German HISBUS Online Access Panel.
Kastirke, N., Sudheimer, S., Fehring, G., & Schwabe, U. (2019, Juli).
What Predicts the Validity of Self-Reported Paradata? Results from the German HISBUS Online Access Panel. Poster präsentiert auf der 8th Conference of the European Survey Research Association (ESRA 2019), Universität Zagreb, Kroatien.
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Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys.
Schwabe, U., Kastirke, N., Sudheimer, S., & Fiedler, I. (2019, Juni).
Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys. Workshop, DZHW, Hannover, 27. und 28. Juni 2019.
Abstract
Vor dem Hintergrund sinkender Rücklaufquoten, auch in Online-Surveys, stellt die Rekrutierung von Befragungspersonen eine zunehmend komplexe Herausforderung dar, die eine Auseinandersetzung mit den Determinanten für die Befragungsteilnahme notwendig erscheinen lässt (Konradt & Fary 2006, Krieger 2018, Meyer et al. 2015, Stoop et al. 2010). Diese Teilnahmebereitschaft hängt sowohl von situativen Faktoren, wie der Themensalienz, als auch von individuellen Dispositionen, wie der allgemeinen Einstellung gegenüber Befragungen (de Leeuw et al. 2017; Jungermann & Stocké 2017; Stocké 2006), ab. Die Survey Attitude Scale (SAS/ATS; de Leeuw et al. 2010) könnte ein geeignetes Messinstrument sein, um diese Befragungseinstellung zu erfassen...
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Applying Latent Trait Theory for Defining Empirical Thresholds of Survey Attitudes.
Kastirke, N. (2019, Juni).
Applying Latent Trait Theory for Defining Empirical Thresholds of Survey Attitudes. Vortrag auf dem Workshop "Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys"; DZHW, Hannover.
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Entwicklung und Betrieb eines Metadatenmanagementsystems für Forschungsdaten aus dem Bereich der Hochschul- und Wissenschaftsforschung - Lessons Learned.
Stephan, K., & Reitmann, R. (2019, Juni).
Entwicklung und Betrieb eines Metadatenmanagementsystems für Forschungsdaten aus dem Bereich der Hochschul- und Wissenschaftsforschung - Lessons Learned. Vortrag auf der 8. Konferenz der Zentralbibliothek, Forschungszentrum Jülich, Jülich.
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Erheben und Auswerten von Paradaten bei Onlinebefragungen.
Kastirke, N., & Schwabe, U. (2019, Mai).
Erheben und Auswerten von Paradaten bei Onlinebefragungen. Workshop auf dem Forschungstag 2019; DZHW, Hannover.
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1st International DZHW User Conference on Dynamics in the Student and Academic Life Course.
Gärtner, A., Scheller, P., & Daniel, A. (2019, Mai).
1st International DZHW User Conference on Dynamics in the Student and Academic Life Course. Hannover: DZHW.
Abstract
The first international user conference provides the opportunity to present and discuss research results which deal with the student and academic life course from a longitudinal perspective. Contributions to the conference should preferably address a topic from the following areas: Determinants of educational pathways, career paths and returns, careers in science, internationalization. Quantitative, qualitative, and mixed method research results are equally welcome. The conference addresses researchers at different stages of their academic career, early stage researchers as well as PhDs and other senior researchers. Users of DZHW data are especially encouraged to present their findings.
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Sequence Analysis in Higher Education Trajectories. Methodological Training Course for User. Trainer: Dr. Christian Brzinsky-Fay.
Gärtner, A., Scheller, P., & Daniel, A. (2019, Mai).
Sequence Analysis in Higher Education Trajectories. Methodological Training Course for User. Trainer: Dr. Christian Brzinsky-Fay. Hannover: DZHW.
Abstract
The course will introduce participants in the logic and application of the explorative method of social sequence analysis. The participants will learn which kind of research questions can be answered and how they can implement this practically by using the user-written sq-ado and the sadi-plugin for the software Stata. The course includes examples and practical exercises with data provided by the DZHW (DZHW Graduate Panel 2009).
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What Predicts the Validity of Self-Reported Paradata? Results from the German HISBUS Online Access Panel.
Kastirke, N., Sudheimer, S., Fehring, G., & Schwabe, U. (2019, März).
What Predicts the Validity of Self-Reported Paradata? Results from the German HISBUS Online Access Panel. Poster präsentiert auf der General Online Research (GOR19), Köln.
Abstract
Paradata, such as user agent strings (UAS), provide us with important client-side information about the technical conditions of web surveys. If due to different reasons for example data protection issues UAS are not available, one may directly ask survey participants for the required data. Until now it is unclear whether the validity of these self-reported paradata is determined by participants' general attitudes towards surveys, their willingness to participate and - in connection with technically demanding questions - distraction while answering.
To shed light into the question what predicts the consistency between UAS and self-reported paradata, we use the HISBUS Online Access Panel. The sample comprised 3.137 members with UAS...
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Survey Attitude Scale (SAS): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions?
Fiedler, I., Schwabe, U., Sudheimer, S., Kastirke, N., & Fehring, G. (2019, März).
Survey Attitude Scale (SAS): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions? Poster präsentiert auf der 21. General Online Research Conference (GOR19), Köln.
Abstract
Besides others, general attitudes towards surveys are part of respondent's motivation for survey participation. There is empirical evidence that these attitudes do predict participant's willingness to perform supportively during (online) surveys (de Leeuw et al. 2017; Jungermann/Stocké 2017; Stocké 2006). Hence, the Survey Attitude Scale (SAS) as proposed by de Leeuw et al. (2010) differentiates between three dimensions: (i) survey enjoyment, (ii) survey value, and (iii) survey burden. Referring to de Leeuw et al. 2017, we investigate into the question whether the SAS measurements can be compared across different online survey samples of students from German Higher Education Institutions (HEI).
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