Presentations and conferences

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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.

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.

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).

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...

Herausforderungen der Datenkuratierung von qualitativen Forschungsdaten in der Hochschul- und Wissenschaftsforschung.

Be¨irović, A., & Īkiz, D. (2019, März).
Herausforderungen der Datenkuratierung von qualitativen Forschungsdaten in der Hochschul- und Wissenschaftsforschung. Vortrag auf dem 1. aviDa-Workshop Infrastrukturen für Forschungsdaten der qualitativen Sozialforschung - Erfordernisse und Herausforderungen, TU Berlin.

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).

13. Workshop der Panelsurveys im deutschsprachigen Raum.

Daniel, A., & de Vogel, S. (2019, März).
13. Workshop der Panelsurveys im deutschsprachigen Raum. Hannover: DZHW.

9. Workshop zur Datenaufbereitung und Dokumentation.

Daniel, A., & de Vogel, S. (2019, März).
9. Workshop zur Datenaufbereitung und Dokumentation. Hannover: DZHW.

Participation in panel surveys: Do the survey topic and personal success matter? First insights from analyzing panel attrition in the NEPS Starting Cohort First-Year Students.

Liebeskind, U., & Vietgen, S. (2017, Oktober).
Participation in panel surveys: Do the survey topic and personal success matter? First insights from analyzing panel attrition in the NEPS Starting Cohort First-Year Students. Oral presentation at the 2nd International NEPS Conference, LIfBi Bamberg.

Experimental Study on the Methodology of Online Surveys (ESMO): Design of a Randomized Controlled Trial Among Students in Germany.

Kastirke, N. (2017, Juli).
Experimental Study on the Methodology of Online Surveys (ESMO): Design of a Randomized Controlled Trial Among Students in Germany. Poster präsentiert auf der 7th Conference of the European Survey Research Association (ESRA) in Lissabon, Portugal.
Abstract

Switching from paper questionnaires to online surveys presents massive methodological challenges. To date, little is known about how these surveys have to be designed in order to achieve the highest possible data quality and to continue existing time series. Therefore, an Experimental Study on the Methodology of Online Surveys (ESMO 1) will be carried out in 2017. About 25,000 participants of a randomly recruited online access panel of German students are invited. They are randomly assigned to various conditions of eight scenarios assumed to influence response behavior. At the conference we will present the complete RCT design and initial results

FDZ-DZHW: Nutzung & Überlassung von Daten der Hochschul- und Wissenschaftsforschung.

Buck, D., & Scheller, P. (2017, Juli).
FDZ-DZHW: Nutzung & Überlassung von Daten der Hochschul- und Wissenschaftsforschung. Vortrag an der HU Berlin.

And yet, they move: How a migration background influences study abroad intentions in Germany .

Sarcletti, S., & Netz, N. (2017, März).
And yet, they move: How a migration background influences study abroad intentions in Germany . Vortrag auf der 12. Jahrestagung der Gesellschaft für Hochschulforschung, DZHW/Leibniz Universität, Hannover.

Die Aufnahme und Bereitstellung von Daten im FDZ der Hochschul- und Wissenschaftsforschung.

Scheller, P., & Buck, D. (2017, März).
Die Aufnahme und Bereitstellung von Daten im FDZ der Hochschul- und Wissenschaftsforschung. Vortrag im Workshop "Forschungsfeldbezogene Daten am DZHW", HoFoNa-Tag auf der 12. GfHf-Jahrestagung in Hannover .

Educational Data Package. A Pilot Project at the German Research Data Centre for Higher Education Research and Science Studies.

Stephan, K.; Buck, D.; & Kretzmeyer, B. (2017, März).
Educational Data Package. A Pilot Project at the German Research Data Centre for Higher Education Research and Science Studies. Lightning Talk und Posterpräsentation auf der Open Science Conference 2017, Leibniz Research Alliance Science 2.0, Berlin.

And yet, they move: How a migration background influences study abroad intentions in Germany.

Sarcletti, S., & Netz, N. (2017, März).
And yet, they move: How a migration background influences study abroad intentions in Germany. Vortrag auf der 5. Tagung der Gesellschaft für Empirische Bildungsforschung, Universität Heidelberg.

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Karsten Stephan
Dr. Karsten Stephan Deputy Head +49 511 450670-415

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