Update on SAS-Activities 2021.
Euler, T., Fiedler, I., Schwabe, U., & Sudheimer, S. (2021). Workshop Update on SAS-Activities 2021, DZHW, Hannover.
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Muster migrationsspezifischer Unterschiede unter Studienberechtigten in Deutschland. Soziale Herkunft – Schulische Leistungen – Bildungsaspirationen.
Sudheimer, S. (2021, März). Muster migrationsspezifischer Unterschiede unter Studienberechtigten in Deutschland. Soziale Herkunft – Schulische Leistungen – Bildungsaspirationen. Vortrag auf der Tagung 7. BIEN Jahrestagung, „Bildung – un.fair.gleichbar?“, Berlin Interdisciplinary Education Research Network (BIEN), Berlin, Deutschland.
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Update on SAS-Activities 2020.
Euler, T., Fiedler, I., Schwabe, U., & Sudheimer, S. (2020). Workshop Update on SAS-Activities 2020, DZHW, Hannover.
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Ethnic Effects at the Transition to Higher Education in Germany - A Differentiated Analysis of the Impact of School Performance and Social Origin.
Sudheimer, S., Mentges, H., & Buchholz, S. (2020, November).
Ethnic Effects at the Transition to Higher Education in Germany - A Differentiated Analysis of the Impact of School Performance and Social Origin.
Online-Vortrag auf der Veranstaltung "LuxERA Conference 2020".
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Patterns of ethnic inequalities at the transition to higher education in Germany. An empirical analysis of primary and secondary effects and educational aspirations of migrant and non-migrant youths.
Sudheimer, S., & Buchholz, S. (2020, November).
Patterns of ethnic inequalities at the transition to higher education in Germany. An empirical analysis of primary and secondary effects and educational aspirations of migrant and non-migrant youths.
Online-Vortrag auf der Veranstaltung "SOCEDUC 2020. Heterogeneity and Inequality: Differentiation in Education and Consequences for Educational Inequalities". University of Bern, Switzerland.
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Survey Attitude Scale (SAS) revised: A Randomized Control Trial among Higher Education Graduates in Germany.
Euler, T., Schwabe, U., Kastirke, N., Fiedler, I., & Sudheimer, S. (2020, September).
Survey Attitude Scale (SAS) revised: A Randomized Control Trial among Higher Education Graduates in Germany.
Poster präsentiert auf der 22. General Online Research Conference (GOR20) in Berlin.
Abstract
Various empirical evidence signals that general attitudes towards surveys do predict willingness to participate in (online) surveys. The nine-item short form of the Survey Attitude Scale (SAS) as proposed by de Leeuw et al. (2010, 2019) differentiates between three dimensions: (i) survey enjoyment, (ii) survey value, and (iii) survey burden. Previous analyses in different datasets have shown that two dimensions do not perform satisfactory with respect to internal consistency and factor loadings in different samples (Fiedler et al. 2019). Referring to de Leeuw et al. (2019), we therefore investigate into the question whether the SAS can be further improved by reformulating single items and adding new ones from existing literature
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Patterns of ethnic inequalities at the transition to higher education in Germany. An empirical analysis of primary and secondary effects and educational aspirations of migrant and non-migrant youths.
Sudheimer, S., & Buchholz, S. (2020, Juli).
Patterns of ethnic inequalities at the transition to higher education in Germany. An empirical analysis of primary and secondary effects and educational aspirations of migrant and non-migrant youths.
Online-Vortrag auf der Veranstaltung "European Consortium for Sociological Research (ECSR) Annual Conference 2020", Amsterdam.
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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): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions?
Fiedler, I., Schwabe, U., Sudheimer, S., Kastirke, N., & Fehring, G. (2019, Juni).
Survey Attitude Scale (SAS): Are Measurements Comparable Among Different Samples of Students from German Higher Education Institutions?
Vortrag auf dem Workshop "Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys"; DZHW, Hannover.
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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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Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys.
Schwabe, U., Kastirke, N., Sudheimer, S., & Fiedler, I. (2019). Workshop Survey Attitude Scale (SAS) und Survey Evaluation (SE) in Online Surveys, DZHW, Hannover.
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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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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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 auf der Konferenz General Online Research 2019 (GOR 19), DGOF, 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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