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49 records from EconBiz based on author Name
1. COVID-19, normative attitudes and pluralistic ignorance in employer-employee relationships
abstractEmployment relationships are embedded in a network of social norms that provide an implicit framework for desired behaviour, especially if contractual solutions are weak. The COVID-19 pandemic has brought about major changes that have led to situations, such as the scope of short-time work or home-based work in a firm. Against this backdrop, our study addresses three questions: first, are there social norms dealing with these changes; second, are there differences in attitudes between employees and supervisors (misalignment); and third, are there differences between respondents' average attitudes and the attitudes expected to exist in the population (pluralistic ignorance). We find that for the assignment of short-time work and of work at home, there are shared normative attitudes with only small differences between supervisors and nonsupervisors. Moreover, there is evidence for pluralistic ignorance; asked for the perceived opinion of others, respondents over- or underestimated the consensus in the (survey) population. Such pluralistic ignorance can contribute to the upholding of a norm even if individuals do not support the norm, with potentially far-reaching consequences for the quality of the employment relationship and the functioning of the organization. Our results show that, especially in times of change, social norms should be considered for the analysis of labour markets.
Abraham, Martin; Collischon, Matthias; Grimm, Veronika; Kreuter, Frauke; Moser, Klaus; Niessen, Cornelia; Schnabel, Claus; Stephan, Gesine; Trappmann, Mark; Wolbring, Tobias;2022
Type: Aufsatz in Zeitschrift; Article in journal;
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Link Link 2. New methods for job and occupation classification
abstractThis dissertation addresses the measurement of occupation in surveys. Many surveys ask respondents about their occupation with open-ended questions. The verbal answers are typically coded after the interview into official classifications (e.g., the 2008 International Standard Classification of Occupations or the 2010 German Classification of Occupations). This process is known to be time-consuming and prone to errors. To counter both issues, the first paper of the dissertation develops and tests a software prototype, which searches for candidate job titles at the time of the interview. A small set of relevant jobs are suggested based on the respondents’ initial verbal input, allowing respondents to select the most appropriate job on their own. A second paper compares various statistical learning algorithms to optimize the suggestions. A novel algorithm was developed employing Bayesian principles, improving the suggestions further. In a third paper, 1226 work activity descriptions were created based on close inspection of the official occupational classifications. These work activity descriptions can be used as answer options in an improved version of the prototype.
Schierholz, Malte; Kreuter, Frauke;2019
Type: Hochschulschrift;
Availability: Link Link Link
3. COVID-19, normative attitudes and pluralistic ignorance in employer-employee relationships
Abraham, Martin; Collischon, Matthias; Grimm, Veronika; Kreuter, Frauke; Moser, Klaus; Niessen, Cornelia; Schnabel, Claus; Stephan, Gesine; Trappmann, Mark; Wolbring, Tobias;2022
Type: Article;
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Link 4. Non‐participation in smartphone data collection using research apps
Keusch, Florian; Bähr, Sebastian; Haas, Georg‐Christoph; Kreuter, Frauke; Trappmann, Mark; Eckman, Stephanie;2022
Type: Article;
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Link 5. Digitalisierung und Demokratie
Buchmann, Johannes; Hofmann, Jeanette; Simon, Judith; Anderl, Reiner; André, Elisabeth; Bäcker, Matthias; Breiter, Andreas; Dienlin, Tobias; Faas, Thorsten; Hepp, Andreas; Hertiwig, Ralph; Herzog, Lisa; Kreuter, Frauke; Lamla, Jörn; Lengauer, Thomas; Löw, Martina; Pfetsch, Barbara; Spieker, Indra; Zürn, Michael;2021
Type: Research Report;
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Link 6. Learning from mouse movements : improving questionnaire and respondents' user experience through passive data collection
abstractWeb surveys have become a standard, and often preferred, mode of survey administration in part because the technology underlying them is much more adaptable. Survey designers often use these technical features to help guide respondents through a survey, by incorporating automated skips, for example. Other features, such as mouse movements, can be used to identify individual respondents that may require attention. Specifically, researchers in a variety of fields have used the total distance traveled, the cursor's trajectory, and specific patterns of movement to measure interest, uncertainty, and respondent difficulty. The current study aims to develop automated procedures for detecting and quantifying difficulty indicators in web surveys. It will use, and build on, indicators that have been identified by prior research. In addition, the current study relies on recent methodological advances in psychology that propose mouse-tracking measures for assessing the tentative commitments to, and conflict between, response alternatives.
Horwitz, Rachel; Brockhaus, Sarah Maria; Henninger, Felix; Kieslich, Pascal J.; Schierholz, Malte; Keusch, Florian; Kreuter, Frauke;2017
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link
7. Misreporting to looping questions in surveys : recall, motivation and burden
abstractFragebögen enthalten oftmals sogenannte "Schleifen" um Daten über ähnliche Ereignisse zu sammeln. Ein Beispiel hierfür sind Frageschleifen über verschiedene Beschäftigungsperioden, Ruhestandskonten, Wohnorte oder Ehen. Mit Hilfe dieser Schleifen werden Informationen über eine Anzahl von erlebten Ereignissen gesammelt, sowie einzelne Details zu jedem Ereignis. In der Praxis kommen zwei verschiedene Formate von Schleifen zur Anwendung, welche unterschiedliche Auswirkungen auf die Qualität der gesammelten Daten haben. Ausgehend von Theorien der Kognitionspsychologie entwickeln und testen wir in diesem Beitrag Hypothesen über die Messfehler, die die verschiedenen Formate mit sich bringen können. Daraus ableitend geben wir Handlungsempfehlungen für alle die Survey Fragen erstellen, oder in ihren Analysen auf Befragungsdaten angewiesen sind.
Eckman, Stephanie; Kreuter, Frauke;2015
Type: Graue Literatur; Non-commercial literature; Arbeitspapier; Working Paper;
Availability: Link Link
8. Learning from mouse movements: Improving questionnaire and respondents' user experience through passive data collection
Horwitz, Rachel; Brockhaus, Sarah Maria; Henninger, Felix; Kieslich, Pascal J.; Schierholz, Malte; Keusch, Florian; Kreuter, Frauke;2017
Type: Working Paper;
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9. Datenanalyse mit Stata : allgemeine Konzepte der Datenanalyse und ihre praktische Anwendung
abstractVerlagsbeschreibung: Dieses Buch bietet eine Einführung in das Datenanalysepaket Stata und ist zugleich das einzige Buch über Stata, das auch Anfängern eine ausreichende Erklärung statistischer Verfahren liefert. "Datenanalyse mit Stata" ist kein Befehls-Handbuch sondern erläutert alle Schritte einer Datenanalyse an praktischen Beispielen. Damit eignet sich diese Buch als Einstieg in Data Analytics in allen Disziplinen. Die neue Auflage bietet einen systematischeren Zugang zum Datenmanagement in Gegenwart von "Missing Values" und behandelt die in der Stata-Programmversion 14 implementierte Unicode-Codierung.
Kohler, Ulrich; Kreuter, Frauke;2017
Type: Einführung; Abriss; Leitfaden; Programmierte Einführung
10. Paradata
Kreuter, Frauke; Casas-Cordero, Carolina;2010
Type: Arbeitspapier; Working Paper; Graue Literatur; Non-commercial literature;
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