Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14123/1622
Full metadata record
FieldValue
Original TitleDaten zur Dissertation "Reasons or Principles: What makes for a better decision?"
Handle20.500.14123/1622
Kinds of DataSurvey Data
Measurement Data / Measured Values
Statistical Evaluations / Tables
Programs and Applications
Models / Modellings
Survey Instruments / Measuring Instruments
Context Materials / Supporting information
Resource TypeDataset
CreatorBotros, Christina
Description of the DatasetThe dataset contains the essential data for the empirical part of the dissertation "Reasons or Principles: What makes for a better decision?". This empirical part consists of three investigations: the pilot study, questionnaires and experiments. The pilot study explored the empirical feasibility of the research project and set the stage. The questionnaire projects constructed and validated three questionnaires: the Strategy Satisfaction Questionnaire (SSQ), the Decision Style Questionnaire (DSQ), and the Decision Categorization Scales (DCSs).The last study was devoted to the question whether it is using reasons or principles for decision making that leads to greater satisfacition. Three experiments are reported, two used a well-researched paradigm (the Trolley paradigm, the MADM paradigm), and one was a field experiment.
MethodsComputer-assisted questionnaire
Experiment (Web-based)
KeywordsEntscheidung; Entscheidungsfindung; Strategie; Psychologie; Abwägung; Argumentation; Glück; Zufriedenheit; Moral; Decision; Decision Making; Strategy; Psychology; Deliberation; Reasoning; Happiness; Satisfaction; Moral
Thematic ClassificationEntscheidungspsychologie
Language of the ResourceGerman
GeolocationCountry: Germany
Time Period of the Creation of the Dataset2015 - 2017
Date of Availability2024-11-25T13:41:39Z
Date of issue2024-11-25
Archiving Facility Medien- und Informationszentrum (Leuphana Universität Lüneburg  02w2y2t16)
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
  Related Resources
Superordinate Data Collection: PhD Data Botros
FieldValue
Academic DisciplineHumanities and Social Sciences / Psychology
Humanities and Social Sciences / Philosophy
Participating ResearchersBotros, Christina

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