Description:

This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research.

Start: Wednesday, 29 January 2025 @ 17:00

End: Friday, 31 January 2025 @ 23:00

Timezone: Sydney

Learning Objectives:

Topics Covered
Role of Questionnaires , Conceptual Framework , Research Goals , Survey Design Principles , Grouping Topics Together , Order Effects , Bias Prevention , Fatigue Effects , Scale Types , Open Questions , Closed Questions , Pre-coding , Spontaneous Questions , Prompted Questions , Balanced vs Unbalanced Scales , Real-Life Examples , Hands-On Exercises , Group Activities , Recall Period , Telescoping , Aided Recall , Ambiguity Reduction , Optimization of Wording , Question Order , Question Clarity ,
Audience Analysis ,
Context Specificity , Types of Social Desirability Bias , Solution Approaches , Real-Life Exercises , Peer-Feedback

Eligibility:
  • Open to all

Organiser: Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics

Contact: info@instats.org

Host institution: Instats

Cost Basis: Free to all

Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []