Enhance your research skills with expert-led training on measurement, data management, and open science practices! Are you a PhD student choosing or developing a measurement tool but you’re not sure where to start? Do you wish you knew more about foundational research skills, such as open science practices and data management? Are you excited about interdisciplinary training opportunities? You’ve come to the right place!
Measurement is at the heart of empirical research across disciplines. In the social sciences, surveys and measurement tools are widely used to assess opinions, behaviours, and attitudes. Alongside effective measurement, open science and proper data management are essential for ensuring research transparency, reproducibility, and integrity.
About the Event: This Spring into Methods training event is designed to provide doctoral students from all disciplines with:
- A comprehensive understanding of the significance and relevance of measurement in their fields – Essential skills for conducting tests of reliability and validity to ensure sound empirical measurement
- Practical training in effective data management and open science practices
Session Overview
Session 1: Foundational Skills
Data Management Using Open Science Learn how open science principles apply to your research and explore efficient, accurate, and transparent data-handling techniques.
Session 2: Measuring What Matters
Understand why rigorous measurement is crucial and learn how to develop a reliable and valid scale step by step.
Session 3: Hands-On Measurement Modelling
Apply your knowledge to conduct a measurement model on a mock dataset (or your own), guided by expert instruction (or use this time to develop your own survey questions)
Session 4: Open Q&A and Practical Application
Work hands-on with your dataset, refine your measurement models or survey items, and receive personalised feedback from the facilitators.
Accessibility & Format
Hybrid event – Attend in-person or online
Recorded sessions – Re-watch the material anytime.
Closed captioning – Available for online participants
Hands-on, interactive learning – Work with real datasets using university-provided or personal devices
No advanced prior knowledge is required—just basic familiarity with datasets and statistics. Whether you’re developing a new survey, hoping to improve your research transparency, or refining data management techniques, this event will equip you with the skills needed to conduct high-quality scientific research.
Dates: 12 & 13 May, 9-5pm (Each day)
Venue: University of Dundee (room TBD) or online