PART 1 | Survey Data Essentials: From Better Questions to Better Insights | Survey Design — Asking Better Questions

Join us for Part 2 of our Survey Data Essentials series with Joy Liu: Survey Design — Asking Better Questions.

Learn how to design effective surveys, select meaningful variables, and avoid common pitfalls that can compromise data quality.

Good analysis starts with good data. This introductory session explores how survey data are created, from defining a research purpose and identifying key constructs to designing questions, response options, and the overall survey structure. Participants will learn practical principles for collecting data that are clear, consistent, and suitable for analysis.

Series Takeaways

• Learn how to design surveys and questions that produce clear, reliable, and useful data;
• Learn how to select an appropriate sample and recognize factors that can affect the representativeness and quality of your data and;
• Learn how to turn survey responses into meaningful insights through data preparation, visualization, and basic statistical analysis.

PART 3 | Register Here

Meet Your Presenter - Joy Liu, Dalhousie University

Joy is a data-driven researcher with expertise in transforming complex datasets into clear, actionable insights using R, SQL, and advanced analytical tools.

Her work focuses on statistical modelling, data quality, and translating technical findings into accessible information that supports informed decision-making. With strengths in research, technical communication, and emerging AI-supported approaches, Joy brings a thoughtful and analytical perspective to helping organizations better understand their data and apply it effectively.