So You Want to Create a Survey: Unlocking Insights in Your Data

Are you ready to take your survey data skills to the next level? Join us for part two of our survey-focused Open Lab series, where we dive into some useful methods to analyze survey data and turn raw responses into actionable insights. 

This session presented by Abimelec ‘Abi’ Mercado Rivera from the Unit for Data Science and Analytics builds on the foundation of survey design and factor analysis from part one, equipping you with practical tools for explorative data analysis, regression modeling, and handling common challenges like missing data. 

Whether you are studying public opinion, customer satisfaction or educational outcomes, the methods we will discuss are sure to help you uncover valuable insights and relationships in your data. 

Key topics include: 

• Logistic Regression: Predict binary outcomes (e.g., yes or no responses) and discover meaningful relationships between variables. 
• Linear Regression with Interaction Effects: Model continuous outcomes and explore how relationships change based on context or demographics. 
• Dealing with Missing Data: Understand strategies to manage incomplete responses, including imputation methods and their implications. 

This Open Lab will help you know what to do once you have finished collecting data with your survey and tested your constructs using real-world examples and user-friendly tools like SPSS. Leave with a deeper understanding of how to confidently analyze survey data and present findings that resonate with your audience. Don’t miss this opportunity to elevate your survey game; reserve your spot and join us for part two of our survey series!