Best Practices for Survey Research

This webinar provides a comprehensive guide to creating impactful online surveys. Starting with establishing clear objectives, you will learn how to build a hierarchical structure that aligns questions with research objectives without overwhelming respondents. Matt Hilburn will lead a discussion of best practices for questionnaire writing, including avoiding biases, question randomization, survey flow, and more. He will also discuss the role of open-ended questions in an online survey. Matt will discuss survey analysis plans and teach you how to develop surveys with the end in mind, ensuring each variable needed for any modeling is the correct data type and structure. You will learn to rigorously review your survey against the objectives to prevent scope creep and ensure every question is purposeful. Programmatic issues such as effective screener questions and setting quotas will also be discussed. Finally, he will review proper survey quality checks, including value recoding, spell checking, and pre-testing the survey to identify and correct potential issues before deployment. By the end of this webinar, you will be equipped with the knowledge and skills to design concise, effective, and engaging online surveys that yield reliable data for your research project. Matt Hilburn is a freelance marketing research statistician that has worked in marketing research for 15 years. He holds a Master of Statistics in Econometrics and a Bachelor of Science in Economics and Business. Matt has a passion for translating technical findings into everyday language for informed decision making. He enjoys the full market research process and has used advanced analytics to conduct large scale projects and provide data-centric reports to executives of Fortune 100 companies down to the smallest non-profits. Matt’s passion for research design lends itself well to both qualitative and quantitative research. Matt has also been an instructor at the University of Utah Business School and a developer of many data analytics courses and certificates.