This three-part series of short on-demand webinars provides a high level overview of the design, execution, and analysis of an online research survey. Covering everything from building a survey team, to sampling techniques, to data collection and preparation for publication, this series will position investigators for success and protect the time and attention of busy survey respondents. If you are interested in submitting a survey for dissemination to PeDRA and/or SPD members, please visit our survey page to learn more and apply.
Each on-demand webinar includes multiple chapters addressing important topics related to survey design, execution, and analysis. Use the scroll bar in the video window after clicking “Watch Now” to navigate between the chapters.
Part 1: Laying the Foundation for a Successful Survey
ON-DEMAND
Chapter 1: Introduction
Chapter 2: Building a Team
Chapter 3: Characteristics of a Good Objective
Chapter 4: Qualitative vs. Quantitative Surveys
Part 2: Designing an On-Line Survey
ON-DEMAND
Chapter 1: Sampling Techniques
Chapter 2: Samples Sources and Size
Chapter 3: Sample Size for Qualitative vs. Quantitative Surveys
Part 3: Preparing a Survey and Gathering Data
ON-DEMAND
Chapter 1: The Survey Outline
Chapter 2: Validity vs. Reliability
Chapter 3: Types of Data
Chapter 4: Data Collection and Reporting Considerations
Presenter
Erin Schulz, MS
UX and Market Researcher
LaunchBox
For nearly 20 years, Erin Schulz has been a principal researcher at LaunchBox, a research firm in the Pacific Northwest. At LaunchBox, Erin works with clients in designing and conducting primary research (quantitative and qualitative). She has worked on a variety of projects, for example, those related to healthcare (including NIH grants), consumer technology, aerospace, and recreation. Prior to joining LaunchBox, she was a researcher at Intel, Microsoft, and Boeing with a focus on human-computer interaction and the user experience.
In her career as a researcher, it became increasingly clear that decision makers, as consumers of research, could benefit from a solid understanding of basic research methods. For over a decade, she had the pleasure of teaching research methods at the University of Washington Graduate School, department of Human Centered Design & Engineering. Erin is particularly interested in research methodology, specifically the role and interpretation of inferential statistics and distinctions between quantitative and qualitative methods.
She holds a BA in English and MS in Human Centered Design & Engineering from the University of Washington. Erin is also a former reviewer for the IEEE Transactions on Professional Communication with a focus on empirical studies.