FREE Webinar: Measuring What Matters: Validity and Reliability in Quantitative Survey Research

In quantitative research, your results can only be as strong as the measures behind them. But many doctoral students move ahead with correlations, regressions, SEM, or PROCESS models without feeling fully confident about validity and reliability; often realizing something’s missing only when a committee member or reviewer points it out.

In this webinar, Carmen Stindt, MSc, a statistician and quantitative research consultant, clarifies and makes validity and reliability clearer, more approachable, and less intimidating. She breaks down what these concepts actually mean in practice, why they matter before hypothesis testing, and how to handle them in ways that meet doctoral-level expectations.

Using real dissertation examples and common postgraduate missteps, Carmen walks you through how to think about measurement decisions, how to justify them in your writing, and how to explain them confidently when questions come up. Whether you’re choosing an existing scale or building your own survey, this session will help you feel more grounded and prepared.

What You’ll Learn:

• Why validity and reliability matter before you run any analyses
• The main types of validity, and how to know which ones apply to your study
• Common reliability misunderstandings (yes, including Cronbach’s alpha)
• How to evaluate and justify survey instruments without overcomplicating things
• What examiners actually look for in proposals and final chapters
• Common doctoral-level mistakes and how to avoid them
• How to talk about your measurement choices with confidence

Who Should Attend:Doctoral students using quantitative or mixed-methods designs, especially those working with surveys, scales, or questionnaires and wanting clearer, more practical guidance.

Date & Time
🗓️ Thursday, January 15th
⏰ 1:00–2:00 PM EST (New York Time)

Taught by: Carmen Stindt