Validity in Research Explained: Face Validity, Content Validity, and Pilot Testing

📥 Resources from This Session 1. Presentation slide - Reliability vs Validity Without the Confusion https://doi.org/10.6084/m9.figshare.3... 2. Practice Datasets: https://doi.org/10.6084/m9.figshare.3... In this Day 1 workshop, we explain validity in research using simple, practical examples for students, researchers, thesis writers, and applied research professionals. The session focuses on three practical strategies commonly used when developing, adapting, or reviewing a questionnaire: Face validity – checking whether the questionnaire appears appropriate, clear, and relevant for measuring the intended concept. Content validity – using expert review to assess whether the items adequately cover the main parts of the construct. Pilot testing – testing the questionnaire with a small group similar to the study population to identify unclear wording, feasibility issues, completion time, response patterns, and early reliability concerns. Using questionnaire examples, this video shows how to move beyond vague statements such as “the instrument was validated” and instead explain the actual steps taken to improve and justify a research tool. This session is useful for anyone working on questionnaires for theses, dissertations, manuscripts, public health research, social science research, education research, and health-related studies. By the end of this session, you should be able to: • Explain what face validity means • Describe how content validity is assessed through expert review • Understand the role of pilot testing before main data collection • Write a clearer and more defensible validation section in your methodology Keywords: validity in research, face validity, content validity, pilot testing, questionnaire validation, instrument validation, expert review, research methodology, thesis writing, dissertation research, public health research.