Emilia Peytcheva is a senior survey methodologist at RTI International and an adjunct assistant professor at the University of North Carolina, Chapel Hill, USA. She holds a Ph.D. in survey methodology from the University of Michigan and has 25 years of experience designing and implementing surveys in different modes.Ting Yan is a Vice President at NORC at the University of Chicago, USA, and an adjunct research associate professor at the University of Maryland and University of Michigan, USA. She holds a Ph.D. in Survey Methodology from the University of Maryland and has more than 25 years of experience in questionnaire design and evaluation. She has published extensively on survey methodology.

• Part I: Survey Response Model and Questionnaire Design 1. Introduction 2. Survey Response Model 3. Writing Behavioral Questions 4. Writing Attitudinal Questions 5. Writing Demographic and Knowledge Questions; Part II: Specific Considerations 6. Writing Sensitive Questions and Questions for Sensitive Populations 7. Design of Paper Surveys 8. Design of Web and Mobile Web Surveys 9. Designing Multimode Surveys 10. Design of Multiregion, Multiculture, and Multilanguage Surveys; Part III: Questionnaire Evaluation and Testing 11. Lab-based Methods 12. Expert Methods 13. Field-based Methods 14. Usability Testing 15. Use of Artificial Intelligence (AI) and Generative AI (GAI) for Questionnaire Design and Evaluation

Emilia Peytcheva is a senior survey methodologist at RTI International and an adjunct assistant professor at the University of North Carolina, Chapel Hill, USA. She holds a Ph.D. in survey methodology from the University of Michigan and has 25 years of experience designing and implementing surveys in different modes.Ting Yan is a Vice President at NORC at the University of Chicago, USA, and an adjunct research associate professor at the University of Maryland and University of Michigan, USA. She holds a Ph.D. in Survey Methodology from the University of Maryland and has more than 25 years of experience in questionnaire design and evaluation. She has published extensively on survey methodology.

• Part I: Survey Response Model and Questionnaire Design 1. Introduction 2. Survey Response Model 3. Writing Behavioral Questions 4. Writing Attitudinal Questions 5. Writing Demographic and Knowledge Questions; Part II: Specific Considerations 6. Writing Sensitive Questions and Questions for Sensitive Populations 7. Design of Paper Surveys 8. Design of Web and Mobile Web Surveys 9. Designing Multimode Surveys 10. Design of Multiregion, Multiculture, and Multilanguage Surveys; Part III: Questionnaire Evaluation and Testing 11. Lab-based Methods 12. Expert Methods 13. Field-based Methods 14. Usability Testing 15. Use of Artificial Intelligence (AI) and Generative AI (GAI) for Questionnaire Design and Evaluation

Emilia Peytcheva is a senior survey methodologist at RTI International and an adjunct assistant professor at the University of North Carolina, Chapel Hill, USA. She holds a Ph.D. in survey methodology from the University of Michigan and has 25 years of experience designing and implementing surveys in different modes.Ting Yan is a Vice President at NORC at the University of Chicago, USA, and an adjunct research associate professor at the University of Maryland and University of Michigan, USA. She holds a Ph.D. in Survey Methodology from the University of Maryland and has more than 25 years of experience in questionnaire design and evaluation. She has published extensively on survey methodology.

• Part I: Survey Response Model and Questionnaire Design 1. Introduction 2. Survey Response Model 3. Writing Behavioral Questions 4. Writing Attitudinal Questions 5. Writing Demographic and Knowledge Questions; Part II: Specific Considerations 6. Writing Sensitive Questions and Questions for Sensitive Populations 7. Design of Paper Surveys 8. Design of Web and Mobile Web Surveys 9. Designing Multimode Surveys 10. Design of Multiregion, Multiculture, and Multilanguage Surveys; Part III: Questionnaire Evaluation and Testing 11. Lab-based Methods 12. Expert Methods 13. Field-based Methods 14. Usability Testing 15. Use of Artificial Intelligence (AI) and Generative AI (GAI) for Questionnaire Design and Evaluation