Survey Methods for Medical and Health Professions Education - E-Book: Survey Methods for Medical and Health Professions Education - E-BookOffering a practical, six-step approach to effective survey design, delivery, and analysis, Survey Methods for Medical and Health Professions Education provides a real-world framework for successful research and evaluation using surveys. Focused on medical and other health professional education research, this unique text features quick-reference checklists, high-yield explanations, and case examples throughout, making it both a foundational reference and a go-to resource for all health professions educators and researchers who use surveys. - Provides a detailed and practical discussion of the steps in survey methodology, along with just enough theory to inform common decisions. - Includes numerous real-world examples, both simple and complex, covering the wide range of problems researchers are likely to face. - Addresses issues of survey fatigue and addresses the challenge of how to get "good data." - Features "Voice of Experience" boxes—pearls based on authors' actual experiences. - Concludes each chapter with a checklist so readers can quickly ensure they have covered every necessary step of survey design and implementation. - Contains a convenient glossary of terms. - Offers guidance from expert international contributors in medical and health professions research. - Summarizes the most current standards and understanding of survey research so that experienced and novice researchers alike can directly apply content to improve research rigor. |
Contents
| 1 | |
| 5 | |
Step 2 Survey Construction | 19 |
Step 3 Establishing Evidence | 37 |
Step 4 Survey Delivery | 53 |
Step 5 Data Analysis | 65 |
Step 6 Reporting Guidelines | 83 |
Concluding Thoughts | 101 |
Appendix 1 Example Worksheet for Study Planning | 103 |
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Common terms and phrases
AAPOR American Psychological Association analyzed answer approach Artino assessment chapter Checklist cognitive interviewing confidence interval consider content validity Data Analysis databases decision Discussion Durning SJ Establishing Evidence evaluating example expert review factor analysis five sources format four inferences frequency Gehlbach H health professions education identify important inferential statistics interpretations left intentionally blank level of measurement meaningful measure medical students missing data narrative response nonresponse bias number of response Opin Q p-value paradata participants Phillips AW pilot testing potential respondents practice pretest principal components analysis Psychol Public Opin Qualtrics questionnaire relevant reporting guidelines research questions response options response rate sampling frame scores smartphones source of validity specific stakeholders statistical power statistical tests Step substance abuse Survey Construction Survey Delivery survey designers survey instrument survey items survey questions survey research Table validity and reliability validity argument validity evidence validity framework variables VOICE OF EXPERIENCE