Evaluation With Applied Survey Design II Quiz
Free Practice Quiz & Exam Preparation
Boost your survey research skills with our engaging practice quiz for Evaluation with Applied Survey Design II. Covering fundamentals like data collection, interview techniques, pilot testing, and data management, this quiz is perfect for graduate students looking to deepen their understanding of survey methods used in education, public health, and social program evaluation.
Study Outcomes
- Understand and apply survey research theories and methodologies in educational and social program evaluations.
- Design and pilot survey instruments, including creating training manuals and planning field work.
- Develop coding strategies and manage data effectively from surveys and interviews.
- Analyze and interpret survey data to assess the impact of educational and social programs.
Evaluation With Applied Survey Design II Additional Reading
Here are some top-notch resources to supercharge your survey design skills:
- Managing and Manipulating Survey Data: A Beginner's Guide This guide from Harvard's Program on Survey Research walks you through transforming survey questions into analyzable data, covering essential steps for beginners.
- Survey Data Collection Design and Procedures This comprehensive report by the U.S. Department of Health and Human Services delves into data collection methods, instrument development, and quality control in survey research.
- Design: Selection of Data Collection Methods This article discusses various qualitative data collection methods, such as interviews and surveys, helping you choose the best approach for your research.
- Web-based Data Collection: Detailed Methods of a Questionnaire and Data Gathering Tool This paper outlines a systematic web-based approach to data collection, including questionnaire design, data entry, and management, maximizing the advantages of online methods.
- Data Capture, Coding and Cleansing, Documentation This resource from the French Institute for Demographic Studies provides insights into coding responses, data cleansing, and documentation to ensure high-quality survey data.