ISER-N conducts various trainings on various topics. ISER-N always believes in high quality research through quantitative and qualitative or mixed research methods. ISER-N thus regularly trains its interviewers, staff with the research ethics, interviewing techniques and study specific trainings. Besides, ISER-N also provides data analysis training to national and international scholars.
These courses are designed to provide theoretical understanding as well as practical applications of the state-of-the-art survey research methods and analytical techniques. They build upon a combination of both long-term in-house expertise in Nepal and expertise of its collaborating institutions. This strategy has been highly successful in utilizing culturally appropriate setting specific expertise as well as cutting-edge research methods and analytical techniques that have been continuously developed and rigorously used in advanced countries.
- Introduction to Research Methods: Provides an overview of various research methods commonly used in social and environmental research. Duration: 40 hours (5 days).
- Introduction to Survey Research Techniques: Focuses on the theory and practice of survey research methods and techniques. Duration: 40 hours (5 days).
- Survey Questionnaire Design: Focuses on theoretical background and practical understanding of designing survey questions and questionnaires used in social research. Duration: 40 hours (5 days).
- Survey Data Collection: Provides an overview of alternative data collection methods used in social science. Course will introduce various data collection techniques, particularly face-to-face, telephone, and mail surveys, commonly used in survey research. Duration: 40 hours (5 days).
- General Interviewing Techniques: Emphasizes both theoretical knowledge and practical skills of survey data collection. The training is designed to standardize survey data collection process in social research. Duration: 40 hours (5 days).
- Introduction to Survey Data Analysis: Focuses on various statistical techniques commonly used in the analysis of survey data. Emphasis on practical issues associated with choosing appropriate statistical tools, analysis of data, and interpretation of the results. Duration: 40 hours (5 days).
- Combining Qualitative and Quantitative Methods: Focuses on multiple methods of data collection and how to combine them within a single research project. Duration: 40 hours (5 days).
Offered upon request
- Event History Analysis
- Structural Equation Modeling
- Multi-level modeling
- Geographic Information System (GIS)
Course Delivery: Face to Face and Long Distance Learning
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