1. Summer Institute Courses, Survey Research Center, University of Michigan – 50 Participants
2. Long-term Academic Training – 13 Participants
3. Other Seminar and Workshops – 6 Participants
Stone, Lyman (2024). Digital survey presentation: Types of providers.
The presentation titled Digital Survey Presentation: Types of Providers by Lyman Stone discussed various digital survey platforms and their features. It categorized providers into three types: full-service commercial platforms, medium-service XLSForm hosts, and do-it-yourself protocols. Full-service commercial platforms, such as Alchemer and Qualtrics, host data externally, can recruit respondents, and manage workflows. Medium-service XLSForm hosts, like KoboToolbox, ODK, and Survey CTO, also host data externally but offer limited proprietary features and require significant learning to use effectively. Do-it-yourself protocols, such as self-hosted ODK, provide flexibility for advanced users but require technical expertise.
In this presentation we mainly discussed about alchemer, which was later tested in a web browser and found to have limitations, including the inability to work offline, which is essential for the project. Additionally, it incurred extra costs for multimedia question types and was not suitable for use by different user. As a result, Alchemer was deemed unsuitable for the project.
Number of Participants – 6 Participants
Training Program: Data Analysis Training using Stata Software
Trainers: Prof. Sarah Brauner-Otto, Khandys Agnant
Venue: Institute for Social and Environmental Research Nepal, Fulbari
Dates: 02 to 05 December 2024
Time: 10:00 AM - 4:00 PM
Duration: Four days
This report summarizes the successful completion of the Comprehensive Training Workshop on Data Analysis Using Stata Software, conducted by Prof. Sarah Brauner-Otto and Khandys Agnant from 02 to 05 December 2024 at the Institute for Social and Environmental Research Nepal, Fulbari. The design of the workshop aimed to enhancing the ISERN staff’s and student’s skills in statistical data analysis, targeting those participants with the desire to enhance their analytical data analysis skills and seek practical knowledge for their academic and professional work.
Overview of the Workshop
The Data Analysis Training using Stata Software equipped participants with an in-depth understanding of statistical analysis techniques and tools that are vital for effective data handling. This workshop aimed at equipping individuals with practical knowledge to carry out advanced data analysis tasks using Stata software.
Day 1: Introduction to Stata and Data Types
On the first day, Adina Gurung was started the welcome with ISERN introduction and ISERN goals. And Professor Sarah continued an overview of Stata Software, followed by talks on the types of data and their importance in relation to statistical analysis. The discussions during this session created awareness among participants about the role of Stata in accomplishing different data analysis jobs. Instructor Khandys covering topics such as tabulation, code generation, recode , data Labelling and practical exercises.
Day 2: Conceptual and Statistical Analysis
Day Two also focused on basic statistics concepts: notation, normal distribution, measures of dispersion, confidence intervals, and hypothesis testing all those things one should know to understand data behavior or carry out any hypothesis-driven analysis. The focus was enabling the participants to accurately interpret statistical results and apply the insights to real-world problems.
Day 3: Univariate and Bivariate Statistics
Third day was focused on the estimation and interpretation of univariate and bivariate statistics. The participants learned how to analyze data for one variable (univariate) and two variables (bivariate), gaining practical skills in the interpretation of data and analysis of correlation.
Day 4: Multivariate Regression and Presentations
In the final day, participants learned some advanced multivariate regression techniques: OLS and Logit regression models. These advanced techniques will enable them to dig more deeply into the relationships of several variables. The workshop ended with the presentation of work by participants, where they applied the techniques they had learned on real-world data.
Participants
The following were in attendance at the workshop and were active in discussions and exercises throughout the program:
1. Dr. Ananta Dahal - Student
2. Asmi Paudel – Student
3. Bibek Sapkota- ISERN staff
4. Goma Rai- Student
5. Kamana Ghimire- ISERN staff
6. Manila Chaudhary- Student
7. Sabina Shrestha- Student
8. Shurendra Ghimire- Student
9. Adina Guurng- ISERN staff
Conclusion
The Data Analysis Training using Stata Software workshop successfully met its objectives, providing participants with the skills necessary to perform statistical data analysis. Feedback from the participants highlighted the effectiveness of the workshop, noting the practical nature of the training and its relevance to both academic and professional work.
Participants completed the workshop with a stronger understanding of statistical concepts and the confidence to apply Stata software to their data analysis tasks.
