Application Deadline Extended For The International Training on Survey Data Analysis Techniques Using R
22 Nov, 2018



The Application Deadline for the International Training on Survey Data Analysis Techniques Using R, December 24-28, 2018 has been extended to Friday, November 30, 2018.


An International Training on
Survey Data Analysis Techniques Using R 
December 24-28, 2018


Resource Persons:

 ✓ Dr. Dirgha Ghimire, Research Associate Professor, University of  Michigan-Ann Arbor, USA
 ✓ Dr. Keshav Pokhrel, Assistant Professor of Statistics, University of  Michigan-Dearborn, USA
  Mr. Bishnu Adhikari, Graduate Student, University of West Georgia, USA
 ✓ Ms. Rija  Manandhar, Senior Research Officer, ISER-N, Chitwan, Nepal
What Does This Course Cover?
Overview of survey research, research ethics, survey data, survey errors and data quality.
Intensive residential course covers nearly a full semester material.
Covers both theory and hands-on practice on the state-of-the-art of survey data  analysis                techniques/tools using R. 
We focus on real data challenges (e.g. missing data, complex data, and  categorical data).
In five days, you will learn the basic foundation of survey data analysis and  become a                    knowledgeable and effective user of survey data with the application of  various analytical tools.
Intensive hands-on exercises on :

    • Data cleaning, data structure, data visualization, and data management;
    • Matching appropriate and possible analytical techniques to research questions;
    • Proper use of statistical models;
    • Methods of testing model assumptions and obtain out of sample prediction and confidence  limits for          future observations;
    • Hands on application of univariate, bi-variate and multivariate analytical  techniques;
    • Interpretation and presentation of the results.

✓ Publication process in peer-reviewed journals.
  Masters Degree in social science or any other relevant discipline
  Knowledge of basic statistics and computing skills required
  Applicants currently involved in a research program will be preferred
Important Dates
✓ Friday, November 30, 2018 :  Application Deadline
✓ Monday, December 03, 2018 :  Notification To Selected Applicants
✓ Sunday, December 10, 2018  :  Registration Deadline
Course Fee
 Participants     Without Accommodation   With Accommodation
 National     NRS. 35,000    NRS. 45,000
 International     US $850    US $850

✓ Course Fee for international participants and participants applying "with accommodation" includes tuition, cost of training materials, food (breakfast, lunch and dinner), accommodation in renowned hotel at Bharatpur and local transportation to and from the hotel to training venue. For participants applying "without accommodation" , the course fee only includes tuition, cost of training materials and  food (breakfast and lunch, only). 

✓ Unless otherwise specified, fee excludes medical and other miscellaneous expenses.
To Apply, Click Here.
Comments By Participants
"I have been really fortunate to be a part of this comprehensive training programme. The informative & interactive class lectures, daily practicals and project work were quite useful in developing understanding about various research techniques. I also acknowledge the continuous support, guidance and hospitality of entire organizing team. Overall, it was a great learning experience for me." Dr. Charu Jain, Associate Fellow, NCAER, India, December 2017.

"The Institute provides an environment, which is very conducive for learning in terms of facilities such as accommodating and supportive facilitators and healthy food. This participatory course helped me to acquire my research project and currently, I am placed as a visiting researcher in Japan" Ms. Dechen Doma Thinley, Head, Centre Contemplative Counselling Education and Research, Samtse College of Education, Bhutan, November 2016.

Practical exercises and project work provided opportunity to learn by doing. Training material helped to understand the process step by step.” Mr. Vaibhav Murhar, Project Director, PRIME, India, December 2014.

I am so grateful to participate in this training. I gained knowledge and skill on data analysis. I am hopeful to publish results from my research.” Dorendra Bahadur Thapa, Lecturer, Tribhuvan University, Nepal, December 2013.

I am happy to have made it here in the training. Learning from the training is a precious gift for me. This training made me think to submit my outputs in journals.” Jennifer Bongaparo, Afghanistan Research and Evaluation Unit, Afghanistan, December 2012.

This training is very helpful to me in understanding data analysis techniques and interpreting the results."Ms. Sharmeen Ahmed, Senior Lecturer, School of Liberal Arts & Social Sciences, Independent University, Bangladesh, June 2012.

Every part of this training was equally useful  for me as I am doing thesis in social science.” Ms. Wajiha Hassan Statistical Information Unit, Higher Education Commission, Islamabad, Pakistan, November 2011.

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