Amrita’s Center for Gender Equality and Women’s Empowerment is hosting a unique summer school for social science researchers August 20-27, 2018 at Amrita Vishwa Vidyapeetham, Amritapuri. This week-long summer intensive “Research Methodology with R for the Social Scientist” will equip participants with the critical skills needed to define and develop a finite and “doable” research question. The summer school is coordinated by Amrita Vishwa Vidyapeetham, the University of Groningen, Netherlands and the University of Maryland, U.S.A.
The methodologies will be quantitative and students will learn to use the open source statistical program “R” and RStudio. The session includes a fully immersive field excursion and data collection exercises in Amrita SeRVe rural and tribal villages in Kerala.
The goal of the summer school is to provide researchers in social science and management the skills to define and develop a finite and 'doable' research question.
- How to match data collection skills and approaches, and overall methodology to a particular research question
- To use quantitative methodologies using the statistical software program 'R'
- Data habits that will help us revise our work efficiently and make it replicable
A fully immersive field excursion will be arranged midway through the course where you will practice data collection skills in a rural or tribal village in Kerala.
This summer school will take place on the beautiful Amritapuri campus of Amrita Vishwa Vidyapeetham, Amritapuri situated in the backwaters of Kerala, India. This workshop brings together participants from Europe, the United States, and India.
Venue : Amrita Vishwa Vidyapeetham, Amritapuri Campus, Kerala, India
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During this week we will learn ‘data habits’ that will help us revise our work efficiently and make it replicable. Larger teams of researchers, and more complex datasets that are used for multiple projects imply the need for better documentation and better organization of data and analyses. We will learn to implement and interpret some commonly used statistical and econometric techniques. To achieve this, we focus on examples where country, firm level, community or individual level data are common units of analysis. We will also discuss all aspects of data work, for example, well-designed folder structures, good data habits like separating data creation files from analysis files (so that we do not change data while running estimations making our work un-replicable). We will learn how to work efficiently and accurately during the initial stages of the research process when we go from raw data to data that can be analysed. The in-class learning experience includes a field excursion where we will practice data collection skills in a rural setting in a selected area surrounding our host university.
Upon leaving the week, participants will have an increased insight into the research process, the nature of quantitative methodologies, and the tools to help them find and implement the appropriate methodology to their research question. They will have an increased familiarity with the statistical software R. Also, they would gain the experience of field research in a rural setting in India.
Full attendance at all modules is required to obtain the participation certificate.