07.Data Processing and Dissemination

This module gives a sense of the range of activities that take place after the data have been collected. This includes coding open-ended responses, preparing the data, summarizing and visualizing data, editing, imputation, disclosure risk control, documentation standards, and dissemination.


Introduction + Coding Open-ended Responses and Data Preparation


Summarizing, Visualizing, and Editing


Imputation, Disclosure Risk, Documentation, and Dissemination

About the Presenters

Sharan Sharma, Ph.D.

I am an Assistant Research Professor with appointments in the departments of Sociology and the Joint Program in Survey Methodology, and co-investigator with the India Human Development Survey, a large-scale pan-India survey. My academic background includes a Ph.D. in Survey Methodology and a Masters in Applied Statistics from the University of Michigan, Ann Arbor, and a Masters in Management Studies and Bachelor’s degree in Physics from the University of Mumbai. My research interests include interviewer effects, interviewer-respondent interaction, survey methodology in cross-cultural contexts, survey falsification, paradata, quality control, and modeling complex survey data. I also have interests in the management aspects of surveys. Specifically, in organization building, the planning and implementation of large-scale complex surveys, capacity and capability building in developing countries, and process management. My varied interests have been influenced by my experience for close to 2 decades in the private sector, most recently as Senior Vice President for TAM India (a Kantar-Nielsen joint venture) where I held cross-functional responsibilities spanning research, business development, and corporate affairs.