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06.Data Quality Monitoring

This module discusses methods to monitor the quality of data when fieldwork is in progress. The focus is on the interviewer - from both the measurement error and non-response error aspects. We will talk about the data sources that can be used for monitoring purposes and principles behind practical implementation.

VIDEO

Module Overview and Introduction

VIDEO

Interviewer Measurement Error

VIDEO

Data Sources

VIDEO

Monitoring Substantive Data

VIDEO

Paradata and CARI

VIDEO

Practical Quality Control

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.