An introduction to the services that the ISR International Unit provides to promote the science and quality of international survey research and data collection. Primary activities include:

• identifying and expanding ISR's international collaborative survey research opportunities;

• supporting ISR faculty who are doing international work (as requested) or who would like to engage in international survey research; and

• developing and disseminating best practices for international and cross-cultural survey research.


ISR Perspectives presents Zeina Mneimneh as the next speaker in the "Getting to Know ISR" public presentation series.

Refreshments provided!

All Welcome.

Presented by the ISR DACCD Perspectives Committee.

If you would like to watch the live stream please visit: https://bluejeans.com/779311867. If you would like the recording link after the presentation please email abeattie@umich.edu.

If you need accommodations to participate in this event or have any questions, please contact abeattie@umich.edu.


BIO:
Dr. Mneimneh is an Assistant Research Scientist in the Survey Methodology Program within the Survey Research Center, University of Michigan. She is also an affiliated Assistant Research Professor in the School of Public Policy at Georgetown University. Mneimneh is the director of the World Mental Health Data Collection Coordinating Center that supports the design and implementation of national mental health surveys in more than 35 countries. She is also the chair of the executive committee for the International Comparative Survey Design Initiative, an annual workshop that provides a forum for international researchers involved in research relevant to comparative survey methods. Mneimneh has published more than 35 peer-reviewed publications and book chapters. Her research investigates factors affecting the reporting of sensitive information including interviewer, respondent, and question characteristics, and contextual factors related to the interview setting. Her recent work examines the use of paradata to monitor interviewer behavior and the use of social media data for social science research.