Swiss Summer School 2007

Campanelli
Survey Research Methods

Dr. Pamela Campanelli is a Survey Methods Consultant and U.K. Chartered Statistician. She received her Ph.D. in statistics from the London School of Economics, and an M.A. in applied social research and B.A. in psychology from the University of Michigan. Prior to becoming an independent consultant, she was a Research Associate at the Office of Educational Research and Resources at the University of Michigan, a Survey Statistician at the Center for Survey Methods Research at the U.S. Bureau of the Census, Chief Research Officer at the UK Institute for Social and Economic Research at the University of Essex, and Research Director at the Survey Methods Centre at the National Centre for Social Research, London. Her main interests and publications are in the study of survey error and data quality issues, with a special emphasis on questionnaire design, question testing strategies, interviewing techniques, survey nonresponse, and survey sampling. She regularly teaches short courses in these subjects at the University of Michigan Summer Institute (linked to the Joint Program in Survey Methodology), the University of North Carolina, the University of Hong Kong, the University of Neuchâtel, the University of Essex, the University of Southampton and the Swiss Summer School well as for various other institutions and private businesses (see www.thesurveycoach.com).

Workshop contents and objectives

Contents

This course introduces students to the principles and procedures of survey research, It focuses on the design and collection phases. Topics include:

The course will have two strands. The first will consist of formal lectures with respect to the survey literature and the theoretical underpinnings of survey research. The second will be to examine survey research from a more informal and practical perspective. It will involve group workshops and exercises where participants are able to put aspects of theory into practice.

Course Objectives

Bibliography

Texts used for the course

Other references which are particularly useful

[*] Useful to look at in advance of course

Prerequisites

There are no statistical prerequisites for this course, although participants will find it helpful to have a basic knowledge of statistics for the discussion on sampling.

Participants will find it helpful to have knowledge of Windows and SPSS for Windows.