Dr. Pamela Campanelli is a survey methodologist and chartered statistician with a background in social statistics, survey methodology, and psychology from the University of Michigan and the London School of Economics. She has worked on large-scale surveys at the Institute for Social Research at the University of Michigan, the Center for Survey Methods Research at the U.S. Bureau of the Census, and the UK Institute for Social and Economic Research at the University of Essex. Most recently she was a Research Director at the Survey Methods Centre at the National Centre for Social Research, London.
Currently, she is an independent survey methods consultant. 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, and survey nonresponse. She regularly teaches short courses in these subjects at the University of Southampton, the University of Essex, City University, University College London, the University of Hong Kong, and for the Social Research Association and the Market Research Society.
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 discussions, class exercises and a 'hands on' approach. The focus of this second strand will be on those aspects of survey implementation that are often not taught in formal courses.
To raise participants' awareness of all the different aspects involved in the creation and implementation of a quantitative social survey.
To facilitate participants to become "discerning consumers" of survey research who are able to recognise the advantages and limitations of survey data when reading about survey results, conducting secondary analysis on survey data or commissioning a survey.
To facilitate participants to be able to conduct their own high quality survey.
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.