SRA Training

Quantitative Data Collection: Sampling and Introduction to Weighting
Summary:	“One way to ruin an otherwise well-conceived survey is to use a convenience sample rather than one which is based on a probability design” (Ferber et al, 1980). Do you have the right sampling design for your study? This course introduces participants to what survey sampling is, why it is important, and how it is implemented. It focuses on the practical aspects as well as a bit of the maths. Content includes: types of samples (probability versus non-probability) how to construct a “sampling frame” types of probability samples (e.g., simple random, systematic, stratified, multi-stage clustered, unequal probabilities of selection) what “sampling error” is the role of sampling error in confidence intervals how to determine sample size a discussion of the effects of different types of sample designs on confidence intervals an introduction to weighting. Participants need to bring a calculator with a square root function
Course tutor:	Dr. Pamela Campanelli is a Survey Methods Consultant, Chartered Statistician and Chartered Scientist. 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. Pamela has worked at the University of Michigan, the Center for Survey Methods Research at US Bureau of the Census and has been Chief Research Officer at the Institute for Social and Economic Research and a Research Director at the Survey Methods Centre at the National Centre for Social Research. Her main interests are in the study of survey error and data quality issues, focusing on both the data collection and analysis side. In addition to her consultancy work, she regularly teaches short courses for a variety of organisations (e.g., Centre for Applied Social Surveys, the Social Research Association, Cathie Marsh Centre for Census and Survey Research, the Royal Statistical Society), for government departments (e.g., Office of National Statistics, BFS Switzerland, Statistics South Africa), Survey Research companies (e.g., NatCen, Ipsos-MORI), universities (e.g. London Metropolitan University, Monash University Malaysia, Wollongong University Australia, University of Hong Kong, University of Michigan linked to the Joint Program in Survey Methodology) and other institutions (e.g., Picker Institute Europe).
Date & Location:	3rd May 2012, Registration 09.15 - 09.30, Course 09.30 - 16.45 Location: London
Programme	Download Programme (pdf), and booking form (doc)