Sampling and Weighting These courses introduce participants to what quantitative survey sampling is, why it is important, and how it is implemented.  These courses focus on the practical aspects of sampling as well as some of the mathematics.		Recent Courses & Clients:
1-Day Course Topics include: • 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, and how to determine sample size • And very brief introduction to the effects of different types of sample   designs on confidence intervals.		1-Day Course for • Rod Laird Organisation • SRA Scotland
1½-Day Course • 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, and how to determine sample size • The effects of different types of sample designs on confidence intervals   with a discussion of “effective sample size” and “design effects” • Special issues in stratification – Choosing the best design when you need   to over-sample a small subgroup but also need overall sample   estimates • Probability proportional to size, flow sampling, and an introduction to   weighting		1½-Day Course for • University of Hong Kong • Home Office (via CASS) • ECOTEC
back