SADC Course in Statistics Multi-stage sampling (Sessions 13&14)

To put your footer here go to View > Header and Footer 2 Learning Objectives By the end of this session, you will be able to explain what is meant by cluster sample or a multi-stage sample describe ways in which a cluster sample may be drawn, with or without replacement determine estimates for means and totals of a population characteristic from a cluster sample appreciate ways in which these ideas may be extended to multi-stage designs and the benefits of a self-weighting design

To put your footer here go to View > Header and Footer 3 Discussion of key ideas Learning objectives above will be achieved through a presentation based on the document entitled Cluster and Multi-Stage Sampling Procedures Suitable examples will be drawn to aid the presentation and to discuss methods of drawing samples in different ways. Methods of finding estimates of a population mean or total will be included.

To put your footer here go to View > Header and Footer 4 Session 13 topics Cluster sampling in one or two stages Methods of drawing a PPS sample Estimation approaches in 2-stage cluster sampling using a simple scaling-up procedure

To put your footer here go to View > Header and Footer 5 Session 14 topics Multi-stage sampling Selection of primary and secondary sampling units An appreciation of –self-weighting designs –design effects

To put your footer here go to View > Header and Footer 6 Practical work will follow the presentation and discussion …