A Workshop on Survey Methodology
Course Content
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Module 1 - Overview of Survey Methodology.
This module presents the Survey as one of the key sources of Statistical information. It provides an overview of various types of Survey and Issues to consider in a Survey design and Sample design
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Module 2 - Simple and Systematic Random Sampling
This module covers the design principles of Probability Sampling, specifically: Simple Random Sampling and Systematic Sampling
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Module 3 - Stratified sampling and Probability Proportional to Size (PPS) Sampling
More advanced sampling techniques - Stratified sampling and Probability Proportional to Size (PPS) Sampling
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Module 4 - Web Panels, Multi Stage Sampling and others!
This module covers a variety of sampling techniques including: multi-stage sampling, multi-phase sampling, replicated sampling, web panels and crowdsourcing
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Module 5 - Imputation
Types and effects of Non-Response; What are Edits and Imputation? Methods of Imputation
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Module 6 - Estimation
This module covers: Estimation: Extension of data collected from the sample to the population from which it was drawn
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Module 7 - Survey Error: Non Sampling and Sampling Errors
This module covers: Total survey error - Non Sampling Errors and Sampling Errors
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Module 8 - Using Charts!
This module covers: the use of Charts foor Data visualization
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Module 9 - Introduction to Time Series Modelling
Time Series Modelling: Back casting, Forecasting and Nowcasting explained
Learning Outcomes
Upon completion of this module participants should be able to design using a variety of sampling techniques including:
- multi-stage sampling
- multi-phase sampling
- replicated sampling
- web panels and crowdsourcing