A Workshop on Survey Methodology
- Analysis of Census and other large data, Survey and Sampling
- 2 (Registered)
Course Description
This course is adapted from a 9-week workshop on survey methodology conducted by PRASC (Project for the Regional Advancement of Statistics in the Caribbean). Throughout the course participants will be introduced to topics ranging from sample design through to estimation and dissemination.
Topics covered include:
Module 1: provides an overview of survey methodology.
Module 2: simple random sampling and systematic (random) sampling.
Module 3: stratified sampling and probability proportional to size (PPS) sampling.
Module 4: multi-stage sampling, multi-phase sampling, replicated sampling, web panels and crowdsourcing.
Module 5: Explains imputation methods.
Module 6 explains survey design weights, weight adjustments for nonresponse, estimation and outliers.
Module 7 explains survey errors: non-sampling errors and sampling errors.
Module 8 details considerations for basic, static, data visualizations.
Module 9 provides a high-level overview of time series modelling.
Learning Outcomes
Upon completion of this course, students should:
1. Understand the Survey as one of the key sources of Statistical information.
2. Determine the appropriate sampling method for a given population.
3. Plan and Design Surveys using a range of sampling methods
4. Estimate population parameters from the sample.
5. Give the accuracy of estimates.
6. Understand the basic principles of Time Series Modelling
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
Pre-requisites
- Basic-intermediate data /statistical analysis
Course Provider
- This course was adapted from a 9-week workshop on survey methodology conducted by PRASC
Target audiences
- Anyone involved in surveys and censuses and requires an understanding of how to select sampling participants and the advantages and disadvantages of each approach
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