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1 Multistage Sampling Module 3 Session 9. 2 Session Objectives To introduce Multistage sampling To help participants appreciate when to apply multi-stage.

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Presentation on theme: "1 Multistage Sampling Module 3 Session 9. 2 Session Objectives To introduce Multistage sampling To help participants appreciate when to apply multi-stage."— Presentation transcript:

1 1 Multistage Sampling Module 3 Session 9

2 2 Session Objectives To introduce Multistage sampling To help participants appreciate when to apply multi-stage sampling

3 3 Multi-Stage Sampling Design Most commonly used sampling design in practice Involves more than one stage of sampling and/or a combination of two or more sampling designs

4 4 Why apply multi-stage sampling Structure of the population Size of population (large) Fund available for the survey

5 5 Examples of multi-stage sampling 1. A Systematic sample of households within Enumeration Areas (EAs) within Districts Districts – Strata – 1 st Stage EAs- Clusters- 2 nd Stage Households -3 rd Stage Within each District take a sample of EAs Within each EAs, take a sample of hholds Within each household, sample 2 individuals

6 6 Contd 2. Determine from students at a university their opinion of the university. Stratify students according to their Faculty (Science, etc.) (strata 1 st ) Take simple random sample of courses in each of these Faculties (clusters 2 nd ) From each course take a random sample of students.

7 7 Sampling and Analysis issues using the Paddy Game Module 3 Session 9(b)

8 8 Session Objectives To introduce basic sampling concepts using the Paddy game To demonstrate how to select a sample from a population To demonstrate how population values can be estimated from samples

9 9 What is Paddy? Paddy is a game that has been developed to demonstrate how to design and analyse survey data The game uses an example of a survey of rice production Open the paddy game on your computer by clicking on the PADDY icon.

10 10 Background Information In a small district there are: 10 villages With a total of 160 farmers Each with one field in which to grow rice A census has been undertaken and the acreage cultivated by each farmer is known.

11 11 Number of Farmers & Acreage - by Village

12 12 Aim of the Survey The main aim of the survey is to estimate the mean yield of rice per hectare and hence the total production of rice in the district In order to do this you will carry out a crop cutting survey. This is a survey where you visit fields, harvest the crop from one or more plots and measure the yield A further objective is to investigate the use of fertiliser and varieties by the farmers

13 13 Resources The resources available allow you to visit and collect information from 30 plots. A plot covers an area of 1/80 th of an acre. Yield from each plot harvested is then measured in bushels per acre.

14 14 Resources Transport costs allow your survey team to visit a maximum of 5 villages, although you might decide to visit less than 5. These costs dictate that the survey should use a multistage sampling design

15 15 Resources The game gives you the possibility of three levels: Villages Farmers within Village Plots within farmers.

16 16 Pilot Run We begin with a pilot run to give you familiarity with the Paddy game The Paddy game has been installed on your computers The sampling scheme suggested is the following: Select 2 villages using simple random sampling From each village select 3 fields, again with simple random sampling From each field, select 1 plot at random for harvesting

17 17 Designing the Sampling scheme

18 18 Designing the Sampling Scheme - Selecting fields in village 6 -

19 19 Designing the Sampling Scheme - Selecting fields in village 7 -

20 20 The Sample

21 21 Probability Proportional to Size (PPS) Sampling using the Paddy Game Module 3 Session 9(c)

22 22 Session Objectives To demonstrate how to select a sample from a population using PPS To demonstrate how population values can be estimated from samples

23 23 Pilot Run Suppose the sampling scheme suggested is the following: Select 2 villages using PPS sampling where the sample depends on the number of farmers in the village From each village select 3 fields, with simple random sampling From each field, select 1 plot at random for harvesting

24 24 Designing the Sampling scheme

25 25 Designing the Sampling scheme

26 26 Selecting fields for Village 6

27 27 Selecting fields for Village 7

28 28 The Sample


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