Upcoming SlideShare
×

# Rm7 sampling design

994 views

Published on

Published in: Education
1 Like
Statistics
Notes
• Full Name
Comment goes here.

Are you sure you want to Yes No
• Be the first to comment

Views
Total views
994
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
29
0
Likes
1
Embeds 0
No embeds

No notes for slide

### Rm7 sampling design

1. 1. Part Two THE DESIGN OF RESEARCH7-1
2. 2. Chapter Seven SAMPLING DESIGN7-2
3. 3. Selection of Elements • Population • Population Element • Sampling • Census7-3
4. 4. What is a Good Sample? • Accurate: absence of bias • Precise estimate: sampling error7-4
5. 5. Types of Sampling Designs • Probability • Nonprobability7-5
6. 6. Steps in Sampling Design • What is the relevant population? • What are the parameters of interest? • What is the sampling frame? • What is the type of sample? • What size sample is needed? • How much will it cost?7-6
7. 7. Concepts to Help Understand Probability Sampling • Standard error • Confidence interval • Central limit theorem7-7
8. 8. Probability Sampling Designs • Simple random sampling • Systematic sampling • Stratified sampling – Proportionate – Disproportionate • Cluster sampling • Double sampling7-8
9. 9. Designing Cluster Samples • How homogeneous are the clusters? • Shall we seek equal or unequal clusters? • How large a cluster shall we take? • Shall we use a single-stage or multistage cluster? • How large a sample is needed?7-9
10. 10. Nonprobability Sampling Reasons to use • Procedure satisfactorily meets the sampling objectives • Lower Cost • Limited Time • Not as much human error as selecting a completely random sample • Total list population not available7-10
11. 11. Nonprobability Sampling • Convenience Sampling • Purposive Sampling – Judgment Sampling – Quota Sampling • Snowball Sampling7-11