Your SlideShare is downloading. ×
Rm7 sampling design
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Rm7 sampling design

823
views

Published on

Published in: Education

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
823
On Slideshare
0
From Embeds
0
Number of Embeds
0
Actions
Shares
0
Downloads
26
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Part Two THE DESIGN OF RESEARCH7-1
  • 2. Chapter Seven SAMPLING DESIGN7-2
  • 3. Selection of Elements • Population • Population Element • Sampling • Census7-3
  • 4. What is a Good Sample? • Accurate: absence of bias • Precise estimate: sampling error7-4
  • 5. Types of Sampling Designs • Probability • Nonprobability7-5
  • 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. Concepts to Help Understand Probability Sampling • Standard error • Confidence interval • Central limit theorem7-7
  • 8. Probability Sampling Designs • Simple random sampling • Systematic sampling • Stratified sampling – Proportionate – Disproportionate • Cluster sampling • Double sampling7-8
  • 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. 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. Nonprobability Sampling • Convenience Sampling • Purposive Sampling – Judgment Sampling – Quota Sampling • Snowball Sampling7-11

×