Sampling & its 8 Types (Probability & Non-Probability Sampling): Research Methodology

Dr. Manishika Jain in this lecture explains the meaning of Sampling & Types of Sampling
Research Methodology
Dr. Manishika Jain
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https://www.examrace.com/Research/
Email: [email protected]


Population & Sample

Systematic Sampling

Cluster Sampling
Non Probability Sampling
Convenience Sampling
Purposeful Sampling
Extreme, Typical, Critical, or Deviant Case: Rare
Intensity: Depicts interest strongly
Maximum Variation: range of nationality, profession
Homogeneous: similar sampling groups
Stratified Purposeful: Across subcategories
Mixed: Multistage which combines different sampling
Sampling Politically Important Cases
Purposeful Sampling
Purposeful Random: If sample is larger than what can be handled & help to reduce sample size
Opportunistic Sampling: Take advantage of new opportunity
Confirming (support) and Disconfirming (against) Cases
Theory Based or Operational Construct: interaction b/w human & environment
Criterion: All above 6 feet tall
Purposive: subset of large population – high level business
Snowball Sample (Chain-Referral): picks sample analogous to accumulating snow

Advantages of Sampling
Increases validity of research
Ability to generalize results to larger population
Cuts the cost of data collection
Allows speedy work with less effort
Better organization
Greater brevity
Allows comprehensive and accurate data collection
Reduces non sampling error. Sampling error is however added.

Chapters:
0:00 Introduction: Sampling & its 8 Types: Research Methodology
2:25 Population & Sample
6:30 Sampling
9:25 Systematic Sampling
11:22 Cluster Sampling
13:10 Non-Probability Sampling
15:02 Convenience Sampling
16:16 Purposeful Sampling
22:34 Advantages of Sampling

#Politically #Purposeful #Methodology #Systematic #Convenience #Probability #Cluster #Population #Research #Manishika #Examrace


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