4.Sampling
4.3 Choosing Non-probability vs. Probability Sampling
Strengths and Weaknesses of Basic Sampling Techniques
| Technique | Strengths | Weaknesses |
|
Non-probability Sampling |
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|
Convenience sampling |
Least expensive, least time consuming, most convenient |
Selection bias, sample not representative, not recommended for descriptive or causal research |
|
Judgmental sampling |
Low cost, convenient, not time consuming |
Does not allow generalization, subjective |
|
Quota sampling |
Sample can be controlled for certain characteristics |
Selection bias, no assurance of representativeness |
|
Snowball sampling |
Can estimate rare characteristics |
Time consuming in the field research |
|
Probability Sampling |
||
|
Simple random sampling (SRS) |
Easily understood, results projectable |
Difficult to construct sampling frame, expensive, lower precision, no assurance of representativeness |
|
Systematic sampling |
Can increase representativeness, easier to implement than SRS |
Can decrease representativeness |
|
Stratified sampling |
Includes all important subpopulations, precision |
Difficult to select relevant stratification variables, not feasible to stratify on many variables, expensive |
|
Cluster sampling |
Easy to implement, cost effective |
Imprecise, difficult to compute and interpret results |
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