4.Sampling

4.3 Choosing Non-probability vs. Probability Sampling

 

Strengths and Weaknesses of Basic Sampling Techniques

Technique Strengths Weaknesses
 

Non-probability Sampling

 

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

To the beginning of the section