Chapter 4 · Sampling · Slide 134/274
Strengths and Weaknesses of Basic Sampling Techniques
Comparison of all techniques
4.3 · Choosing Non-probability vs. Probability Sampling
Comparison of all techniques
Strengths and Weaknesses of Basic Sampling Techniques
| Technique | Strengths | Weaknesses |
|---|---|---|
| Non-probability sampling techniques | ||
| Convenience Sampling | Least expensive, least time-consuming, most convenient | Prone to error, not representative; not recommended for descriptive and causal research |
| Judgmental Sampling | Low cost, convenient, not time-consuming | Subjective, results not generalizable |
| Quota Sampling | Certain characteristics of the sample can be controlled | Prone to error, no guarantee of representativeness |
| Snowball Sampling | Enables estimation of rare characteristics | Time-consuming in fieldwork |
| Probability sampling techniques | ||
| Simple Random Sampling | Easy to understand; generalizable or representative results | Sampling frame difficult to construct, expensive, lower precision; no guarantee of representativeness |
| Systematic Sampling | Can increase representativeness; easier to implement than simple random sampling | Can decrease representativeness |
| Stratified Sampling | Includes all important subgroups of the population; high precision | Relevant stratification criteria difficult to select; multiple criteria not practical; expensive |
| Cluster Sampling | Easy to implement, cost-effective | Imprecise; complicated computation and interpretation of results |
QUESTIONSTAR · Dr. Paul Marx
134 / 274