Priyamvada Ashok MhaddalkarAIR 13 · CSE 2021 · 238 wordsTheir whole copy
Opening · a definition
Sampling refers to the process of selecting a small set of data from a larger population for the purpose of study.
Since it is not feasible to study the entire population set, very often social scientists adopt the technique of sampling for ease of research.
Body · points and prose
TYPES OF SAMPLING
I PROBABILITY SAMPLING
In this type of sampling, every data set in a sample has equal chance of being selected.
- Simple random sampling
- Any data set is selected in no particular order.
- Systematic random sampling
- Some order is used eg: every 10th person in a sequence.
- Stratified sampling
- Data is classified as per a reference frame and then sampling is done eg: If population contains 49% females and 51% males → same ratio reflected in sample.
II NON PROBABILITY SAMPLING
These sampling techniques are used when there is no reference frame and all data sets have different probability of selection.
Quota sampling Population divided and fixed quota is set before picking data.
convenience sampling wherever data easily available eg: interviewing people on a busy shopping street
Snowball sampling
Close · a summary
Some people randomly interviewed they then refer others they know.
Sampling helps to enhance validity of a research as it provides a better representative population for study. It eliminates errors that could appear due to incorrect samples. Thus, sampling is an important technique in social research that helps to enhance validity of research.