Context (archaeology)

Demography

Engineering

Biology

Variety (cybernetics)

Systems engineering

Computer science

Probability sampling

Sampling design

Filter (signal processing)

Management science

Paleontology

Task (project management)

Sampling (signal processing)

Population

Sociology

Data science

Artificial intelligence

Computer vision

SEEU Review

Collecting data using an appropriate sampling technique is a challenging task for a researcher to do. The researchers will be unable to collect data from all possible situations, which will preclude them from answering the study’s research questions in their current form. In light of the enormous number and variety of sampling techniques/methods available, the researcher must be knowledgeable about the differences to select the most appropriate sampling technique/method for the specific study under consideration. In this context, this study also looks into the basic concepts in probability sampling, kinds of probability sampling techniques with their advantages and disadvantages. Social science researchers will benefit from this study since it will assist them in choosing the most suitable probability sampling technique(s) for completing their research smoothly and successfully.

Sampling Techniques (Probability) for Quantitative Social Science Researchers: A Conceptual Guidelines with Examples