Pros and cons of different sampling techniques

By Gaganpreet Sharma. 2017

903 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Describing Populations and Samples in Doctoral Student Research (2021, background): “Also known as chain sampling, chain-referral sampling, or network sampling, snowball sampling describes the non-probability sampling method of study participants recruiting future subjects from amongst those within their sphere of influence (Sharma, 2017).”
Determinants of Tax Compliance Intention: Focus on the Theory of Planned Behavior (2020, methodology): “…to the limitations of snowball sampling, which include the difficulty of determining the best number of respondents to include in the final sample (Sharma, 2017), the minimum required sample size was calculated using the overall size of the labor force in Phnom Penh, or 849,996 people (N =…”
Sustainable Higher Education Reform Quality Assessment Using SWOT Analysis with Integration of AHP and Entropy Models: A Case Study of Morocco (2021, background): “Non-random sampling selects samples according to certain subjective criteria, which can make full use of known data, select more typical samples, and make samples better represent the population; it can reduce the sampling scope and robustness of data [58].”