Quadrat sampling is a classic tool for the study of ecology, especially biodiversity. It is an important method by which organisms in a certain proportion (sample) of the habitat are counted directly. It is used to estimate population abundance (number),…

## Purposive sampling: Definition, application, advantages and disadvantages

Purposive sampling also knows as judgmental, selective, or subjective sampling, reflects group of sampling techniques that rely on the judgment of the researcher. This sampling procedure is always prefer the choice of the researcher. Judgmental sampling is completely opposite of probability…

## Quota sampling: Difition, application, advantages and disadvantages

Quota sampling is a non-probability sampling technique where in the assembled sample has the same proportions of individuals as the entire population with respect to known characteristics, traits, or focused phenomenon. This sampling procedure is completely opposite to probability sampling.…

## Convenience Sampling: Definition, application, advantages and disadvantages

Convenience Sampling is a special kind of Non-Probability sampling, where sample will be choose randomly from population and there have also unrestricted term. For example, standing at a mall or a grocery store and asking people to answer questions would be an…

## Snowball sampling: Definition, application , advantages and disadvantages

Snowball sampling is an important non-probability sampling where a chain referrel exist. A researcher first select a respondent to collect data then this respondent refers one or more respondent and in this chain everyone refer one or more respondent until…

## Cluster sampling: Definition, application, advantages and disadvantages

Cluster sampling is defined as a sampling method where multiple clusters of people are created from a population where they are indicative of homogenous characteristics and have an equal chance of being a part of the sample. In this sampling…

## Multistage sampling: Definition, real life example, advantages and disadvantages.

Multistage sampling is a sampling method where the population divides into groups or clusters. It is a special case of cluster sampling, sometimes which known as multistage cluster sampling. In this sampling method, significant clusters of the selected people are…

## Systematic sampling: Definition, applications with advantages and disadvantages

In systematic sampling (also called systematic random sampling) every Nth member of population is selected to be included in the study. It is a probability sampling method. It has been stated that “with systematic sampling, every Kth item is selected to produce a…

## Stratified sampling: Definition, Allocation rules with advantages and disadvantages

Stratified sampling is a sampling plan in which we divide the population into several non overlapping strata and select a random sample from each stratum in such a way that units within the strata are homogeneous but between strata they…

## Simple Random Sampling: Definition,Application, Advantages and Disadvantages

Simple random sampling is considered the easiest and most popular method of probability sampling. To perform simple random sampling, all a researcher must do is ensure that all members of the population are included in a master list, and that subjects…