Dimensional sampling is one of the type of non-probability sampling. It is an extension to Quota sampling.
Meaning:
Dimensional sampling is a sampling technique for selecting small samples in a way that enhances their representativeness. It involves identifying various factors of interest in a population and obtaining at least one respondent of every combination of those factors. The researcher takes into account several characteristics such as gender, age, income, residence, education and ensures there is at least one person in the study that represents that population.
Steps:
There are two steps to dimensional sampling.
- Specify all the dimensions or variables that are important.
- Choose a sample that includes at least one case representing each possible combination of dimensions.
- Out of 10 people researcher may want to make sure that 2 people are within a certain gender, two are of certain age group who have an income rate between Rs. 125000 and Rs. 300000. This will ensure the accuracy of the sample frame again.
- A researcher may be interested in studying disaffected students, girls and secondary aged students and who may find a single disaffected secondary female student, i.e. a respondent who is the bearer of all of the sought characteristics. (Cohen, 2003)
References:
http://www.learnmarketing.net/sampling.htm
http://www.uic.edu/classes/socw/socw560/Sampling1.htm
Cohen Louis, et al. (2003). Research Methodology in Education. 104. London: RoutledgeFalmer.