Data Collection

Accidental sampling is a type of non-random sampling. There are many types of non-probability sampling and the selection of a technique depends on the nature and type of the study. Process of accidental sampling In most of the research studies the population is large. Therefore it is impossible to have all the population participate in the study. So, in every …

Criterion sampling involves the selection of sample based on some pre-established criteria. This criteria is of importance to the research in most significant way. This kind of sampling helps researcher study a very specific or narrow criteria and understand the implications of it. This enables the researcher study the criteria in depth and with emphasis. How to do criterion research? …

Snowball sampling is a type of non-random sampling technique. In this technique the sample grows like a snowball which means that existing sampling units select more units from their friends, family, or relatives. The researcher selects and adds more participants until the saturation point is reached. There are two important factors in deciding about the saturation point: first, the required …

Simple random sampling is the most common method of sampling in research. This kind of sampling technique is possible when every unit of the population is accessible and known. As well as, the researcher has a list of all the elements of the population. The researcher need to have a list of all the elements of the population to use …

Convenience sampling is a type of non-probability sampling. In this technique the researcher selects sample on the basis of convenience. This makes it easier for the researcher to select any sample that is available. But on the other hand the sample is non-random and therefore based on availability. This makes it less generalizable than any other randomly selected sample. When …

What are some general strategies for sample selection? Why the right selection of sampling method is so important for any research? There are two broad classifications of sampling procedures: random and non random sampling. Both of these methods have several techniques and researcher select a technique that is most pertinent to their research. Sometimes there are more than one sampling …

Purposeful sampling is a non-random sampling technique that utilizes a specific criteria or purpose to select particular sample. The researcher may use one or more than one strategies or criteria to select the sample. The aim is to collect in depth information from the right respondents. Principles of purposeful sampling The basic principle of purposeful sampling is that information is …

Stratified random sampling is a type of random sampling or probability sampling. Random sampling ensures that every member of the population has an equal and independent chances of selection. In a population where there is low heterogeneity simple random sampling is very effective. In case the population has elements that does not share common characteristics the researcher should use another …

Quota sampling is a type of non-probability sampling in statistics and research. It is somewhat similar to stratified sampling except that it is a non-random sampling method. Its use is more common when there is no obvious sampling frame available or the researcher has a low budget and less time to undertake the research. Sampling process The method for sample …

Participant observation is a qualitative method of data collection in research. It enables the researchers to fully participate in the the situation that they are studying. Thus researchers can become part of the life, event, or situation that they want to study. Researchers who want to dig deep into the life of the participant can get help from participant observation. …