# LAERD DISSERTATION CONVENIENCE SAMPLING

These purposive sampling techniques include maximum variation sampling , homogeneous sampling, typical case sampling , extreme or deviant case sampling , total population sampling and expert sampling. These terms can sometimes be used interchangeably. Whilst convenience sampling should be treated with caution, its low cost and ease of use makes it the preferred choice for a significant proportion of undergraduate and master? If you are new to sampling, there are a number of key terms and basic principles that act as a foundation to the subject. It also provides links to other articles within the Sampling Strategy section of this website that you may find useful.

Purposive sampling, also known as judgmental , selective or subjective sampling , reflects a group of sampling techniques that rely on the judgement of the researcher when it comes to selecting the units e. Even whether this is desired, there are additional problems of bias and transferability or validity [see the section on Research Quality for more information on research strategies, sampling techniques, and bias ]. Let’s say that the university has roughly 10, students. In addition, you need to decide whether non-probability sampling is appropriate based on the research strategy you have chosen to guide your dissertation. Each of these purposive sampling techniques has a specific goal, focusing on certain types of units, all for different reasons.

These non-probability sampling techniques are briefly set out in the laerd dissertation convenience sampling section. Convenience sampling Convenience sampling is a type of non-probability sampling technique. So we would have million or more units in our population. For example, you may choose to select only those units to be included in your sample that you feel will exhibit the problem or issue you are interested in finding.

For this reason, we have to think carefully about the types of sampling techniques we use when selecting units to be included in our sample. For laerd dissertation convenience sampling, you want to measure how often residents laerd dissertation convenience sampling New York go to a Broadway show in a given year. How do we know what Facebook users to invite to take part in our sample? For some of the different types of non-probability sampling technique, the procedures for selecting units to be included in the sample are very clearly laerd dissertation convenience sampling, just like probability sampling techniques.

This could significantly diminish the potential for researchers to study certain types of population, such as those populations that are hidden or hard-to-reach e. Whilst a probability sampling technique would have been preferred, the convenience sample was the only sampling technique that you could use to collect data.

Customer transactions at Wal-Mart or Tesco between two time points e. Finally, researchers sometimes refer to populations consisting of data or pieces of data instead of units or cases.

## Convenience sampling

Population The word population is different when used in research compared with the way we think about a population laerd dissertation convenience sampling normal circumstances. Despite this, for researchers following a quantitative research designnon-probability sampling techniques can often be viewed as an inferior alternative to probability sampling techniques. It may also be considered an ethical approach to finding out whether a problem or issue is worth examining in more depth, since fewer participants are subjected to a research project unnecessarily.

Each is discussed in turn:. However, laerd dissertation convenience sampling calculations can be complex, and are typically not performed at the undergraduate and master?

For example, imagine you were interested in understand more about employee satisfaction in a single, large organisation in the US. To understand more about self-selection sampling, how to create a self-selection sample, and the advantages and disadvantages of this non-probability sampling technique, see the article: Sampling frame The sampling frame is very similar to the population you are studying, and may be exactly the same.

Non-probability sampling techniques refer on the subjective laerd dissertation convenience sampling of the researcher when laerd dissertation convenience sampling units from the population to be included in the sample. As we have mentioned above, when we are interested in a population, we typically study a sample of that population rather than attempt to study the whole population e.

After all, you may have a theory that such a problem or issue exists, but there is limited or no research that currently supports such a theory.

Some examples of each of these types of laerd dissertation convenience sampling are present below:. In order to select a sample n of students from this population of 10, students, we could choose to use quota samplingconvenience laerd dissertation convenience samplingpurposive samplingself-selection sampling and snowball sampling: Non-probability sampling is often used because the procedures used to select units for inclusion in a sample are much easierquicker and cheaper when compared with probability sampling.

These units could be peoplecases and pieces of data. This is especially the case for convenience sampling. These types of bias are quite typical in convenience sampling.

### Sampling: The Basics | Lærd Dissertation

Sample When we are interested in a population, it is often impractical and sometimes undesirable to try and study the entire population. Rather than a comprehensive look at sampling, the article presents the sampling basics that you would need to know if you were an undergraduate or master’s laerd dissertation convenience sampling student about to perform a dissertation or similar piece of research.

There are theoretical and practical reasons for using non-probability sampling. Irrespective of the disadvantages limitations of convenience sampling, discussed below, without the use of this sampling technique, you may not have been able to get access to any data on employee satisfaction in the organisation. Laerd dissertation convenience sampling set the sampling strategy that laerd dissertation convenience sampling will use in your dissertation, you laerd dissertation convenience sampling to follow three steps: Some examples of each of these types of population are present below: Advantages of convenience sampling Convenience sampling is vey easy to carry out with few rules governing how the sample should be collected.

In addition, you need to decide whether non-probability sampling is appropriate based on the research strategy you have chosen to guide your dissertation. Probability sampling techniqueswhich include simple random samplingsystematic random sampling and stratified random sampling.

Sampling techniques As we have mentioned above, when we are interested in a population, we typically study a sample of that population rather than attempt to study the whole population e. These 10, students are our population N. Did others take part out of kindness or because they had a particular grievance with the organisation? Typically, we refer to the population of a country or regionsuch as the United States or Great Britain.

## Convenience Sampling

Non-probability samplingwhich include quota samplingself-selection samplingconvenience samplingsnowball sampling and purposive sampling. You intended to collect your data using a survey. Non-probability sampling Non-probability sampling represents a group of sampling techniques that help researchers to select units laerd dissertation convenience sampling a population that they are interested in studying.

Each of these purposive sampling techniques has a specific goal, focusing on certain types of units, all for different reasons. Non-probability sampling techniques Non-probability sampling techniques refer on the subjective judgement of the researcher when selecting units from the population to be included in the sample. The basics Probability sampling Simple random sampling Systematic laerd dissertation convenience sampling sampling Stratified random sampling Non-probability sampling Quota sampling Self-selection sampling Convenience sampling Snowball sampling Purposive sampling.

However, since you laerd dissertation convenience sampling find other textbooks referring to these units as people, cases, or pieces of data, we have provided some further clarification below:. Was it because some employees were simply too busy? It may be that the organisation has multiple sites, with employee satisfaction varying considerably between these sites.

Units As discussed above, the population that you are interested consists of unitswhich can be peoplecases or pieces of data.