LAERD DISSERTATION 2012

For example, if the population we were interested in was frequent, male Facebook users in the United States , this could be millions of users i. Since total population sampling involves all members within the population of interest, it is possible to get deep insights into the phenomenon you are interested in. For example, critical case sampling may be used to investigate whether a phenomenon is worth investigating further, before adopting a maximum variation sampling technique is used to develop a wider picture of the phenomenon. There are theoretical and practical reasons for using non-probability sampling. Customer transactions at Wal-Mart or Tesco between two time points e.

However, these calculations can be complex, and are typically not performed at the undergraduate and master? However, where it is not possible to use probability sampling, non-probability sampling at least provides a viable alternative that can be used. Convenience sampling A convenience sample is simply one where the units that are selected for inclusion in the sample are the easiest to access. Types of purposive sampling There are a wide range of purposive sampling techniques that you can use see Patton, , ; Kuzel, , for a complete list. Some examples of each of these types of population are present below:. Expert sampling is a type of purposive sampling technique that is used when your research needs to glean knowledge from individuals that have particular expertise.

In this respect, homogeneous sampling is the opposite of maximum variation sampling. In this website, we use the word units whenever we are referring to those things that make up a population.

laerd dissertation 2012

You need to know a what these different terms mean, b how they influence the choices you make e. Quota sampling Convenience sampling Purposive sampling Self-selection sampling Snowball sampling.

Total population sampling | Lærd Dissertation

Usually, the sample being investigated is quite small, especially when compared with probability sampling techniques. Just people in the United States or 62 people in the United Kingdom. Sampling bias Sampling bias occurs when the units that are selected from the population for inclusion in your sample are not characteristic of i. Total population sampling is a type of purposive sampling technique that involves examining the entire population i.

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Example 1 The psychological aspects of people living with a rare disease that affects just 1 person in every 1 million people i. Unlike the various sampling techniques that can be used under probability sampling e.

The person being a senior manager. Maximum variation sampling Maximum variation sampling, also known as heterogeneous samplingis a purposive sampling technique used to capture a wide range of perspectives relating to the thing that you are interested in studying; that is, maximum variation sampling is a search for variation in perspectives, ranging from those conditions that are view to be typical through to those that are more extreme in nature.

Alternately, classic routes when taking on a qualitative dissertation include case study researchethnographies and phenomenological research.

The subjectivity and non-probability based nature of unit selection i. Disadvantages of total population sampling As with probability sampling techniques that require the researcher to get a list of the population i. Just of the employees are senior managers.

laerd dissertation 2012

For example, if you were performing case study research in a single firm of employees, examining the effect of senior manager mentorship on employee motivation, there may only be senior managers. Rather than using probabilistic methods i. 20012 of these types of purposive sampling technique is discussed in turn: This will dissedtation you through the rest of the dissertation process.

Advantages and disadvantages of total population sampling There are a number of advantages and disadvantages to using total population sampling.

Purposive sampling, also known as judgmentalselective or subjective sampling, is a type of non-probability sampling technique.

For example, you may choose to select disserttaion those units to be included in your sample that you feel will exhibit the problem or issue you are interested in finding. With such wide coverage of the population of interest, there is also a reduced risk of missing potential insights from members that are not included.

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There are a number of advantages and disadvantages to using total population sampling.

As with probability sampling techniques that require the researcher to get a list of the population i. These units may exhibit a wide range of attributes, behaviours, disssertation, incidents, qualities, situations, and so forth. Expert sampling is particularly useful where there is a lack of empirical evidence in an area and high levels of uncertainty, as well as dissertxtion where it may take a long period of time before the findings from research can be uncovered.

Extreme or deviant case sampling is a type of purposive sampling that is used to focus on cases that are special or unusualtypically in the sense that the cases highlight notable outcomesfailures or successes. Quota samplingPurposive samplingConvenience samplingSnowball sampling and Self-selection sampling ]. Typically, we refer to the population of a country or regionsuch as the United States or Great Britain.

laerd dissertation 2012

Expert sampling is a type of purposive sampling technique that is used when your research needs to glean knowledge from individuals that have particular expertise. Critical case sampling is a type of purposive sampling technique that is particularly useful in exploratory qualitative research, research laerdd limited resourcesas well as research where a single case or small number of cases can be decisive in explaining the phenomenon of interest.

Purposive sampling | Lærd Dissertation

In this respect, homogeneous sampling is the opposite of maximum variation sampling. If it happens there, it will happen anywhere? This article a explains what total population sampling is and when it may be appropriate to use it, b sets out ladrd examples of total population sampling, c shows how to create a total population sample, and d discusses the advantages and disadvantages of total population sampling.

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