Dissertation methodology example secondary research

Secondary data may lack reliability and validity, which is beyond your control Professionally collected data: As we have discussed previously, you will often discover that the original study had a different research question in mind, and it is important for you to specify this difference. Here, you may focus on outlining the safest and most effective transportation routes or vehicles used by an organisation. online proofreading services york Secondary data was collected with a different research question in mind.

Note that, since this was a qualitative investigation, there is no need to evaluate the number of missing values and the use of confounders. When evaluating secondary data, you first need to identify the aim of the original study. easy essay help desktop At the end of this blog post, in Table 6 , you will find a summary of all the steps of doing secondary research.

Dissertation methodology example secondary research phd thesis law and economics

Somewhere there, you may discover a useful secondary data set. A further step in evaluating a secondary data set is to ask yourself who has collected the data. Dissertation methodology example secondary research Primary research usually requires months spent recruiting participants, providing them with questionnaires, interviews, or other measures, cleaning the data set, and analysing the results.

As with government, such institutions dedicate a lot of effort to conducting up-to-date research, so you simply need to find an organisation that has collected the data on your own topic of interest. You may decide to do this when you want to obtain existing information that would inform your primary research. Dissertation methodology example secondary research TABLE 5 summarises the two sources of secondary data and associated examples: Internal to the organisation or research institution where you conduct your research Definition:

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Another type of internal data is transport data. Secondary data was collected with a different research question in mind Large scope of data: Because such disadvantages of secondary data can limit the effectiveness of your research, it is crucial that you evaluate a secondary data set. professional case study written in the first person May not answer your research question:

Ideally, you want your secondary data to have been collected within the last five years. If you had collected this data yourself, your own data set would probably have more flaws, simply because of your lower level of expertise when compared to these professional researchers. auto essay write quotes In addition to this, you need to evaluate how the sample was obtained, whether the sample was large enough, if the sample was representative of the population, if there were any missing responses on employed measures, whether confounders were controlled for, and whether the employed statistical analyses were appropriate.

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Somewhere there, you may discover a useful secondary data set. Having done so, your next step is to prepare a secondary data set. Dissertation methodology example secondary research Prepare and analyse secondary data. Finally, you would need to analyse the data by employing statistical analyses. Because such disadvantages of secondary data can limit the effectiveness of your research, it is crucial that you evaluate a secondary data set.

Internal to the organisation or research institution where you conduct your research Definition: Unfortunately, the list of disadvantages does not end here. Your secondary data is being combined with your primary data.


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