Dissertation using secondary data

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Dissertation using secondary data

Low Advantages of secondary research Whatever type of research you are conducting, always be aware of its strengths and limitations. If you look at the table above, you should already be able to discern some advantages of secondary research.

One of the most obvious advantages is that, compared to primary research, secondary research is inexpensive. Primary research usually requires spending a lot of money. For instance, members of the research team should be paid salaries.

There are often travel and transportation costs. You may need to pay for office space and equipment, and compensate your participants for taking part. There may be other overhead costs too. These costs do not exist when doing secondary research. Although researchers may need to purchase secondary data sets, this is always less costly than if the research were to be conducted from scratch.

As an undergraduate or graduate student, your dissertation project won't need to be an expensive endeavour. Thus, it is useful to know that you can further reduce costs, by using freely available secondary data sets. But this is far from the only consideration.

Most students value another important advantage of secondary research, which is that secondary research saves you time. Primary research usually requires months spent recruiting participants, providing them with questionnaires, interviews, or other measures, cleaning the data set, and analysing the results.

With secondary research, you can skip most of these daunting tasks; instead, you merely need to select, prepare, and analyse an existing data set. In the past, students needed to go to libraries and spend hours trying to find a suitable data set.

New technologies make this process much less time-consuming. In most cases, you can find your secondary data through online search engines or by contacting previous researchers via email. A third important advantage of secondary research is that you can base your project on a large scope of data.

Dissertation using secondary data

If you wanted to obtain a large data set yourself, you would need to dedicate an immense amount of effort. What's more, if you were doing primary research, you would never be able to use longitudinal data in your graduate or undergraduate project, since it would take you years to complete.

This is because longitudinal data involves assessing and re-assessing a group of participants over long periods of time. When using secondary data, however, you have an opportunity to work with immensely large data sets that somebody else has already collected.

Thus, you can also deal with longitudinal data, which may allow you to explore trends and changes of phenomena over time. With secondary research, you are relying not only on a large scope of data, but also on professionally collected data.

This is yet another advantage of secondary research. For instance, data that you will use for your secondary research project has been collected by researchers who are likely to have had years of experience in recruiting representative participant samples, designing studies, and using specific measurement tools.

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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.

Disadvantages of secondary research By now you may have concluded that using secondary data is a perfect option for your graduate or undergraduate dissertation. The first such disadvantage is that your secondary data may be, to a greater or lesser extent, inappropriate for your own research purposes.

This is simply because you have not collected the data yourself. When you collect your data personally, you do so with a specific research question in mind.

This makes it easy to obtain the relevant information. Thus, although secondary data may provide you with a large scope of professionally collected data, this data is unlikely to be fully appropriate to your own research question. There are several reasons for this. For instance, you may be interested in the data of a particular population, in a specific geographic region, and collected during a specific time frame.

However, your secondary data may have focused on a slightly different population, may have been collected in a different geographical region, or may have been collected a long time ago. Apart from being potentially inappropriate for your own research purposes, secondary data could have a different format than you require.

But the secondary data set may contain a categorical age variable; for example, participants might have indicated an age group they belong to e. A secondary data set may contain too few ethnic categories e. Differences such as these mean that secondary data may not be perfectly appropriate for your research.

The above two disadvantages may lead to yet another one: As noted above, secondary data was collected with a different research question in mind, and this may limit its application to your own research purpose.Dissertation using only secondary data marketing November 24, November 24, Essays on bullying and harassment on social media und dann kam essay albumin the arrival shaun tan essay writing rfk mlk speech analysis essay room essay conclusion words arbeitgeber zeugnis beispiel essay transcendentalism essays metacognitive essays.

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