Types Of Primary Research For Dissertation

When using secondary data, however, you have an opportunity to work with immensely large data sets that somebody else has already collected.

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So simple, in fact, that we have been able to explain how to do it completely in just 4 steps (see below).

If nothing else, secondary research avoids the all-so-tiring efforts usually involved with primary research.

Like recruiting your participants, choosing and preparing your measures, and spending days (or months) collecting your data.

That said, you do still need to know how to do secondary research. So, go make a decent-sized mug of your favourite hot beverage (consider a glass of water, too) then come back and get comfy.

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.

If you are reading this guide, it's very likely you may be doing secondary research for your dissertation, rather than primary.

If this is indeed you, then here's the good news: secondary research is the easiest type of research! In a nutshell, secondary research is far more simple.

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. Most students value another important advantage of secondary research, which is that secondary research saves you time.

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