Internal to the organisation or research institution where you conduct your 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. article writing service and earn money through Secondary data may not be fully appropriate for your research purposes Saves time: In previous sections of this guide, we have covered some basic aspects of doing secondary research. In any case, you need to ensure that a secondary data set is a good fit for your own research question.
Note that this example combines qualitative and quantitative data. For example, you may be interested in the topic of anxiety during pregnancy, or tourism in Greece, or transient lifestyles. essay about service self How does this aim differ from your research aim?
The benefit of using these sources is that they are easily accessible and there is no associated financial cost of obtaining them. Secondary research takes much less time than primary research Wrong format: The list of external secondary data sources can be just as extensive. write my essay fast exam In our three examples, research questions would be specified in the following manner:
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Writing up the results section of your dissertation. Outline all variables of interest; Transfer data to a new file; Address missing data; Recode variables; Calculate final scores; Analyse the data. Your research may, however, require you to combine two secondary data sets. Once you have specified what kind of secondary data you need, you can contact the authors of the original study. These costs do not exist when doing secondary research.
Having found your topic of interest and identified a gap in the literature, you need to specify your research question. Secondary data has been collected by researchers with years of experience. But this is far from the only consideration. For example, you may be interested in the topic of anxiety during pregnancy, or tourism in Greece, or transient lifestyles. 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.
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Once you have established that it is, you need to specify the reasons why you have decided to rely on secondary data. This makes it easy to obtain the relevant information. cheap article writing services resume 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. Once this is done, you should address missing data identify and label them and recode variables if necessary e.
Just follow the guidelines summarised in Table 6 and you are all set. External to the organisation or research institution where you conduct your research Examples: Note, however, that this happens only if you are relying on external sources of secondary data. proofread online nsw The Ultimate Guide to Writing a Dissertation. Identify a secondary data set.
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. Lack of control over the quality of data: In any case, you need to ensure that a secondary data set is a good fit for your own research question.
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More specifically, it is used when you want to test the information obtained through qualitative research by implementing a quantitative methodology. Primary research usually requires months spent recruiting participants, providing them with questionnaires, interviews, or other measures, cleaning the data set, and analysing the results. To take an example: It is important for you to know what type of data was collected, which measures were used, and whether such measures were reliable and valid if they were quantitative measures. By comparing these two data sets, you can investigate which nation tends to visit Greece more.
Alternatively, you may rely on marketing data , where your goal would be to assess the benefits and outcomes of different marketing operations and strategies. 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. Importantly, you can also re-assess a qualitative data set in your research, rather than using it as a basis for your quantitative research.
Apart from being potentially inappropriate for your own research purposes, secondary data could have a different format than you require. Having done so, your next step is to prepare a secondary data set. We have defined secondary data, outlined its advantages and disadvantages, introduced the methods and purposes of secondary research, and outlined the types and sources of secondary data. At this point, you should have a clearer understanding of secondary research in general terms.