A recent study has focused on a range of mental difficulties experienced by women in a multinational sample and this data can be reused. You should also demonstrate your ability to identify how your study may contribute to the existing body of knowledge. custom term papers online 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.
In all these examples, outcome variables were assessed by questionnaires, and thus the obtained data was numerical. Differences such as these mean that secondary data may not be perfectly appropriate for your research. high quality article writing service worksheets To ease this process, we outline here a reflective approach that will allow you to evaluate secondary data in a stepwise fashion. We have already provided above several examples of using quantitative secondary data.
This may require you to take extra steps to obtain such information, if that is possible at all. For instance, in our example of research on anxiety during pregnancy, your data will consist of scores on each item of the State Anxiety Inventory, completed at various times during pregnancy. secondary research dissertation example Since we have used these examples previously, it may be useful to rely on them again to illustrate our discussion. The list of the types of internal sources of secondary data can be extensive; the most important thing to remember is that this data comes from a particular organisation itself, in which you do your research in an internal manner. The outcome of your analysis provides the evidence that support the answer to your research questions.
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This is yet another advantage of secondary research. When evaluating the quality of a secondary data set, the evaluation of the employed methodology may be the most crucial step. Having done so, your next step is to prepare a secondary data set.
The benefit of using these sources is that they are easily accessible and there is no associated financial cost of obtaining them. Secondary data was collected with a different research question in mind Large scope of data: Based on the literature, you have formed an idea that nationality may matter in this relationship between pregnancy and anxiety. How does this aim differ from your research aim? Here's what we'll cover in this guide:
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Internal sources of data are those that are internal to the organisation in question. We have already provided above several examples of using quantitative secondary data. how to write a research paper from thesis Finally, in our third example, the original research was a qualitative investigation into the reasons for living on boats.
Chapter 5 — Interpreting the Research Material This chapter should focus on drawing together the findings that have emerged from your analysis and relating them to other previous studies identified earlier in the literature review. This may require you to take extra steps to obtain such information, if that is possible at all. report writing services with sql server Suppose that, in your research, you want to investigate whether pregnant women of different nationalities experience different levels of anxiety during different pregnancy stages. Outline all variables of interest; Transfer data to a new file; Address missing data; Recode variables; Calculate final scores; Analyse the data. During the secondary data evaluation process, you will familiarise yourself with the original research.
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The aim of the first research example was to investigate mental difficulties e. So, go make a decent-sized mug of your favourite hot beverage consider a glass of water , too then come back and get comfy. May not answer your research question: These usually focus their research on media statistics and consumer information, which may be relevant if, for example, your research is within media studies or you are investigating consumer behaviour.
The findings of the research undertaken should be presented in a clear and unambiguous manner. 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. In your own research, you may thus be looking at whether there is a correlation between smoking and drinking among this population. A sharp synopsis suggests to the reader that the work is focused and that you have a good grasp of your accomplished work. The conceptual framework guides the identification of the data sources relevant to answering your research questions.
Instead of undertaking this long endeavour, you thus decide to find a secondary data set — one that investigated for instance a range of difficulties experienced by pregnant women in a nationwide sample. Apart from being potentially inappropriate for your own research purposes, secondary data could have a different format than you require. The above two disadvantages may lead to yet another one: