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In the level nine: data analysis, we discuss the data you have collected during the stage eight: data collection. Before you collect your data, it is followed in this research strategy in this stage six to think about the data analysis techniques you can get up Apply your data if it is collected.
The statistical tests that are appropriate for their dissertation depend on (a) the research questions / hypotheses they have set, (b) used by them Research design and (c) The nature of your data. You should already be clear about your research questions / hypotheses from the stage three: Setting research questions and / or hypotheses as well as the goal of your research design from step 2: Research Design in this Level Six: Set your research strategy . These two information - your research questions / hypotheses and research design - will inform you basically , the statistical tests that may be performed on your data to answer your research questions.
We highlight the words basically and can because the most suitable statistical test on your data does not only depend on your research questions / hypotheses and research design, but also the . How to identify in step three: research methods, and in the article, types of variables, in the basics part of the l?rd dissertation, (a) not all data same and (b) Not all variables are measured in the same way (ie variables can be dichotomous, ordinary or continuous). In addition, not all data normal , nor are the data when groups necessarily equal , terms we explain in the data analysis in the basics> part of the l?rd -Dissertation. As a result, they may believe that carrying out a particular statistical test is correct at this time the definition of their research strategy (eg a statistical test name dependent T-test ), based on the research questions / hypotheses, which you have set, but if you capture your data (ie during the step eight: data acquisition), the data may fail assumptions that are important for such a statistical test (ie normality) and homogeneity of the variance ). As a result, you must perform another statistical test (eg a Wilcoxon Signed Rang-Test instead of a dependent T test ).
At this time in the dissertation process, it is important or at least useful to superior about the Data analysis techniques to your data when collected. We recommend that you do this for two reasons:
Supervisors, sometimes you expect you to know what statistical analysis you do in this phase of the dissertation process
This is not always the case, but if you had a -dissertation suggestion or ethics proposal , sometimes there is an expectation that you explain the type of data analysis who you want to do. An understanding of the data analysis that you can perform in your data may also be an expected component of the Research Strategy Chapter of Your Dissertation Listings (d. H. Normally Chapter Three: Research Strategy). Therefore, it is a good time to think about the data analysis process if you want to start writing this chapter in this phase.
It takes time to bring the head to the data analysis