However, before you collect your data, having followed the research strategy you set out in this stage six. It is useful to think about the data analysis techniques you may apply to your data when it is collected. The statistical tests that are appropriate for your dissertation will depend on a the research questions/hypotheses you have set, b the research design you are using, and c the nature of your data.

You should already been clear about your research questions/hypotheses from stage three: setting research questions and/or hypotheses. As well as knowing the goal of your research design from step two: research design in this stage six: setting your research strategy. These two pieces of information your research questions/hypotheses and research design will let you know, in principle. The statistical tests that may be appropriate to run on your data in order to answer your research questions. We highlight the words in principle and may because the most appropriate statistical test to run on your data not only depend on your research questions/hypotheses and research design, but also the nature of your data. In the fundamentals part of l rd dissertation, a not all data is the same, and b not all variables are measured in the same way i.e.

Terms we explain in the data analysis section in the fundamentals part of l rd dissertation. As a result, you might think that running a particular statistical test is correct at this point of setting your research strategy e.g. A statistical test called a dependent t test , based on the research questions/hypotheses you have set, but when you collect your data i.e. During stage eight: data collection , the data may fail certain assumptions that are important to such a statistical test i.e. A wilcoxon signed rank test instead of a dependent t test . At this stage in the dissertation process, it is important, or at the very least, useful to think about the data analysis techniques you may apply to your data when it is collected. We suggest that you do this for two reasons: supervisors sometimes expect you to know what statistical analysis you will perform at this stage of the dissertation process this is not always the case, but if you have had to write a dissertation proposal or ethics proposal.

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There is sometimes an expectation that you explain the type of data analysis that you plan to carry out. An understanding of the data analysis that you will carry out on your data can also be an expected component of the research strategy chapter of your dissertation write up i.e. Therefore, it is a good time to think about the data analysis process if you plan to start writing up this chapter at this stage. It takes time to get your head around data analysis when you come to analyse your data in stage nine: data analysis. You will need to think about a selecting the correct statistical tests to perform on your data, b running these tests on your data using a statistics package such as spss, and c learning how to interpret the output from such statistical tests so that you can answer your research questions or hypotheses. Whilst we show you how to do this for a wide range of scenarios in the in the data analysis section in the fundamentals part of l rd dissertation, it can be a time consuming process. Not just an introductory course to statistics, which are often taught in undergraduate and master?s degrees , it can take time to get your head around data analysis.

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stage six: research strategy , rather than waiting until you finish collecting your data i.e. Setting the research strategy for your dissertation required you to describe, explain and justify the research paradigm, quantitative research design, research method s , sampling strategy, and approach towards research ethics and data analysis that you plan to follow, as well as determine how you will ensure the research quality of your findings so that you can effectively answer your research questions/hypotheses. However, from a practical perspective, just remember that the main goal of stage six: research strategy is to have a clear research strategy that you can implement i.e. After all, if you are unable to clearly follow your plan and carry out your research in the field, you will struggle to answer your research questions/hypotheses. Once you are sure that you have a clear plan, it is a good idea to take a step back, speak with your supervisor, and assess where you are before moving on to collect data. your dissertation analysis section is the single most important part of your dissertation. Without analysis your work is likely to fail. some universities expect there to be separate chapters that deal specifically with the presentation of data and its analysis.

However, whether or not this is the case where you are studying be under no illusions analysis is the most important part of your work. Moreover, it is expected to be ever present throughout the entirety of your work and not just in 'analysis chapters'. Indeed, as shown above, the literature review that receives the best mark is the one that analyses how the existing literature is directly relevant to the dissertation being written. Throughout your work you need to explain why that which you have written, noted, recorded or commented upon is important.

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When you are writing you need to think 'is the relevance of this sentence or fact clear to the reader?' if it is not then you are not adding sufficient analysis. To use two examples: it is not enough, for example, in an economics dissertation to just state that 'p 1', or to note in a medical dissertation that 'the half life of citalopram is 24 48 hours'. The dissertation must explain why these facts or opinions are relevant and how they add understanding to that which you are writing. Such examples are likely to elicit a response from the marker of 'so what' and will accordingly receive a low grade for analysis. In contrast, the dissertation sentence that states the following will receive a higher grade because the importance of the fact has been explained and directly linked to wider questions being explored within the dissertation.

The half life of citalopram is 24 28 hours and therefore it is important to ensure that the patient takes the medicine on a daily basis so that he does not suffer from withdrawal symptoms. However, it is possible for such a sentence to get an even higher grade if the analysis offered is linked directly to academic opinion. This is because the fact is referenced, its importance to the dissertation is clearly stated, and the analysis offered is grounded in existing academic opinion. The half life of citalopram is 24 48 hours weitzel, 2006 , and therefore it is important to ensure, as sargeant 2010 notes, that the patient takes their medicine on a daily basis so that they do not suffer from withdrawal symptoms.

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Thus, whether you are using qualitative or quantitative analysis see the methodology topic the best grades are awarded for analysis that links academic opinions to each other as well as to your thesis. Click on the button below to find out more: dissertation writing service the data analysis chapter of a dissertation is one of the most important parts. It consists of the data that has been collected as a part of the research and the researcher’s analysis of the data. Presenting the data collected and its analysis in comprehensive and easy to understand manner is the key to have a good analysis chapter.

The analysis should be in an appropriate format and detailed enough to support the researcher’s point of view. Cross referencing is a good way to relate the common points that the researches has come up between analysis and literature review. Following a theme based structure similar to that followed in the literature review giving your judgment and critical view for the results that the analysis throws up.

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If any new theme emerges from the analysis the researcher to acknowledge it and link it the appropriate conclusion that is drawn for the analysis. Avoiding jargon and giving a definition of technical terms used in the analysis the analysis chapter is the foundation on which the researcher draws the conclusion, identifies patterns and gives recommendations. The entire utility of the research work depends on how well the analysis is done. The researcher should properly document the various types of data qualitative, quantitative and the relevant approach, tools and conclusion that a researcher has drawn form the data. The most important thing to keep in mind is that the analysis is not for the sake of analysis.

The chapter should be written in lucid manner so that it is self explanatory and interesting to the reader. The writing style should be such that it communicates the findings and results to the reader. This section and the next, on reporting and discussing your findings, deal with the body of the thesis. This is where you present the data that forms the basis of your investigation, shaped by the way you have thought about it.