Analysing Results Dissertation Text

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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. 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.

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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.

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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. 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.

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Click on the button below to find out more: conducting a dissertation analysis dissertation writing and data analysis go hand in hand, so don't put off writing anything until you have completed analysing the data. Writing up what you've done so far will help you to see what you still need, and maybe even help you figure out what's going on by forcing you to be precise and explicit. Even if you don't end up using everything you write and you won't , it keeps you generating ideas. For example a scientific dissertation would probably have very clear separation between the results and the discussion of those results whereas a social science dissertation might have an overall chapter called findings, bringing the results and their discussion together. Decisions about style of presentation may need to be made about, for example: bull whether you want to begin with an initial overview of the results, followed by the detail, or whether you move immediately into the detail of the results bull in which order you will be presenting the detailed results and bull what balance, in terms of word space, you want to achieve across the spread of results that you have.

Dissertation analysis is a significant part of your dissertation and must be written and presented in the best possible way. A dissertation analysis is not only a representation of the basic theme of your dissertation but it also illustrates your writing and analytical skills, it rsquo s not an easy task but that rsquo s exactly what makes the dissertation analysis one of the most important elements of your dissertation. Your dissertation supervisor or facility board who ultimately grade your dissertation prefer to read this part with focus since it rsquo s your own remarks about the dissertation. When writing your dissertation analysis be mindful of the following points: bull structure your dissertation analysis well, but do not deviate from the general format adopted throughout your dissertation. Bull a flow of information or data must be maintained all the way through the dissertation analysis. You might come across facts you think are vital for your dissertation, but some of them might not be compatible with the dissertation analysis. Bull the dissertation analysis must clearly state your point of view regarding the problem statement and should not convey contrasting theories.

Similarly, your dissertation analysis should include the following: bull the main issues of the problem statement that the dissertation represents. Bull since this section would be read carefully by the supervisors, it would be wise to include the overall significance of the whole project in the dissertation analysis. Bull also include the future possibilities of the project along with all the limitations and shortcomings.

Dedicate a few lines to the proposition of new ideas and advice for future researchers in the same field. A dissertation analysis is not only a critical evaluation of your research based on mere reflection of thoughts, but in fact is an organised examination of the dissertation itself. A good dissertation analysis can only be written after extensive reading, requires great mental sharpness and critical thinking.

The following are a few easy guidelines to help you with your dissertation analysis: bull label and categorise the most important information that you plan to include in the dissertation analysis. Bull explain unknown terms in your own words while creating the dissertation analysis. Bull while composing the dissertation analysis, try not to add or build on previously attained information, but critically evaluate that data. Please find below details of our specialist service for students looking to order a customised dissertation methodology and data analysis, either as part of a full dissertation order or as a standalone piece. Most students completing a masters dissertation will need to include a methodology and analysis section. Your methodology your methodology is the critical section of your work where you explain the procedures, methods and techniques that you used for the collection of your primary data.

It is also here that you analyse the reliability and breadth of your data collection techniques and thus build the platform from which to later judge the overall soundness of the conclusions you reach at the end of your dissertation. Nonetheless, many students find their methodology to be the most difficult part of their dissertation. This is mostly due to the fact that most students have not completed a full length methodology or analysis before and therefore are not familiar with the particular theoretical, structural, formatting and referencing requirements for these types of work. Moreover, many students fail to give a comprehensive or clear enough description of the actual methods they employed in their primary data collection, but rather give a much too vague and generalised account of the procedure. Your data analysis correct statistical analysis of data is one of the most difficult aspects of your dissertation.

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No matter whether you are using a specific data analysis program such as spss or linux, or whether you take a purely descriptive and non technical approach, the analysis of primary data can be an intimidating and arduous task. If you plan to use a quantitative statistical analysis as part of your research project, every aspect of your experimental design must be checked against the statistical test you plan to apply. Students, particularly at masters level, often come across serious problems when it comes to applying a valid and informative statistical test, because their method did not meet the requirements of the test. There are various fundamental principles to experimental design including replication, randomisation and blocking techniques.

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