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Thesis data analysis - The Last Degree

SPSS data analysis is abit challenging due to the time spent when learning the SPSS tool especially for new users.

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Now this is the part we've been waiting for. I must assume that youhave come up with a good idea for research, had your proposal approved,collected the data, conducted your analyses and now you're about to startwriting the dissertation. If you've done the first steps well this partshouldn't be too bad. In fact it might even be enjoyable!

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The data or information you initially collect is often in a bulky format (spreadsheets of numerical data, transcripts of interviews, or descriptions of artefacts) which need to be summarised, interpreted and analysed before you can draw conclusions.

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Many scholars prefer to know how to analyze data using SPSS; are you tired of reading all the guidelines from various websites?

We have the best data analysis statisticians who will help accordingly to make your research paper, thesis or dissertation come to reality.

If you a student from a division which has this software and you wish to use it to analyse your data, you can apply to have it installed on your pc free of charge. Go to the , read the instructions, follow the link to QSR/NVivo, and download the Software Licence Application.

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This is not always the case, but if you have had to write a Dissertation Proposal or Ethics Proposal, 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., usually ). 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.

When you come to analyse your data in , 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 section in the Fundamentals part of Lærd Dissertation, it can be a time consuming process. Unless you took an advanced statistics module/option as part of your degree (i.e., 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. Starting this process at this stage (i.e., STAGE SIX: Research strategy), rather than waiting until you finish collecting your data (i.e., ) is a sensible approach.

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When conducting dissertation data analysis, one should take into consideration the reliability and validity of the proposed data analysis tool; SPSS data analysis is one of the mostly implemented data analysis tools.

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Writing an exceptional data analysis paper is vital as you can only postulate the conclusions of your research by analyzing the data you have collected.

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A short course on statistics may help you analyse your data. Your supervisor should be able to direct you to an appropriate course or consultative service.

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Specialist statistics software such as SPSS (Statistics Package for Social Scientists) are available on campus computer pools by UniSA site license. If you are an external or offshore student, contact your supervisor to make other arrangements for data analysis.

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As a result, it's wise to seek SPSS data analysis chapter help from experienced and qualified professionals with a broad knowledge in the field of SPSS data analysis. Once you ask for help from our SPSS data analysis experts, you get your data analysis chapter done by the best dissertation data analysis writers in our firm.

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Your research methods may include the collection of information (data) which can be interpreted or analysed to frame answers to your research questions or increase knowledge of your research topic. You can collect this information in a variety of ways (interviews, surveys, experiments, observations, critical appraisal of texts, literature or works of art or other artefacts). Different collection methods will require different types of management.

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