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Data Analysis and Thesis Writing

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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The specialisation in “Content and Usage Analytics” at UFRT concentrates on the accuracy of the analysis on heterogeneous data, dealing mainly with Value, Variability and Veracity.

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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.

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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Learn about data analysis techniques and how they affect your replication-based dissertation.

if a gatekeeper is giving you a list of contacts). If your research involves data that comes under the remit of the Data Protection Act - and most research does - then it is a good idea to check with the Data Protection Officer in your organisation, to see if there are any standard protocols you should be following.Computer files including anonymised still need to be held securely, and can only be shared according to the terms of your consent from participants. Thus - for example - you need to get prior consent from participants if you plan to archive data for use by other researchers. Anonymising data is more complicated than simply assigning an ID number or pseudonym - see our section on .To ensure that anonymised or personal data are only accessible to those that have been agreed (such as your immediate team) you may need help to set up additional security systems. Consider the following example:A research team is conducting a mixed methods study, collecting quantitative and qualitative data from elderly participants in residential care.

The first semester at ULB homogenises the students’ background by introducing them to core BI competences: traditional data management, business process management, and data analytics.

The Importance of Data Accuracy and Integrity for Data Analysis …
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    Risk of acute myocardial infarction with NSAIDs in real world use: bayesian meta-analysis of individual patient data

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Data Analysis - PhD Thesis Bangalore

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.

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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:

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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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In , we discuss the data you will have collected during . 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.

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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., operationalize). 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. Therefore, when you are ready, proceed to .

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