Data analysis and findings - Research Guide - Subject.
The way you present the analysis and interpretation of your data sits within a wider thesis framework, which can itself be thought of as a story (adapted from Silverman, 2005, p. 242-43): the hypothesis story (this is the standard framework for theses in the empirical sciences).
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 Chapter Three: Research Strategy). 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.
Follow these simple tips to compose a strong piece of writing: Avoid analyzing your results in the data analysis section. Indicate whether your research is quantitative or qualitative. Provide your main research questions and the analysis methods that were applied to answer them.
One common mistake found in student writing is the presentation of the statistical analysis. During your analysis of the data, you are likely to have run multiple different analyses from regressions to correlations. Often, we see students presenting multiple different statistical analyses without any real understanding of what the tests mean.
Analysing and representing narrative data: The long and winding road Sally V. Hunter School of Health, University of New England Abstract: The analysis stage of a narrative inquiry project presents particular challenges. Finding the most suitable method of data analysis and presentation of the findings takes time and effort. It is important to.
CHAPTER 4 QUALITATIVE DATA ANALYSIS 4.1 INTRODUCTION In this chapter, I describe the qualitative analysis of the data, including the practical steps involved in the analysis. A quantitative analysis of the data follows in Chapter 5. In the qualitative phase, I analyzed the data into generative themes, which will be described individually.
Introduction to Analysis and Interpretation of Financial Statements: Analysis and interpretation of financial statements are an attempt to determine the significance and meaning of the financial statement data so that a forecast may be made of the prospects for future earnings, ability to pay interest, debt maturities, both current as well as long term, and profitability of sound dividend policy.