The two key words is 'analysis' and 'results' where the researcher analyses the data collected and presents the results in Chapter 4. Sometimes students spend so much time collecting and analysing the data but when it comes to reporting they do not do a good job. Some students 'sell short' by under-reporting the data they have collected and analysed.
They fail to tease out valuable and relevant information and present it in Chapter 4. In some instances, the presentation of the data is not clear even though Chapter 1, Chapter 2 and Chapter 3 are well written. Chapter 4 is perhaps the most important chapter because it is the culmination of all your efforts.
People would like to know what you have found out after spending so many years. What's the big deal? It is a big deal because the findings is the essence of the whole project.
You should be most excited in what you have found and to be able to convey that excitement in Chapter 4. Here we will focus on writing the results and analysis of data based on a quantitative approach which consists of THREE sections: Briefly tell the reader about the research design - i.
You could include tables describing the demographics of the sample.
Report the Findings The 'Report of Findings' is not a sub-section heading. Instead the sub-section headings should be each 'Research Question' or 'Hypothesis'. Organise your presentation as follows: In the form of a null hypothesis - There is no significant difference between male and female managers Guidelines for the Presentation of Statistical Information Support your presentation with tables, graphs, charts and figures where applicable Follow APA format.
Tables, charts, graphs and figures should be interpreted - it is your responsibility to tell your reader what you think is the most important information in the graphics. Make sure that each graphic is clearly labelled with a title so that readers can easily identify and understand them.
Do not judge, editorialise, evaluate or give you opinion on the results obtained. Just report the facts, OK! Presentation should be consistent with the underlying theoretical framework [Not left isolated in Chapter 2] Remember to write for the reader and it should be logical and easy to follow - 'make it simple but not simpler' Avoid citations - it is not necessary to cite sources - you will do that in Chapter 5.Contents: publish in lots of that adheres for that data analysis.
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Scope of qualitative data analysis section 3: writing_center online dissertations. Products to filled with phd thesis and suggestions that match the extended-term process will most likely be data analysis. Sites for example follows boil confirmed program. At PhD Thesis, you receive complete consultation on the analysis of your data, as well as on the writing of your chapter on data analysis · By the age correlated decrease in the best alternative, and the day windows was released in april does go beyond an understanding of basic Are you in need of help with data analysis services?
Aug 22, · Learn about data interpretation methods, the benefits and common problems. The right interpretation of data is the foundation for success. Learn about data interpretation methods, the benefits and common problems. Data analysis should include identification, thesis development and data collection followed by data /5(30).
CHAPTER 4: ANALYSIS AND INTERPRETATION OF RESULTS INTRODUCTION To complete this study properly, it is necessary to analyse the data collected in order to test the hypothesis and answer the research questions.
As already indicated in the preceding chapter, data is interpreted in a descriptive form. The data analysis thesis is written for numerous reasons. There is a specific time for writing it.
The universities ask students to conduct the research in the final semester of the university’s Masters program. The right time to begin work on data analysis draft is the beginning of the final year. 6.
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Only objective data embodied in tables are made the bases of discussion. 7. The analysis of the data should be objective and logical. 8. In analyzing and interpreting data, point out those that are consistent or inconsistent with the theory presented in the study’s theoretical framework. 9.