Presenting qualitative data in dissertation

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Presenting qualitative data in dissertation

For reference purposes, tables are usually the sensible option. Extensive tables should usually appear as appendices at the end of a report. In general, tables are better than graphs for giving structured numeric information.

Graphs are better for demonstrating trends, making comparisons or showing relationships. Text alone should not be used to convey more than three or four numbers. Sets of numerical results should usually be presented as tables or pictures, rather than included in the text.

When whole numbers are given in text, numbers less than, or equal to, nine should be written as words, while numbers from 10 upwards should be written in digits. When decimal numbers are quoted, the number of significant digits should be consistent.

Generally, one point past the decimal point is sufficient. Tables and graphs should be self-explanatory.

The reader should be able to understand them without detailed reference to the text. The title should be informative and rows and columns of tables or axes of graphs should be clearly labeled. On the other hand, the text should always include mention of the key points in a table or figure.

If a table does not warrant discussion, it should not be there. Statistical information beyond means and frequencies e. When presented, care should be taken to do so in a way that does not obscure the main message of the table or graph.

Back to Top Presenting Data in Charts and Graphs Charts and graphs are often the best way to demonstrate trends in data and make comparisons between different groups. Different types of graphs are required to most efficiently and effectively present different types of findings.

Presenting qualitative data in dissertation

The following sections detail the most common types of charts and graphs and the important rules governing their use. Pie Charts Pie charts have limited utility. Pie charts emphasize general findings, but do not make small differences apparent.

Pie charts should only be used to represent categorical data with a relatively small number of values and should not consist of more than five or six slices. When presenting a pie chart, it is better not to use 3-D features, or break out the pieces, as this often makes it more difficult to compare the relative size of the slices.

It is always necessary to include category labels or a legend that describes which slice corresponds with which category. If labels are brief enough, it is better to place category labels directly next to the pie slices to which they correspond.

It is good practice to include value labels indicating the percentage of the pie represented by a given slice. It is also good to pre-sort data so that, clockwise or counter-clockwise, the relative size of pie slices is most apparent. The purpose of color in pie charts is to differentiate between pie slices to further facilitate comparison.

When using color, it should be used thematically. The best use of color in a size-ordered pie chart is a progression of dark to light hues from the largest slice to smallest slice see 2-D pie chart above. A bar graph, rather than multiple pie graphs, is the better option if data need to be compared by more than one value.

Pie graphs should not be used to represent more than one categorization of data.Volume 7, No. 1, Art. 11 – January Textbooks on Qualitative Research and Method/Methodology: Toward a Praxis of Method.

Wolff-Michael Roth. Abstract: Methodology is a fetishism, an ideology, consisting of catalogs of precepts that make sense only when a researcher already understands what methodology is about. Although most scholars are aware of a theory–praxis gap in doing.

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Oct 11,  · The purpose of this paper is to help authors to think about ways to present qualitative research papers in the American Journal of Pharmaceutical initiativeblog.com also discusses methods for reviewers to assess the rigour, quality, and usefulness of qualitative research.

Presenting Your Dissertation Results & Discussion December 23, April 28, Jane Dissertation Research, Dissertation Writing, Dissertations When it comes to the point of presenting your dissertation results and discussing them you may be a little confused how to do this and so many of us are when we first do it.

Barbara Felver, data visualization specialist in the Research and Data Analysis (RDA) Division of Washington State’s Dept. of Social and Health Services does a great job illustrating a variety of quantitative and qualitative data for research and survey reports. Volume 16, No.

2, Art. 8 – May A Software-Assisted Qualitative Content Analysis of News Articles: Example and Reflections. Florian Kaefer, Juliet Roper & Paresha Sinha.

Abstract: This article offers a step-by-step description of how qualitative data analysis software can be used for a qualitative content analysis of newspaper articles.

WRITING CHAPTER 4: ANALYSIS OF DATA (Qualitative)