analysis and interpretation of data in thesis



Ordinal scale. An ordinal scale is where: the data can be classified into non-numerical or named categories an inherent order exists among the response categories. Ordinal scales are seen in questions that call for ratings of quality (for example, very good, good, fair, poor, very poor) and agreement (for example, strongly.
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CHAPTER 6: DATA ANALYSIS AND INTERPRETATION. 358 use in this study. In the next few paragraphs, the researcher will explore the analysis and interpretation of qualitative data collected for this thesis. 6.2.1 Analysis of qualitative data. Qualitative data analysis can be described as the process of making sense from
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chapter, data is interpreted in a descriptive form. This chapter comprises the analysis, presentation and interpretation of the findings resulting from this study. The analysis and interpretation of data is carried out in two phases. The first part, which is based on the results of the questionnaire, deals with a quantitative analysis
Presentation, Analysis and Interpretation of Data Presented By: Lovely Ann F. Hezoli Objectives After studying this lesson you are expected to: 1.Be able to present the .... The implications suggested by the data should be explained and discussed thoroughly in this portion of your thesis or dissertation. The data analysis
This chapter discusses the data analysis and findings from 107 questionnaires completed by adolescent mothers ... data helped contextualise the findings and the formulation of appropriate recommendations to ...... This chapter discussed the data analysis and interpretation with reference to the literature review. The aim of
Presentations, Analysis and Interpretation of Data. 125. CHAPTER-4. PRESENTATION, ANALYSIS AND. INTERPRETATION OF DATA. "Data analysis is the process of bringing order, structure and meaning to the mass of collected data. It is a messy, ambiguous, time consuming, creative, and fascinating process. It does not
Data analysis is the process of developing answers to questions through the examination and interpretation of data. The basic steps in the analytic process consist of identifying issues, determining the availability of suitable data, deciding on which methods are appropriate for answering the questions of interest, applying

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