I have attached majority of the material needed to complete this Chapter. The interviews, collected data, and the previous chapters 1, 2, and 3. Please Refer the attached Academic Quality Assurance (AQuA) Form . Use this form to gconstruct different sections and components.
focus is on the introduction, results, tables and figures.
Chapter 4: Introduction, Results, Tables & Figures
Introduction – The purpose of this chapter is to summarize the collected data, how it was analyzed and then to present the results. This section provides an overview of the main contents and sections of the results. You will establish your perspective for analyzing the data and explain the organization of the rest of the chapter. This section of Chapter 4 briefly restates the problem statement, the methodology, the research question(s), hypothesis(es) or phenomena, and then offers a statement about what will be covered in this chapter. Chapter 4 should present the results of the study as clearly as possible, leaving the interpretation of the results for Chapter 5. Make sure this chapter is written in past tense and reflects how the study was actually conducted.
Results – This section discusses the findings relative to the research question and any relative sub-questions that have indirectly addressed the grand tour question to be investigated in the study. This section of Chapter 4 begins with the descriptive data, which provides a narrative summary of the population or sample characteristics and demographics of the participants in the study. It establishes the number of subjects, gender, age, education level or employee classification, (if appropriate), organization, or setting (if appropriate), and other appropriate sample characteristics (e.g., education level, program of study, employee classification, etc.). The next portion should include the actual data analysis procedures used for analyzing the data, such as a description of the coding process, and how codes were developed into themes by using examples of codes and themes. This explains any differences in why the data analysis does not match what was approved in Chapter 3, if that is the case. The results section addresses each research question with a narrative of the analysis of the data, presented in a non-evaluative, unbiased and organized manner, as facts only without opinion. Sufficient quality of data appropriate to the research design is presented. If using thematic analysis, coding and theming process must be completely described.
Tables & Figures – Tables and figures are included to enhance communication of results in a clear, concise manner. The use of graphic organizers, such as tables, charts, histograms and graphs to provide further clarification and promote readability, is encouraged to organize and present coded data. Required components include descriptive and inferential statistics. Descriptive statistics describe or summarize data sets using frequency distributions or graphical displays such as bar graphs, as well as histograms, line graphs, and scatterplots. Descriptive statistics also include numerical indexes such as averages, percentile ranks, measures of central tendency, correlations, measures of variability and standard deviation, and measures of relative standing. The results must be presented without implication, speculation, assessment, evaluation, or interpretation and the discussion of results and conclusions are described in Chapter 5.
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