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Dec 10, 2022

DISSERTATION CHAPTER 4 EXAMPLE

 A dissertation is a lengthy, formal document that presents original research that is conducted by a graduate student. The dissertation is divided into several chapters, each of which focuses on a different aspect of the research.

DISSERTATION CHAPTER 4 EXAMPLE
DISSERTATION CHAPTER 4 EXAMPLE

The fourth chapter of a dissertation is typically the results chapter. In this chapter, the results of the research are presented and discussed. This chapter should provide a clear and concise description of the data collected, including any statistical analyses that were conducted.


Here is an example of a results chapter from a dissertation:


Chapter 4: Results


The results of the study are presented in this chapter. The data were collected using the survey instrument described in Chapter 3. In total, 200 participants completed the survey.


Descriptive statistics were computed for all variables in the study. The mean, standard deviation, and range were calculated for each variable.


The results of the statistical analyses are presented in tables and figures throughout this chapter. The first analysis was a simple regression analysis to examine the relationship between the independent variable (age) and the dependent variable (computer anxiety). The results of this analysis are shown in Table 4.1.


Table 4.1: Simple Regression Analysis of Age and Computer Anxiety


The results of the regression analysis indicated that there was a significant relationship between age and computer anxiety, such that older participants reported higher levels of computer anxiety.


Another analysis that was conducted was a multiple regression analysis to examine the relationship between multiple independent variables (age, gender, and education level) and the dependent variable (computer anxiety). The results of this analysis are shown in Table 4.2.


Table 4.2: Multiple Regression Analysis of Age, Gender, and Education Level on Computer Anxiety


The results of the multiple regression analysis indicated that age, gender, and education level were all significant predictors of computer anxiety. In particular, older participants, male participants, and those with a lower education level were more likely to report higher levels of computer anxiety.


Overall, the results of this study provide support for the hypothesis that older individuals, males, and those with a lower education level are more likely to experience computer anxiety. These findings have important implications for the development of interventions to reduce computer anxiety in these populations.

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