4 chapter dissertation sample

If you need high-quality papers done quickly and with zero traces of plagiarism, PaperCoach is the way to go. Great rating and good reviews should tell you everything you need to know about this excellent writing service. A sample of Presenting Findings Qualitative — Navigating The Presenting Findings Qualitative you will start the chapter by Numbers are helpful and should not be avoided simply because this is a qualitative dissertation. The third chapter on methodology varies for a qualitative , A four- chapter dissertation incorporates the literature review into Chapter 4 Data Analysis and Findings — ETD-db: Home Chapter 4 Data Analysis and Findings In this chapter the results of the data in response to the problems posed in chapter 1 of this dissertation. Chapter 4. Click here for more information!

The Dissertation – Chapter Breakdown

This chapter will bring in the presentation of the findings and analysis derived from the online survey. A total of responses were received from the targeted potential respondents, which constitutes a Out of respondents, The responses gathered from the online survey have been analysed using the embedded tool from Survey Monkey and SPSS software. This chapter solely focuses on presenting the gathered data in a meaningful way to facilitate the discussion, which will be presented in Chapter 5.

This chapter at the outset provides the background to the respondents by analysing their demographic details. This is followed by findings and analysis of data, and the summary. The findings and analysis has incorporated general and cross tabulation analysis primarily on four broad themes that include demographics, enabling environment, awareness, and motivation. Tables and diagrams have been used to facilitate a simplistic reader-friendly writing. Finally, the summary of this chapter is provided.

The reference to the data and corresponding numeric value used in statistical analysis can be found on the survey results attached in the appendix Refer Appendix 2. The survey has been targeted for potential participants across nine provinces in Sri Lanka.

However, only participants responded to the invitation to participate within the defined time frame. The following is the response rate according to the target versus actually received:. The survey targeted 10 male and 10 female respondents to constitute 20 responses from each province.

Geographical Location:. The potential respondents were targeted based on the residential status records of available with the author of this research in these provinces. However, the responses show that most of the respondents have migrated to the Western Province either permanently or temporarily during this year. The demographical statistics of respondents can be summarized as follows:. The majority of participants have been between the ages of 18 and 35 years, which stand at Male and female participants have participated in a closely equal ratio which defers only by 5.

Out of the total survey participants, This reflects on the better economic status and living standards of the participants. On the other hand, the economic condition as a constraint for either eReadiness or eCommerce adoption is an invalid factor for this group of participants. Geographical Dispersion of Participants:. As previously stated elsewhere above, the majority of the participants were from Western Province, where the capital Colombo is located.

Therefore this reflects that the majority of participants live in well developed areas of Sri Lanka, where they have easy access to technology and innovations. The influence of this scenario is reflected by the following figures on Internet accessibility and Usage Levels. Out of the total participants who responded to the question, Out of these, In addition to that, from the respondents who have access to internet, This reflects on the higher level of accessibility to Internet by the respondents.

Internet Adoption and eReadiness. In this research context the Internet adoption has been considered as the eReadiness of individuals for eCommerce adoption. Out of respondents, 92 were internet adopters and 10 were non-adopters. Internet Accessibility:. Out of 10 internet non-adopters, 7 respondents did not have access to internet. They have been questioned about the factors that affect their accessibility to internet.

This has been clarified using a predefined set of factors from which respondents can choose one or more factors that influence this. Furthermore, a provision has also been made for respondents to express any other factors which they feel has affected their accessibility to internet.

The responses have been as follows:. What could be the reasons you would claim for not having access to Internet? Question 14, Page 8 of 22 of the survey, question asked from Internet non-adopters of 7. Answer Options. Response Percent. Response Count. I do not possess a computer at home.

IT equipments computers and modems are expensive. Internet services are unavailable in my area. Internet services are expensive. I cannot afford with my current income. I do not know how to use internet. There is no public internet access centers. Internet charges are very high at Internet access centers. I do not need to use internet. Internet connections are not good in my area due to coverage problems. Other please specify. Total Responses to the question.

The majority of respondents, a On the other hand, The reasons for this scenario have been clarified by the following question for which their responses were as follows:. What could be the reasons you would claim for not having internet at your home? Question 13, Page 7 of 22 of the survey, question asked from Internet non-adopters of 7.

None of the internet service providers sell quality services. I do not need to use internet at home. This reflects the concerns that some people have over security, and some people spent most of their time at offices and so they did not want to spend more time and money on internet at home.

The latter could also be one of the reasons for the Internet Speed:. In terms of Internet speed, These figures correlate with geographical conditions of the respondents, that most of the respondents reside in the technology rich Western Province where the internet connection speeds are higher than other provinces.

This reflects that Therefore if a feasible environment and motivation is provided for this group, they can become eCommerce adopters. When organising the survey results according to the logic used for data sampling, it can be summarised as follows:. Based on the above organised figures the transparent fact is that, 56 respondents out of respondents who answered the questionnaire, which is However, out of those Therefore, the rest of the analysis will have more emphasis on those Hypotheses have been tested to identify the correlation proposed between the eReadiness and non-adoption of eCommerce.

Several factors proposed in the hypotheses have primarily been tested with non-adopters of eCommerce, and have also been tested with the adopters of eCommerce in order to study their opinion as well on those factors. The normality test has been carried out to study the distribution of the samples and their significance to determine the rest of the analysis types. Test of Normality. If the sample size is less than 50, specifically the Shapiro-Wilk values need to be used to identify the trend; however if the sample is more than 50, it can be analysed using either of the values.

However for ease of explanation the Shapiro-Wilk sig. The Sig. However, samples for age, geographical location, and house status have been normally distributed when they are internet non-adopters.

Therefore, overall, this indicates that the samples have not been largely distributed in a normal pattern. Two significant value sets have been considered to come to a conclusion over the concerns incorporated in different categories of factors that affect the eReadiness of consumers and subsequently the eCommerce adoption. One is KMO value which determines whether the factor set is valid for factor analysis and the other one is communalities that demonstrate the amount of variance accounted in the extracted factors in a set of factor solutions.

Physical Infrastructure Status. A number of 12 concerns have been clarified under this category of factors which include the clarifications on accessibility, availability, affordability, and reliability. The validity of the factor analysis for these concerns has been affirmed by the KMO Value which stands at. Also the p-value. The Rotated Component Matrix defines the weight of each variable over the components established as follows:.

Same can be reaffirmed by looking at the Scree Plot where only first three factors remain above the eigenvalue greater than 1. The grouping of the components exactly portrays the origins of factors which include reliability Component 1 , Availability and Accessibility Component 2 , and Affordability Component 3 of physical infrastructure.

Soft Infrastructure Status. A number of 19 concerns have been raised to measure the soft infrastructure status. However the first run communality of factor analysis showed lowest variance value for almost four factors.

Based on this suggestion, those four factors have been eliminated from the analysis as they do not have any significance. Following is the factor analysis to manage the roles of the rest of the 15 factors in analysis:.

Dissertation chapter1 and chapter 4 sample. 1. FINANCIAL INNOVATION IN EUROPE AND ASIA:A COMPARATIVE STUDY; 2. Table of. For example if a sample of convenience is used, this should be explicitly stated. Specific inclusion and exclusion criteria should be noted in this section. d. Conduct.

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This chapter will bring in the presentation of the findings and analysis derived from the online survey.

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