How to write a critical essay on a doctoral dissertation writing services book what is the best definition of a literary analysis essay March 3, Best Dissertation Writing Services. Top-Ranked by Students! February 28, Doctoral Dissertation Writing Help & The discussion chapter is where you interpret and explain your results within your thesis or dissertation. This contrasts with the results chapter, where you merely present and describe the analysis findings (whether qualitative or quantitative). In the discussion chapter, you elaborate on and evaluate your research findings, and discuss the significance and implications of your results This can include the literature review, analysis of findings, methodology, and discussion and conclusion - but ultimately it is up to you. News and events 17/05/06 Ever thought how much time and effort it would take to write a dissertation?
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The reliability analysis was performed on the complete data of the questionnaire. The reliability of the data was found to be 0. However, the complete results output of the reliability analysis is given in the appendix. All of the 29 items of the questionnaire had excellent reliability, data analysis discussion dissertation, and if they are taken for further analysis, they can generate results with Section 1 of the questionnaire had 5 demographic questions to identify; gender, age group, annual income, marital status, and education level of the research sample.
The frequency distribution results shown in table 4. This shows that the research sample was free from gender-based biases as males data analysis discussion dissertation females had equal representation in the sample.
Furthermore, the annual income level was divided into four categories. The income values were in GBP. This means that most of the data analysis discussion dissertation were single. Based on frequency distribution, it was also found that the education level of the respondents was data analysis discussion dissertation using four categories of education level, namely; diploma, graduate, master, and doctorate. This suggests that most of the respondents were either graduate or diploma holders.
The hypotheses were tested using linear multiple regression analysis to determine which of the dependent variables had a significant positive effect on the customer loyalty of the five-star hotel brands.
The results of the regression analysis are summarized in the following table 4. However, the complete SPSS output of the regression analysis is given in the appendix. Table 4. Predictors: ConstantTrustworthiness, Public Relation, Brand Image, Corporate Identity, Perceived Quality Dependent Variable: Customer Loyalty.
on the data. Moreover, the adjusted R-Square value was 0. Furthermore, the presence of the significant effect of the 5 predicting variables on customer loyalty was identified based on their data analysis discussion dissertation. The effect of a predicting variable is significant if its sig.
Value is less than 0. Value 0. value 0. Based on the regression analysis, it was found that brand image and perceived quality have a significant positive effect on customer loyalty. In contrast, corporate identity, public relations, and trustworthiness have an insignificant effect on customer loyalty. Therefore the two hypotheses; H1 and H4 were accepted, however the three hypotheses; H2, H3, and H5 were rejected as indicated in table 4.
The insignificant variables corporate identity, data analysis discussion dissertation, public relation and trustworthiness were excluded from equation 1. After excluding the insignificant variables from the model equation 1, the final equation becomes as follows.
The above equation suggests that a 1 unit increase in brand image is likely to result in 0. In comparison, 1 data analysis discussion dissertation increase in perceived quality can result in 0. In this regards the five demographic variables; gender, age group, data analysis discussion dissertation, annual income, marital status and education level were cross-tabulated against the five questions regarding customer loyalty to know the difference between the customer loyalty of five-star hotels of UK based on demographic differences.
The results of the cross-tabulation analysis are given in the appendix. The results are graphically presented in bar charts too, which are also given in the appendix. This shows that in comparison with a male, females were data analysis discussion dissertation agreed that they stayed at one hotel and were found to be more loyal towards their respective hotel brands. Based on the results, the females were found to be in more agreement than males that they always say positive things about their respective hotel brand to other people.
This result also suggested that females were more in agreement than males to recommend their hotel brand to others. Based on this result, it was clear that females were more agreed than males that they would continue to go to the same hotel irrespective of the prices, so females were found to be more loyal than males.
The results indicated that out of 78 respondents between 20 to 35 years of age, While out of respondents who were between 36 to 60 years of age, However, out of 9 respondents who were above 60 years of age, This indicated that customers of and above 60 age groups were more loyal to their hotel brands as they were keener to stay at a respective hotel brand, data analysis discussion dissertation.
The results indicated that out of 26 respondents who had annual income up to GBP, However, out of 54 respondents who had annual income from to GBP, Although out of respondents had annual income from to GBP, While out of 10 respondents who had annual income from to GBP, This indicated that customers of annual income levels from to GBP were more loyal to their hotel brands than the customers having other annual income levels.
The cross-tabulation analysis results indicated that out of single respondents, Thus, the married customers were more loyal to their hotel brands than unmarried customers because, in comparison, married customers prefer to stay at one hotel brand. To proceed with the cross-tabulation results, out of single respondents, On the other hand, out of 78 married respondents, Hence, upon evaluating the results, it can be said that married customers have more customer loyalty as they are in more agreement than singles.
They always give positive feedback regarding their respective hotel brand to other people. The results indicated that out data analysis discussion dissertation 50 respondents who were diploma holders, data analysis discussion dissertation, While out of 64 respondents who were graduates, Although out of 22 respondents who were masters, This indicated that customers who were graduates were more loyal than the customers with diplomas, masters, or doctorates.
Moreover, data analysis discussion dissertation, In comparison, However, Based on this result customers having masters were the most loyal customers of their respective five-star hotel brands. Order Now. In this subsection, the findings of this study are compared and contrasted with the literature to identify which of the past research supports the present research findings. This present study based on regression analysis suggested that brand image can have a significant positive effect on the customer loyalty of five-star hotels in the UK, data analysis discussion dissertation.
This finding was supported by the research of Heung et al. Moreover, this present study also suggested that perceived quality was the second factor that was found to have a significant positive effect on customer loyalty.
The perceived quality was evaluated based on; service quality, comfort, staff courtesy, data analysis discussion dissertation, customer satisfaction, and service quality expectations, data analysis discussion dissertation. In this regard, Tat and Raymond research supports the findings of this study. The staff service quality was found to affect customer loyalty and the level of satisfaction.
Teas had also found service quality to affect customer loyalty, data analysis discussion dissertation. However, Teas also found that staff empathy staff courtesy towards customers can also affect customer loyalty. The research of Rowley and Dawes also supports the finding of this present study. The customers who had bachelor degrees and the customers who had master degrees were more loyal to the customers who had a data analysis discussion dissertation or doctorate.
Daum, P, data analysis discussion dissertation. International Synergy Management: A Strategic Approach for Raising Efficiencies in the Cross-border Interaction Process. Guetterman, T. Descriptions of Sampling Practices Within Five Approaches to Qualitative Research in Education and the Health Sciences.
Haq, M. Data analysis discussion dissertation Comparative Analysis of Qualitative and Quantitative Research Methods and a Justification for Adopting Mixed Methods in Social Research PDF Download Available. Good practice in the conduct and reporting of survey research. Int J Qual Health Care 15, — If you are the original writer of this Dissertation Chapter and no longer wish to have it published on the www. com then please:.
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include the type of study (“An Analysis”) and the participants. Use of keywords will promote proper categorization into data-bases such as ERIC (the Education Resources Information Center) and Dissertation Abstracts International. Frequent Errors Frequent title errors include the use of trendy, elaborate, nonspecific, or literaryFile Size: KB Where is the best dissertation help at an affordable price? March 3, Even if the deadline for completing your thesis is pretty tight, a professional dissertation writer will help you to beat it. February 28, Writers from top-rated dissertation writing services come from a wide range of countries. February 25, Missing: data analysis From the preceding discussion of data analysis and interpretation, the views, ideas and interpretation of qualitative data collected for this thesis. Analysis of qualitative data Qualitative data analysis can be described as the process of making sense from research participants‟ views and opinions of situations, corresponding File Size: 1MB
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