Thesis chapter 3 statistical treatment

Proper scientific methods should be used for this aspect of the study. Subjects This section should identify the process for selection, recruitment, and delineation of the subject pool used for your study. The subject pool should be reflective of the population selected for the study. Instrumentation The instrumentation section should identify the tool s used for collection of data. How the instrument was acquired or created as well as reliability and validity of the instrument should be presented in this section.

Procedures All aspects pertaining to the entire process conducted should be described.

Careful consideration should be paid to approval of methods and treatment of human or animal subjects. All treatments should be carefully described as well as notification of risks for participation. Statistical Analysis Provide a clear description of the statistical process used for analysis of data. The type of statistical tests should be reflective of the research hypothesis or question s. Chapter Four Results Order of Presentation Offer your results in an order that is similar to the order you presented your hypothesis or research questions.


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Descriptive Data Provide all the descriptive data such as demographic results. Results of Statistical Testing Give the results of the statistical processes conducted for your study. Provide only the results and avoid offering conclusions or interpretations of the results. Interpretations of Statistical Results Offer a brief summary of the results with foundational interpretations of what the statistics provide. This is a time to expound on your results and offer insight into what your study does or does not contribute to the body of information on your topic.

Conclusions Drawn by Results Identify specific conclusions resulting from you study. Offer specific insight to what your findings reveal. This section should synthesize your findings with the current knowledge in your area of study. Recommendations for Further Research Provide recommendations to further research on this topic or how parts of your study could be improved upon. If you found as a result of your study that another topic should be looked at in order to offer more insight into this topic, then suggest that at this time. It is important that this part of your conclusion chapter incorporate the implications of your findings in terms of other research in your area of study.

Literature Cited Provide a list of references used for this paper. Provide them in the style agreed upon by your committee. Appendices Examples of items: Letters written to subjects Questionnaires Large data files or sheets not appropriate for main body of thesis. The first part of the introduction should clearly state the purpose of the study. A clear statement s that identifies the precise research question should be included.

As part of the purpose of the study, there should be justification for conducting the project. A simple list of definitions of terms that directly pertain to this study should be provided. A brief statement identifying the delimitations, limitations, and assumptions associated with your study should be provided. There have been 24 concerns raised to clarify the impact of intrinsic factors such as attitude, subjective norms, behavioural control and motivation. However the first run communality of the factor analysis indicated almost ten concerns that have reflected statistical insignificance and some are redundantly used to capture same information.

Therefore all of those ten factors have been eliminated from the factor solution for further analysis. KMO and Bartlett's Test. Bartlett's Test of Sphericity. The components extracted represent the four areas of intrinsic influence that include Attitude Component1 , Subjective Norms Component2 , Behavioural Control Component3 , and Motivation Component 4. The Scree plot affirms that four of the components remain within the range of eigenvalue of 1.

Based on the factor analysis the number of factors that need to be involved has been reduced to This number constitutes the main category of factors that influence the consumer eReadiness; that includes demographic factors, factors related to enabling environment, factors related to enablers, and intrinsic factors.

Preliminary reliability tests suggested several criteria as unreliable. An account of the modification is as follows:. Cronbach's Alpha. Initial overall Reliability Score of 28 Items. Household Income If Deleted. Geographical Location If Deleted.

WRITING CHAPTER 4: DATA ANALYSIS [Quantitative]

Awareness on Availability of Businesses If Deleted. Economic Pressure If Deleted. Disability Status If Deleted.

Practical Research 2 (Chapter 3) Part 1

House Status If Deleted. Concluded overall reliability Score of 22 Items. The final reliability score stands at. Based on the reliability suggestions, a total of six items stated in the table above have been omitted from further analysis. The table of reliability scores of remaining 22 items is as follows:. Reliability Statistics.

Cronbach's Alpha Based on Standardized Items. N of Items. Scale Statistics. Based on recommendations identified from the reliability test the omitted six items will be modified on the hypothesis model. The discussion on the modification and reliability results will be provided in chapter 5. As stated above in the beginning of this section, the initial test of normality turned out unfavourable for all of the demographic sample sets resulting non-normal distribution.


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  • After the Reliability test, Gender, Age, and Employment Status have been the demographic samples available for further analysis. However, most of the K-S values for these factors too have been. The results indicate that none of the parametric tests like One-way ANOVA, Chi-Squared tests can be performed for the existing set of samples as those testing require normally distributed data. Therefore alternatively, the equalling nonparametric tests have been optioned to identify the correlation between the factors shortlisted from the reliability test.

    This test is more appropriate when the data set is non-normally distributed, small in size and too many rankings. In this particular context, the research data very much reflects the same scenario; therefore this test has been used to evaluate the correlation between the variables. Correlation1: Demographics Vs Internet Adoption. Internet Adoption. Correlation Coefficient. Employment Status:. Correlation is significant at the 0.

    The figures show that gender has neither a higher score of correlation nor statistical significance as p.

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    However comparatively, age and employment status have higher scores of correlation and statistical significance as their p-values are less than 0. Age has a stronger correlation than employment status as demonstrated by the correlation scores and statistical significance. Physical Infrastructure Vs Internet Adoption. Reliability of Physical Infrastructure. Availability-Accessibility of Physical Infrastructure.

    Sample Thesis Chapter 3 Statistical Treatment Of Data Methodology Research Slideshare

    Affordability of Physical Infrastructure. All of the factors stated under physical infrastructure are reported to have neither significant correlation nor statistical significance as their p-values are greater than 0. Soft Infrastructure Vs Internet Adoption. Government Commitment -Soft.

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    Economy - Soft. Legal Frame Work - Soft. Access to ICT - Soft.

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    In the same way, the soft infrastructure factors such as government commitment, legal framework, and access to ICT have shown very weak correlation with the internet adoption. On the other hand, they do not have statistical significance as well. Business Readiness Vs Internet Adoption. Business Readiness.

    Business readiness has no significant correlation too.

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