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Sample Research Paper on Plan for Data Analysis

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Sample Research Paper on Plan for Data Analysis


This study is premised on the research question: P – Population/Patient Problem in Parents and Children with diabetes, I – Intervention, notably, how proper nutrition and appropriate lifestyles education can remedy the problem, C – Comparison where parents and children not educated on lifestyle changes will be compared, O – Outcome, notably, how the patients manage the disease and avoidcomplications, and T- Time required in managing diabetes. In addition, this study is ingrained in determining a sampling method that can be used for this research.

In addition, premised on the information provided, this study will seek to give insight to the data analysis plans, giving a description of the plan for data analysis for demographic variables, notably, both descriptive and inferential statistical tests that will cover the scope of this study.

Sampling Method

               The sample for the study would involve children and parent respondents. Random sampling of the respondents will be done where respondents will be given an equal chance of participating in the study.

Data Analysis

               This study will utilize adescriptive research design. After data was been collected, data cleaning will be done so as to eliminate incomplete data. Besides, data coding will also done and entered into the computer and analysis done using Statistical Package for Social Sciences (SPSS) software.



Plan for Data analysis for Demographic variables
Questionnaire response rate

Respondent                  Issued                   Responded to                             Percentage (%)


Questionnaires             6055                              91.7

Source: Respondents Questionnaire

In order establish the questionnaire response rate; the researcher will examine questionnaires that were administered, for instance, 60 and 55 were returned translating to a response rate of 91.7%. Additionally, the researcher will further analyze gender representation,33 male diabetic (60%) and 22 female diabetic (40.5%) participated in the study. The response rate will be deemed excellent thus the researcher can proceed to data analysis.

Descriptive Statistical Tests

Ingrained in descriptive statistical tests, the mean and standard deviation will be utilized to give insight to the data and facilitate easy interpretation. The mean will help in giving insight to the data set distribution. On the other hand, the standard deviation will be critical in displaying how far the data set under study is spread from the mean.

In addition, frequency tables will also be utilized.As affirmed by Henderson & Barry(2014) study, frequency tables are effective in displaying data for easy interpretation. The research will utilize frequency tables in analysing data by computing the percentages of the frequencies. Computing the percentages will be critical in determining the response rate of the individual items of the questionnaires.

Plan for Data Analysis of Study Variables
Inferential Statistical Tests

               This study will employ the following null and alternative hypothesis in elucidating the plan for data analysis of study variables.

There is no significance relationship between proper nutrition and lifestyle education in reducing diabetes.

The researcher will determine the p-value, in order to set the criterion of rejecting or accepting the hypothesis. After computation, if the p-value is found to be less than 0.05, the researcher will reject the alternative hypothesis.

Ingrained on theassumption that data is randomly distributed, embracing the t-test will enable the researcher establish the differences in the effectiveness between the strategies used in managing and prevention of diabetes among respondents who participated in this study.












Bayer, R. & Fairchild, A. (2015). Privacy, State, and Disease Surveillance in America. Journal of Public health, 34, 52-57.

Cavaye, H. (2013). Doing Community-Driven Research: A Description of Seattle Partners for Healthy Communities. Journal of Urban Health, 34, 51-53.

Henderson, J., & Barry, G. (2014). Towards a World of Positive Development. Silver Spring, MD: Greenwood.





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