Methods Designing Statistical Analysis

Methods/Design, Statistical Analysis


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The evaluative criteria (Indicators or variables) to be addressed in answering each evaluation question

The success of the proposed capstone project is based on the evaluation process to determine whether an improvement is being made. The research on the effectiveness of intermittent fasting (IF) in management is guided by the evaluation criteria important in revealing the existing gaps in the IF intervention. Therefore, the evaluation criteria adopted are based on comparing the outcomes of the implementation program of IF and then compared to the baseline data before the implementation process. The two data are compared to look at the differences. The success of the implementation process is expected to reveal a positive result. In this case, the collection of baseline data and data after implementation is based on key indicators or variables (Vitale, R., & Kim, 2020). The major variables are IF (independent) and glucose levels (dependent). Other dependent variables playing a role in influencing glucose levels are cholesterol levels, weight, and sensitivity to insulin which is indicated by the HbA1c.


The research methodologies strategies to be utilized in answering each question and their suitability

The research approaches to be adopted will involve the literature review; in this case, systemic review articles will be targeted. The search for relevant articles will focus on the role of IF in managing blood glucose levels. The relevant articles will be searched using useful databases such as PubMed, Medline, Cochrane, and Embase. The search for relevant articles will also be based on the key terms (Melynk & Fineout-Overholt, 2018). The findings from the selected articles will be important in revealing the impact of the IF on the successful management of the blood sugar level. The outcomes of this study will reveal whether IF helps reduce body weight and increases insulin sensitivity.


How data will be collected concerning the evaluative criteria or indicators

The first data will be the baseline data that will be collected using patient history about the previous values of the blood glucose levels. Upon approval by the patients, information from healthcare facilities can be relied on for the data sources. Other sources of data will be from the implementation program of IF. In this case, the selected participants will have to record their daily values of blood sugar level and weight for continuous evaluation. The collection of the data will be carried out through the implementation period.


The exact data to be collected, when, and by whom

Data collection will be a collaborative work from the providers, patients, and family members or caregivers. Healthcare providers such as nurses, physicians, endocrinologists or nutritionists will work with the patients to ensure data such as the body mass index (BMI), HbA1c, blood sugar level, HDL cholesterol values, and body weight.


Data collection tools in terms of their development and suitability in responding to questions

The collection of data will be based on experimentation and observation strategies. The baseline data are collected before implementation. The collected data is then compared to the outcome of the implementation. The experimental approach is whereby the participants are involved in the IF practice to help in the achievement of the objectives. Patients will be required to adhere to a healthy diet and engage in other recommended interventions to ensure a drop or effective management of their blood sugar.


Information on validity or reliability of tools

The information collected based on observing the baseline data collected from the healthcare facilities or patient history is authentic since it is based on the healthcare providers’ values. The information collected through experimental work throughout the implementation procedure depends on the patient’s adherence to the healthcare providers’ recommendations (Grajower & Horne, 2019). However, it is expected that the data generated will be authentic since there will be a follow-up procedure.


The reason why data collection techniques are suitable to research strategy, type of data, and purpose of evaluation

The data collection methods adopted will be appropriate since they are based on tasks performed by the providers or patients under the supervision of the providers. Data collected based on observation and experiment in this scenario are based on first-hand information.


How to analyze data, including the specific test to use

The analysis of the data will be based on the quantitative method; therefore, the statistical technique to be adopted is the chi-square test. This test is important in determining whether there is a link between the key variables in the research project. The project IF is an absolute value that is expected to help in the reduction of infection rates in the facility. Using chi-square as a statistical technique allows having cross-tabulation of the IF amongst patients. The method also objectively compares the observed and expected percentages from the implementation.























Grajower, M. M., & Horne, B. D. (2019). Clinical management of intermittent fasting in patients with diabetes mellitus. Nutrients, 11(4), 873.

Melynk, B. M., & Fineout-Overholt, E. (2018). Evidence-based practice in nursing healthcare: A guide to best practice (4 ed.). Wolters Kluwer.

Vitale, R., & Kim, Y. (2020). The effects of intermittent fasting on glycemic control and body composition in adults with obesity and type 2 diabetes: a systematic review. Metabolic Syndrome and Related Disorders, 18(10), 450-461.

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