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