Select the population, sample size, and data collection methods appropriate for your problem statement and research question.
Write a 1,050- to 1,400-word paper describing how you will select your target population, your sample size, and your data collection methods. Your paper should include:
A rationale for identified target population
A description of a method for determining appropriate sample size
A description of a rationale for selecting the data collection methodology
An explanation of descriptive or comparative statistics appropriate for your health care problem
- A description of statistical tests that could be used to analyze the data
Expert Solution Preview
In selecting the appropriate population, sample size, and data collection methods for a health care problem, several factors must be considered. Firstly, it is essential to identify the target population for the study. The target population refers to the group of individuals from whom a sample will be drawn. The population should represent the group to whom the study results will be generalized. For instance, if the health care problem is related to cardiovascular disease, the target population could be individuals from the age of 30 to 70 who have a history of heart-related complications.
In determining the appropriate sample size, different methods could be used. One method is calculating the sample size required for a specific level of significance and power. This method involves determining the minimum number of participants needed to achieve statistical significance. Another method is determining the sample size based on the availability of resources such as time, money, and personnel. This method involves selecting a sample size that can be feasibly recruited and studied within the available means.
In selecting the data collection methodology, the researcher must choose a method that aligns with the research question and study design. The data collection method could be qualitative or quantitative. Qualitative methods involve collecting data through observation, interviews, or focus groups. Quantitative methods involve collecting numerical data through surveys or experiments. The choice of data collection method will depend on the data needed to answer the research question and the resources available for the study.
Descriptive and comparative statistics are appropriate for analyzing health care problems. Descriptive statistics involve describing and summarizing the data using measures such as mean, median, and mode. Comparative statistics involve comparing data from different groups to identify significant differences or associations. Statistical tests that could be used to analyze the data could include t-tests, ANOVA, regression analysis, and chi-squared tests, among others. The choice of statistical test will depend on the type of data collected and the research question being answered.
In conclusion, selecting the appropriate population, sample size, and data collection methods is critical for conducting research in health care. The target population should represent the group to whom the study’s results will be generalized. The sample size should be carefully determined to ensure statistical significance and the availability of resources. The data collection method should align with the research question and study design. Descriptive and comparative statistics could be used to analyze the data, and statistical tests should be chosen carefully based on the type of data collected and the research question.
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