Data Analysis Plan Essay

Data Analysis Plan Essay

The research questions in the study were used to formulate the independent and dependent variables. The research questions are How would advance care planning affect patients and their experience with end-of-life care? What kind of barriers exists with early care planning? Would advance care planning affect the length of a patient’s hospital stay? Therefore, the independent variable in the study is advance care planning. The dependent variables include the length of hospital stay and patient experience with end-of-life care.

The null hypotheses are advance care planning does not influence the length of hospital stay, and patient experience in end-of-life care is not influenced by advance care planning. On the other hand, the research hypotheses are: advance care planning influences the length of hospital stay, and advance care planning affects patient experience with end-of-life care.

T-test is the analysis type that will be conducted to test the research hypothesis. T-test is the statistical test used to compare the means of two groups (Kim & Park, 2019). It tests a hypothesis by determining whether the process or intervention affects the population of interest. In this care, the intervention is advanced care planning. The T-test analysis method will be used to identify whether it affects the length of hospital stay and patient experience with end-of-life care. The T-test analysis type is most appropriate for my research since the research hypothesis tested aims at determining the effect of advanced care planning on the population of interest.

The significance level in this study will be 0.05 since the confidence interval that will be used is 0.95. The significance level is determined from 1 minus the confidence level. Having a significance level of 0.05 means that the mean will be greater than the null hypothesis.

The expected results of the quantitative study are that advance care planning affects the length of hospital stay and patient experience in end-of-life care. The null hypothesis will be rejected if the results are random and there is less than a 5% chance of producing a positive value. The research hypothesis will be accepted if the t-value exceeds 5%. Mishra et al. (2019) note that if the t-score value computed is beyond the critical value in either direction, the null hypothesis is rejected and the research hypothesis is accepted.

References

Kim, T. K., & Park, J. H. (2019). More about the basic assumptions of t-test: normality and sample size. Korean Journal of Anesthesiology, 72(4), 331–335. https://doi.org/10.4097/kja.d.18.00292

Mishra, P., Singh, U., Pandey, C. M., Mishra, P., & Pandey, G. (2019). Application of student’s t-test, analysis of variance, and covariance. Annals of Cardiac Anaesthesia, 22(4), 407. https://doi.org/10.4103%2Faca.ACA_94_19

 

ORDER A PLAGIARISM-FREE PAPER HERE

For this section of your research proposal assignment, you will carefully design a plan for analyzing your quantitative data. Explain in detail how you will go about analyzing your data. Be sure to:

Include definitions of all variables

Identify your null hypothesis and research hypothesis

Include the type of analysis to be conducted (correlation, t-test, confidence interval, regression, ANOVA, ANCOVA, etc.)

Explain why this type of analysis is most appropriate for your research

Identify the significance level (typically set to .05, but may be set to .01 or .10)

Explain what results you are looking for in your quantitative study (how will you know if you will accept or reject your null and research hypothesis?)

APA formatting, references, and citations are required.

Your research project data analysis plan should be included as part of your final submission for your research proposal project in week 7 and your research proposal presentation in week 8. Use the feedback you receive from your instructor on your data analysis plan to modify and improve before submission of your final project in weeks 7 and 8.