Plan for Data Analysis for Demographic Variables
To understand the effects that peer mentorship and self-management have on the process of alleviating pain among patients, one should consider the demographic characteristics of the target population as one of the factors that are likely to affect the study results extensively. To gain a deeper insight into the unique characteristics of the target population, one should consider descriptive statistical tests. Thus, significant differences between the participants as far as their age, sex, ethnicity, etc., are concerned, will be identified successfully (Elliott & Woodward, 2014).
We will write a custom Research Paper on Pain Alleviation and Peer Mentorship: Variables specifically for you
301 certified writers online
Particularly, it will be necessary to identify the means, the medians, and the standard deviations of the key demographic variables. The information retrieved in the course of the analysis will shed light on the factors that may contribute to the inaccurate in the future research results. Consequently, the accuracy of the research outcomes will be addressed successfully.
For instance, it will be necessary to analyze the data associated with the patients’ gender, ethnicity, and age so that the propensity to develop specific pain management techniques could be correlated with the identified variables. Furthermore, it may be required to consider the patients’ characteristics, such as their education. The identified variable is especially important in assessing the patients’ ability to develop the necessary pain management abilities since the acquisition of the relevant skills will demand the use of self-analysis. Since there is a reason to assume that the patients with an academic background have more experience in analysis, a higher rate of success among them is expected (Grove, Gray, & Burns, 2014).
Plan for Data Analysis of Study Variables
Similarly, the study variables will be analyzed with the help of the descriptive statistics tools. Standard deviations mean, and medians will be calculated to determine the correlation between the use of peer mentoring, the application of self-management strategies, and the success of alleviating pain among the study participants. It should be borne in mind that the process of quantifying the information about the degree of pain experienced by the patients will have to rely on the evidence provided by the participants. Therefore, there is a possibility of subjective information appearing in the study. To reduce the effects that the said subjective elements would have on the research, one will have to consider using general pain measurement tests.
Furthermore, scatter plots will be incorporated into the research at the identified stage so that the current tendencies among the research participants could be identified. The specified element of statistical analysis is especially important for determining the current tendencies among the target population as far as the acquisition of the relevant skills and abilities is concerned.
It should be borne in mind, though, that the focus on the current trend should not be viewed as the sole purpose of integrating the statistical analysis into the study. While it is important to determine the general tendencies among the specified population, it will also be crucial to make sure that unique patterns of skills development should be identified among the representatives of different groups based on the participants’ gender, age, ethnicity, etc. Thus, the essential aspects of promoting the active acquisition of pain management skills, as well as the improvement of peer mentoring strategies in different groups, can be located. Consequently, a comprehensive framework for pain alleviation can be built (Maltby, Williams, & Mcgarry, 2014).
Elliott, A. C., & Woodward, W. A. (2014). IBM SPSS by example: A practical guide to statistical data analysis. Thousand Oaks, CA: SAGE.
Grove, S. K., Gray, J. R., & Burns, N. (2014). Understanding nursing research: Building an evidence-based practice. New York, NY: Elsevier Health Sciences.
Maltby, J., Williams, G., & Mcgarry, J. (2014). Research methods for nursing and healthcare. New York, NY: Routledge.