Brilliant Answer

Respond to one of your colleagues’ posts below and:

1

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Make recommendations for the design choice.

2. Explain whether you think that this is the appropriate t test to use for the research question. Why or why not?

3. As a lay reader, were you able to understand the results and their implications? Why or why not?

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Alexis

Khaja, J., Premkumar, B., Issac, B., & Gowri, M. (2018). Effectiveness of Structured Teaching Programme on Knowledge and Practice Regarding Long Term Oxygen Therapy: A Pre-Experimental Study. International Journal of Nursing Education, 10(4), 59.

The research design was a quantitative research approach with a pre-experimental one group pre-test and post-test design. The study was conducted in Pulmonary Medicine wards and outpatient departments. The study sample comprises patients with Obstructive and Restrictive Respiratory Disorders admitted in the wards and visiting the outpatient department. The population consists of those who are already initiated on LTOT and are continuing oxygen at home. A total enumerative sampling technique was used to select 67 patients who met the inclusion criteria (Khaja, et al., 2018). All patients were given one-on-one structured teaching with direct interaction to help clarify their doubts better. The number of days between pre-test and post-test was the same in all patients.

The authors used a paired t-test to assess the differences between the pre-test and post-test of knowledge and practice of LTOT. The t-test was the most appropriate choice as a t-test is a statistical test used to compare the means of two groups (Bevans, 2020). It is often used in hypothesis testing to determine whether the population of interest is affected or whether the two compared groups are different (Bevans, 2020).

The authors display the data by using the Statistical Package of SPSS version 16. The data showed that the mean age of the study participants was 57.91 years old; the range was 27-88 years old (SD = 14.51). In Table 1, most of the patients were females (73.13%), 56.17% had a school education, 59.70% has an income above 20,000 per month, 62.69% of them live in urban, and 58% of them were professionals by occupation. The clinical variables presented in Table 2 showed that the majority of the patients were non-smokers; however, 62.69% of them are diagnosed with interstitial lung disease, and 44.78% of them are on LTOT ≥ for two years (Khaja, et al., 2018).

The results stand-alone because these results added to existing statistical knowledge and insights on multiple regression. The knowledge and different aspects of practice in LTOT were found to have a significant impact on the patient’s clinical condition and safety issues. Nurses should educate their patients on safe usage, infection prevention, compliance, and risk reduction while using oxygen at home (Khaja, et al., 2018). The authors did not report the effect size. There is no mention of substantive significance, referring to whether an observed effect is large enough to be meaningful.

References

Bevans, R. (2020, December 14). An Introduction to T-Tests: Definitions, Formula and Examples. Retrieved January 07, 2021, from https://www.scribbr.com/statistics/t-test/#:~:text=A%20t%2Dtest%20is%20a,are%20different%20from%20one%20another..

 

 

meseret

The article I selected is “The impact of an international medical mission trip on the cultural competency of healthcare providers.”  

The design of the research is longitudinal design measured pre-and post-seven day of international medical mission trip at two distinct time points. This type of design doesn’t tell if the data collection method changes over time which can make maintaining the integrity of the original sample difficult.

The authors used a t-test to see if there is statistically significant of the five constructs of cultural competence: desire, encounters, awareness, knowledge, and skill.

 The authors are trying to determine whether the cultural competence of an international health care providers’ medical mission influences the population of interest. The most appropriate choice would have been to do a paired t-test rather than measuring only the difference in aggregate data pre-and post-trip through the independent t-test.

. Yes, the author has displayed the data effectively.  Data is displayed in tabular means.

Even though the t-test was non-significant due to the sample size being small, in my opinion, yes, the result stands alone. It adds to existing statistical knowledge and provides methods for future research.

 The effect size was not reported.

 
References

Martin, T. E., Parker, L. M., & Mugambi, C. M. (2019). The Impact of an International Medical Mission Trip on the Cultural Competency of Healthcare Providers. Journal of Cultural Diversity, 26(2), 76–51.