This week, you will be submitting a data analysis plan for your research proposal. Share your research questions and research project as well as your anticipated type of quantitative analy

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Research Proposal Project: Design

Cristina Lopez

NURS540

03/31/2024

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The research proposal focuses on employing mindfulness-based interventions to reduce

stress among ICU nurses. Stress causes burnout and job dissatisfaction among ICU nurses. MBIs

may lower stress, improve sleep, minimize burnout, and increase self-compassion among

healthcare professionals, especially ICU nurses, according to research. This section discusses

sampling, reliability, and validity to ensure study credibility and validity. Sampling information

will contain demographics, sample size, and selection criteria. The consistency and dependability

of the data gathering procedure and measurement instrument will be examined. Additionally, the

research's validity will be tested, including the sample and measuring equipment. These factors

will be extensively examined to provide the groundwork for studying MBIs' effects on ICU

nurses' stress and well-being, improving critical care patient care.

Sampling Information

ICU nurses from different healthcare institutions will be sampled for this research,

ranging in age, gender, and experience. ICU nurses who have worked in critical care for at least a

year will be included in the research. The sample size will be based on statistical power analysis,

aiming for a large sample to discover important effects while considering time and resource

restrictions. Correct statistical procedures will be used to calculate sample size for statistical

power. Relevance to the research topic and aims makes the sample suitable for the study. ICU

nurses are suitable for studying the stress-reduction effects of mindfulness-based therapies

because they are immediately exposed to the high-stress situation. The inclusion of nurses from

different demographics and experience levels will further improve the study's generalizability to

ICU nurses. The chosen sample is well-suited to fulfill the study goals and provide useful

insights into MBIs' stress-reduction effects on ICU nurses.

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Reliability

Several methods will ensure data collecting reliability. To ensure data collecting

consistency, standardized processes will be created and executed. To reduce data collecting

variability, research assistants and participants will get explicit instructions. Staff will also

receive frequent training on data collecting tools and methods to ensure they can accurately

administer assessments and record data. Data will be collected at consistent times and under

similar settings to reduce extraneous variables that could affect measurement results. Periodic

inter-rater reliability tests will verify data collection consistency between observers or raters to

improve reliability. The ICU nurse stress assessment instrument will undergo comprehensive

psychometric validation to ensure reliability. Izah et al. (2023) will analyze internal consistency

using Cronbach's alpha coefficient, which measures instrument item correlation. Test-retest

reliability shows measurement stability by giving the same people the instrument twice and

comparing their responses (Soltani et al., 2023). To improve reliability, the measurement tool's

validity will be evaluated to verify it measures the construct of interest. The study uses rigorous

data collection methods and trustworthy measurement devices to provide consistent and accurate

data to evaluate mindfulness-based therapies for ICU nurses' stress.

Validity

Verifying sample validity assures population representation and research aims. Determine

which ICU nurses are directly exposed to the high-stress situation under study. Participants' job

and critical care experience will be confirmed to ensure study relevance. Generalizability will be

improved by recruiting a diverse age, gender, and experience sample. Selecting participants from

multiple hospitals reduces sample biases and avoids overreliance on one. Complete psychometric

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testing will evaluate the tool's ICU nurse stress measurement validity. Content and face validity

will be checked to ensure that the instrument's items accurately represent the topic and that target

participants find it relevant and understandable. Comparing the measurement instrument to

validated questionnaires or clinical stress assessments will assess construct validity (Roy et al.,

2023). The measuring tool's scores will be compared to ICU nurses' self-reported symptoms or

objective stress outcomes to determine contemporaneous and predictive validity. Mindfulness-

based therapies' stress-reduction benefits on ICU nurses will be rigorously investigated to assure

sample selection and measurement validity.

Conclusion

Mindfulness-based interventions (MBIs) may lower ICU nurse stress, according to one

study. This study reviewed relevant literature and considered sampling, reliability, and validity to

find that MBIs may increase ICU nurses' well-being. The initiative targets a large sample of

nurses and uses strong data collection methods to verify that MBIs reduce stress and improve

mental health in critical care providers. Beyond nurse well-being, these findings may alter

intensive care patient treatment. By integrating mindfulness into nursing practice, healthcare

organizations can minimize ICU nurse stress and burnout, improving work conditions and

patient outcomes.

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References

Izah, S. C., Sylva, L., & Hait, M. (2023). Cronbach’s alpha: A cornerstone in ensuring reliability

and validity in environmental health assessment. ES Energy & Environment, Volume 23

(March 2024) In Progress(0), 1057. https://www.espublisher.com/journals/articledetails/

1057

Roy, R., Sukumar, G. M., Philip, M., & Gopalakrishna, G. (2023). Face, content, criterion and

construct validity assessment of a newly developed tool to assess and classify work–

related stress (TAWS– 16). PLOS ONE, 18(1), e0280189. https://doi.org/10.1371/

journal.pone.0280189

Soltani, T., Flynn, J. M., Ang, D., & Cendán, J. (2023). Reliability study. Elsevier EBooks, 261–

265. https://doi.org/10.1016/b978-0-323-90300-4.00104-x