NURS 8200 Identify your selected problem in the first line of your posting and post your research question

 

When determining the relationship between the dependent and independent variables, there is always the consideration of Pearson correlation (Chen et al., 2019). A strong correlation is always indicated by values closer to 1, either from a positive or negative direction (Grove et al., 2021). The expected relationship between receiving nicotine products and the remaining patient smoke-free 6 months post-discharge is positive, and that these patients have a greater chance of success to stop smoking. When there is no strong correlation between the dependent and independent variables, we fail to reject the null hypothesis. On the other hand, a strong correlation between the dependent and independent variables means that we use the alternative hypothesis to make a conclusion. Some of the factors that may impact the outcomes of the research process include the extraneous variables that may be recorded during the data collection process.

References

Chen, Z., Cao, Y., Ding, S. X., Zhang, K., Koenings, T., Peng, T., … & Gui, W. (2019). A distributed canonical correlation analysis-based fault detection method for plant-wide process monitoring. IEEE Transactions on Industrial Informatics, 15(5), 2710-2720. https://ieeexplore.ieee.org/abstract/document/8611377/

Grove, S. K., Burns, N., & Gray, J. (2021). The practice of nursing research: Appraisal, synthesis, and generation of evidence. Elsevier Health Sciences.