To use quantitative research in acute care gerontology patients, it is essential to understand the research design that you will use, and this could be achieved by creating a suitable research project. Since there are numerous ways which can be used, it is vital for the researcher to choose the most appropriate one for the quantitative research (Bettany & Whittaker, 2014). The research design is thought to be the structure of the study where all subjects are included such as the instruments used, how the study was done and analyzed. To select the appropriate inferential test to use for your research one should use either parametric or nonparametric test.
In acute gerontology patient quantitative research, the subject of discussion is selected randomly. However, it is vital to consider that the researcher does not always have a random sample for population and may decide not to use the sample to the population from which the data was developed (Bettany & Whittaker, 2014). Therefore, the researcher may have the data for the population which is not random, and all the justification will strictly be statistic only. Secondly, the data should normally be distributed, such that the outliers skew the frequency distribution, therefore not conforming to the standard distribution curve test which is parametric or nonparametric. Also, all the variations in the results should be similar and mostly is assessed using the test for homogeneity of variances (Carpenter et al., 2015).
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Lastly, to decide the appropriate test for quantitative research in acute gerontology patients, one has to know whether the IV is within the participants or between participants and also how many levels are there, finally, whether it is appropriate to use the parametric test or not.
References
Bettany‐Saltikov, J., & Whittaker, V. J. (2014). Selecting the most appropriate inferential statistical test for your quantitative research study. Journal of Clinical Nursing , 23 (2), 1520-1531.
Carpenter, J. E., Short, N., Williams, T. E., Yandell, B., & Bowers, M. T. (2015). Improving congestive heart failure care with a clinical decision unit. Nursing Economics , 33 (5), 255-260.
