Coyne and Messina Articles, Part 2 Statistical Assessment - Term Paper Example

This variable is not expressed with numbers that have a true zero. Instead, a Likert-type, five-point scale for measuring patient satisfaction is used (1 stands for very poor, 2, poor, 3 fair, 4, good and 5, very good). The data obtained is subsequently converted to a scale that ranges from 0 to 100. The 1-5scores are averaged, with 0 being equated to the low end (very poor) and 100, the high end (very good). The independent variables are inpatient admissions in nonteaching and teaching hospitals.

The statistic chosen is multivariate. The statistical significance is set as r= -.28, p= .0.08, when discussing the relationship between patient satisfaction and patient admission in a combined sample. This intimates a direct correlation between patient satisfaction and lower volumes of inpatient admissions. When it comes to admission in teaching hospitals, patient satisfaction is stated as standing at 25.76, and the z-statistic is used. In the use of the z-statistic, z=-4.1, p < .001 is used.

In a nutshell, this means that the study is very significant, and thereby indicating that the null hypothesis among the two groups are not only identical but only worthy of discarding. This statistical significance also takes care of the degree of error. The degree of error may emanate from the fact that the 14 hospitals that had been designated as the research sample may have been hailing from distraught socioeconomic environments, and therefore, a good fraction of the patients might have been too grumpy to lighten up because of the physicians’ prowess, personal touch and dexterity.

In this case, it is therefore safe to say with Messina, Scott, Ganey, Zipp and Mathis (2009) that there is a direct relationship between inpatient admissions and patient satisfaction in both teaching and nonteaching hospitals. Thus, because the statistical significance is very strong, the hypothesis of the study has been verified and found to be true. In statistical