Analysis Plan
ALL RIGHTS RESERVED TO THE AUTHOR
For this study, the data will be analyzed in the following manner. The following measures will be used to describe the sample characteristics. Distance from transplant center will be measured in average miles of all peoples’ places of residences were located away from the transplant centers. Transplant center size will be determined by the average numbers of transplants done in all transplant centers in a given year. The speed with which a person obtains a transplant will be determined by the average number of months it took to obtain the kidney transplant once they went on the kidney transplant waiting list. Sex and race will be given in percentages. Age will be given as an average. Nominal variables like level of education, level of religiosity, and opinions about the transplant process will be given in percentages.
Pearson’s r regression will be used to test the correlation between transplant center size and the time a person spends on the kidney transplant waiting list. Pearson’s r regression will also be used to test the correlation between the distance in miles a person lives away from the transplant center and the time a person spends on the kidney transplant waiting list. Pearson’s r regression is an appropriate measure to test the correlation because all of the independent and dependent variables are ratio levels of measurement.
The main hypotheses will be tested as follows. If the Pearson’s r correlation coefficient is within the absolute value of .5 then the size of the transplant center and the distance a person lives away from the transplant centers will be considered weak correlations and not strong predictors for the speed with which a person is able to obtain a kidney transplant. If the Pearson’s r correlation coefficient is greater than the absolute value of .5 then the size of the transplant center and the distance a person lives away from the transplant centers will be considered strong correlations and strong predictors for the speed with which a person is able to obtain a kidney transplant.
Therefore, for the hypothesis that the closer a person lives to a transplant center the quicker that they will receive a kidney transplant, if the correlation is greater than or equal to .5, then the hypothesis will be accepted and therefore, the closer a person lives to a transplant center, the quicker that they will receive a kidney transplant. If the correlation is between -1 and less than .5 we will reject the hypothesis.
Also, therefore, for the hypothesis that the greater the quantity of kidney transplants done annually at a transplant center then the quicker the people on the waiting list at that transplant center will obtain a transplant, if the correlation is greater than or equal to .5, then the hypothesis will be accepted and therefore the more transplant a center does the quicker a person will obtain a transplant. If the correlation is between -1 and less than .5 we will reject the hypothesis. This is how the hypotheses will be measured in the hopes that the findings will increase the understanding of the speed of the kidney transplant process in the U.S.
No comments:
Post a Comment