| Statistical Analysis Page | ||||||||
| Background: This project was produced in partial fulfillment of one of my classes, Health Applications in Networking. We were given a data set derived from a Tricare patient satisfaction survey. The data were loaded in a SPSS 10.1 worksheet and we were instructed to perform statistical analysis and interpretation. A general linear model / univariate analysis was utilized to observe the effects of age and service on overall satisfaction of the patients who received treatment at Physical Therapy. Overall satisfaction was derived from a seven point Likert scale with responses ranging from completely dissatisfied to completely satisfied. The following results are based on 1003 responses: AGE GROUP: Age is a good predictor variable for patient satisfaction at the Physical Therapy(PT) Clinic. SERVICE: Branch of service ,by itself, is not a good predictor for patient satisfaction at the PT Clinic After reveiwing the results of the above univariate analysis, the variable, Gender, was added to the linear model and produced the following results. AGE: Age, again, proved to be a good predictor in patient satisfaction. SERVICE: Branch of service, by itself was not a good predictor of patient satsfaction. BRANCH OFSERVICE AND AGE GROUP: Collectively, these make a good predictor for patient satisfaction at the physical therapy clinic. AGE GROUP AND GENDER: Collectively, these variables make a good predictor of patient satsfaction. |
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| Link to SPSS data | ||||||||