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SPSS Case Study Solution

After the removal of Type of Insurance, Communication about Meds and Discharge Information, Table 4 of the document provides the actual value of Cronbach’s alpha 0.912 which is anacceptable high level internal consistency ofan individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance.

Table 4: Reliability Statistics (Cronbach’s Alpha Table)

Cronbach's Alpha	Cronbach's Alpha Based on Standardized Items	N of Items
.912	.912	8

In order to predict the factors that have a contribution to an individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance, the multiple linear regression has been used. A hypothesis to run the regression test in SPSS along with the coefficients and percentage of variance in salary that is explained by the all independent variables are represented in the below paragraphs.

Research Question:

To what extent does an individual’s perception of quality care as measured by HCAHPS scores relate to the individual’s type of healthcare insurance?

Null Hypothesis:

There is not a significant relationship to an individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance.

Alternate Hypothesis:

There is a significant relationship to an individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance.

Results:

Firstly, the ANOVA table in Table 5 of the document is shown the significance level of 0.517 (higher than the significance level of 0.05) which do not providing the strong statistical significant differences to reject the null hypothesis and to conclude that there is not a significant relationship to an individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance. Moreover, the coefficients table represents the coefficients of each independent variable that reflects the relationship between an individual’s perceptions of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance.

At last, the coefficient of determination (r²) is a measure to find the variation in one variable against the variation in others. The value of r² = 0.453 indicates that if variation will occur in one variable, it will allow around 45 percent change in other variables which allow us to make an accurate estimate for an individual’s perception of quality care as measured by HCAHPS scores in comparison to the individual’s type of healthcare insurance.

Table 5: Multiple Linear Regression

Model Summary
Model	R	R Square	Adjusted R Square	Std. Error of the Estimate
1	.453^a	.205	-.015	1.3359

a. Predictors: (Constant), Would Recommend Hospital, Communication About Meds, Cleanliness / Quietness, Discharge Information, Responsiveness of Hospital Staff, Communication about Pain, Communication with Nurses, Care Transitions, Communication with Doctors, Overall Rating of Hospital

Model		Sum of Squares	df	Mean Square	F	Sig.
1	Regression	16.606	10	1.661	.931	.517^b
	Residual	64.245	36	1.785
	Total	80.851	46

a. Dependent Variable: Type of Insurance

b. Predictors: (Constant), Would Recommend Hospital, Communication About Meds, Cleanliness / Quietness, Discharge Information, Responsiveness of Hospital Staff, Communication about Pain, Communication with Nurses, Care Transitions, Communication with Doctors, Overall Rating of Hospital.........................

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