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ATIONSHIP BETWEEN PATIENT SATISFACTION AND INPATIENT ADMISSIONS ABn Rank-Order C

ID: 3061929 • Letter: A

Question

ATIONSHIP BETWEEN PATIENT SATISFACTION AND INPATIENT ADMISSIONS ABn Rank-Order Correlations: Teaching Versus Nonteaching Hospitals Total AdmissionsSatisfaction Admissions Satistaction (Teaching (Teaching (Nonteaching (Nonteaching Hospitals) Hospitals) Hospitals) Hospitals) Total Admissions (teaching hospitals) Satisfaction Corr. Coef. (teaching hospitals) Admissions (nonteaching Sig. (2-tailed) hospitals) Satisfaction Corr. Coeff. (nonteaching Sig (2-tailed) hospitals) Variations in N because of data availability. Corr. Coef. Sig. (2-tailed) 1.000 0.001 -0.081 0.812* 0.004 0.002 34 34 34 0.581**0.985**0.510** -0.488* Sig (2-tailed) 0.00 0.000 0.002 0.003 N* 34 34 Corr. Coeff. 0.032 0.812* 0.650 1.000 0.002 0.857 0.269 0.441** 097 0.558* 0.009 0.000 N* 34 Correlation is significant at the 0.05 level (two-tailed) teaching hospitals tend to be immersed in a very complex environment that, at times, may challenge service provid- ers, as well as the organization at large, to provide patient-focused care (Press 2002). The mission in a tertiary teaching environment contrasts sharply with the mission of a nonteaching community hospital, whose mission is to provide personal healthcare in a manner that uses the available that statistically significant differences in teaching versus nonteaching mean patient satisfaction scores were found It is possible that the focus on medi- cal education and the technical aspect of care emphasizes elements of service quality that patients are not qualified t judge or do not find intrinsicaly satist ing.Accordingly, less con be placed on the provision of healtho

Explanation / Answer

Result:

Can somebody help me with this table? It says that there are three errors in the table. I cant identify.

1). In correlation matrix , diagonal elements are 1. ( correlation with itself is always 1)

There are two diagonal numbers other than 1.

2).

The correlation matrix is symmetric because the correlation between Xi and Xj is the same as the correlation between Xj and Xi.

In the given correlation matrix some of the correlations are not symmetric.

The correlation of row 2 column 1 should be same as row 1 column 2.

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