12/28/2023 0 Comments Affordable care act raw data setThis iterative process resulted in the exclusion of variables that reported the quietness of the hospital environment, and quality of discharge information. In order to evaluate the potential for an improved measure, items were individually removed and the reliability analysis and calculation of Cronbach’s \(\alpha \) was repeated. The single measure is reliable with a Cronbach’s \(\alpha \) of 0.948, which is well above the traditional cut-off of 0.7 and indicates a reliable single measure. Given the validity of the principle components factor analysis, the 10 items are combined, then normalized and treated as a single measure. ( 2012), the fewest number of factors with sufficient eigenvalues from the analyses using the unstandardized and standardized variables were retained for further analysis. ![]() As recommended by Greenaway-McGrevy et al. Replication of the factor analysis using the standardized variables yields evidence supporting the use of a single factor with all factor loadings for Factor 1 remaining above 0.6, with only one above 0.6 for Factor 2. Similarly, Horn’s parallel analysis yields an eigenvalue of 7.6 for Factor 1. Only the eigenvalue for Factor 1 is above the standard Kaiser cut-off in the unrotated principal components analysis. The loadings on Factor 1 are all above the recommended level for scale inclusion of 0.6 in accordance with Worthington and Whittaker ( 2006). Principal components factor analysis of the non-standardized variables yields the factor loadings shown in Table 2. Factor loadings for both the unstandardized and standardized variables are generated given the panel nature of the data in accordance with Greenaway-McGrevy et al. ![]() Methods for creating the health care quality index follow the Worthington and Whittaker ( 2006) approach. To evaluate the validity of the single measure it is subjected to reliability analysis.
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