2012
DOI: 10.1016/j.sbspro.2011.12.041
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Quantitative techniques used for analyzing the geographical particularities of patients with acute coronary syndromes

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Cited by 1 publication
(2 citation statements)
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“…We conducted a Kolmogorov-Smirnov test to check for normality, which supported the univariate normality assumption. In addition, the variance inflation factors (VIF) were below the common cut-off threshold of 10, indicating that multicollinearity was not a concern [58]. Summary statistics and correlations for the sample of 166 firms are reported in Table 1.…”
Section: Analysis and Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…We conducted a Kolmogorov-Smirnov test to check for normality, which supported the univariate normality assumption. In addition, the variance inflation factors (VIF) were below the common cut-off threshold of 10, indicating that multicollinearity was not a concern [58]. Summary statistics and correlations for the sample of 166 firms are reported in Table 1.…”
Section: Analysis and Resultsmentioning
confidence: 99%
“…All AVE estimates are above 0.50, and are greater than the highest squared construction correlation (SIC) estimates. These tests provide good evidence of discriminant validity [57,58].…”
Section: Construct Validitymentioning
confidence: 97%