VALIDATION DATA

MEASUREMENT PROPERTIES
Limitations >=5 European languages (English)
Observations
1. RELIABILITY
A. Internal Consistency Tested
Cronbach's (Describe)

There were varying α values across subscales; Blais & Weber, 2006: α s = 0.75, 0.83, 0.71, 0.86, and 0.79; Weber et al., 2002: α s = 0.78, 0.84, 0.77, 0.83, and 0.70, for ethical, financial, health, recreational and social risk taking scales, respectively.

B. Reliability intraobserver or test-retest Tested
Continuous scores: intraclass
correlation coefficient (ICC)
Dichotomus: Cohen kappa (Describe)

The correlations were somewhat low for the Financial and Social subscales(0.44 and 0.58, respectively), but respectable for the Health, Ethics, and Recreational subscales (0.75,0.72, and 0.80, respectively).

Test–retest reliability was similar for the Risk-Perception Scale, with lowervalues for the Financial and Social subscales (0.42 and 0.47, respectively), but better values for the Health, Ethics, and Recreational subscales (0.66, 0.67, and 0.56, respectively)

C. Reliability interobserver or Measurement error Not Tested
Standard error of measurement (SEM),
smallest detectable change (SDC) or
Limits of agreement (LoA) (Describe)
2. VALIDITY
A. Content validity: face validity Not Tested
Expert opinion (relevance and
comprehensiveness) (Describe)
B. Construct Validity:
Structural validity
Tested
Hypotheses-testing Not Tested
Cross-cultural validity Tested
Brief Description

They conducted an OLS exploratory factor analysis with oblique target rotation on the correlation matrix of the 40 risk-behavior items. The six-factor model accounted for 50.3% of the variance. The resulting factor loadings are reported in Exhibit.The six factors were easily interpretable as risks related to financial investing (accounting for 7.6% of the variance), gambling (3.7%), health/safety (21.1%), recreation (6.0%), ethics (3.2%), and social behaviors(8.6% of the variance).

C. Criterion validity Not Tested
Comparison with a 'gold standard' Continuous scores:
correlations, ROC curves Dichotomus:
Sensitivity & Specificity (Describe)