Descriptive statistics for the CSQ-13 are presented in Table 2. Table 3 shows the correlation matrix for relations between scores on the CSQ-13 for the five dimensions of cognitive style (internality, globality, stability, self-worth, and negative consequences). As shown in Table 3, scores for all dimensions were positively correlated with one another. The internal reliability of the scores across the five dimensions was good, α = .81. A principal components analysis was performed on the scores for the five dimensions. Kaiser’s (1960) rule, scree-plot analysis, and parallel analysis

using a Monte Carlo analysis with 1000 repetitions, all suggested the extraction of a single factor. This factor (with an eigenvalue of 3.08) accounted for 61.65% of the observed variance. All five dimensions learn more loaded onto this factor, with loadings ranging from .35 to .88. Turning to reliability across the scores for the 13 scenarios, Cronbach’s selleck inhibitor alpha for the CSQ-13 was .91. As a value of alpha greater than .90 suggests that a questionnaire may contain unnecessary duplication of content (Streiner, 2003), the content of the scenarios on the CSQ-13 was re-examined for item redundancy, leading to the removal of two scenarios (‘low average mark for the year’ and ‘low mark in an assignment’) highly similar to another scenario (‘you receive a low mark for an exam’). The final

11 scenarios that remained from the CSQ-13 formed the basis of the second version of the CSQ, the CSQ-11, which was administered via the Internet to a separate sample of participants. The response items for the CSQ-11

were identical to those for the corresponding scenarios in the CSQ-13. Possible scores on the CSQ-11 ranged from 99 to 495. Descriptive statistics for the CSQ-11 are shown in Table 2. Table 4 shows the correlation matrix for relations among scores on the CSQ-11 for the five dimensions of cognitive style (internality, globality, stability, self-worth, and negative consequences). As shown in Table 4, scores for all dimensions were positively correlated with one another. The internal reliability of the scores across the five dimensions was good, α = .86. A principle Fossariinae components analysis was performed on the scores for the five dimensions. Kaiser’s (1960) rule, scree-plot analysis, and parallel analysis using a Monte Carlo analysis with 1000 repetitions, all suggested the extraction of a single factor. This factor (with an eigenvalue of 3.31) accounted for 66.15% of the observed variance. All five dimensions loaded onto this factor, with loadings ranging from .52 to .91. With respect to reliability for scores across the 11 scenarios, Cronbach’s alpha for the CSQ-11 was found to be .89, suggesting that there was still item redundancy (Streiner, 2003).