Vassilopoulos et al BC 2015 FINAL.doc

Design and procedure all data we collected in

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Design and Procedure All data we collected in classroom settings. Participation in the study was voluntary and participants were informed that all results were confidential. After participants provided informed consent, they were administered a battery of self- report measures in a fixed order (SIAS, APQ, PB-APQ, MCQ-30, BDI-II, PBRS-SA). The survey took approximately 40 minutes to complete, and a member of the research team circulated in the class to ensure confidentiality and to answer participant questions. Results Scale structure of the PB-APQ All 21 questionnaire items were factor-analysed to evaluate the psychometric properties of the measure. The Bartlett’s test of sphericity was highly significant ( p < . 001), and the obtained Kaiser-Meyer-Olkin measure of sampling accuracy of .89 suggested that the correlation matrix was adequate for factor analysis. A principal axis analysis indicated that all items except for one (which was excluded from the subsequent analyses) loaded significantly (>0.4) on one large factor and accounted for 31.68 % of the variance. Thus, this component can be interpreted as the positive beliefs about the anticipatory processing factor. No more factors with eigenvalues greater than 1.5 emerged from the analysis, and the examination of the scree plot supported this single factor solution. The factor loadings are presented in Table 1. The internal consistency of the PB-APQ items was good (Cronbach’s alpha = .89). Item- total correlations ranged from .35 to .60, and the deletion of items with the lowest item-total correlation values had minimal impact on the overall variability. Correlational analysis Table 2 presents the mean and standard deviations for the SIAS, BDI-II, PBRS-SA, APQ, and PB-APQ. Pearson correlation coefficients indicated that SIAS was significantly associated with the PB-APQ, which indicated that high levels of 8
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Anticipatory processing and metacognition social interaction anxiety were associated with stronger positive beliefs about anticipatory processing of social event. Gender was not significantly correlated with any study variable and therefore will not be considered further. Do positive beliefs about anticipatory processing of a social-evaluative event predict unique variance in anticipatory processing beyond that explained by other metacognitive constructs? To test the incremental validity of our new measure, we conducted a hierarchical regression analysis to examine whether positive beliefs about AP would predict unique variance in anticipatory processing beyond the contributions of positive beliefs about rumination and positive beliefs about worry. Table 3 provides a summary of the results of this regression analysis. In a first step, we entered positive beliefs about rumination and positive beliefs about worry. Together, these variables explained 20.3% of the variance in AP, with both positive beliefs about rumination and positive beliefs about worry explaining unique variance, F (2, 298) = 37.84, p < .
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  • Fall '19
  • Social anxiety disorder, Alprazolam

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