Psychometric properties of the state Probability and Consequences Questionnaire for social anxiety disorder.

Shnier, NL; Burton, AL; Rapee, RM; Modini, M; Abbott, MJ

Psychometric properties of the state Probability and Consequences Questionnaire for social anxiety disorder.

Shnier, NL Burton, AL Rapee, RM Modini, M Abbott, MJ

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Publisher:: Elsevier
Publication Type:: Journal Article
Citation:: J Anxiety Disord, 2022, 92, pp. 102636
Issue Date:: 2022-12

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Field	Value	Language
dc.contributor.author	Shnier, NL
dc.contributor.author	Burton, AL
dc.contributor.author	Rapee, RM
dc.contributor.author	Modini, M
dc.contributor.author	Abbott, MJ
dc.date.accessioned	2023-06-13T01:31:52Z
dc.date.available	2022-09-20
dc.date.available	2023-06-13T01:31:52Z
dc.date.issued	2022-12
dc.identifier.citation	J Anxiety Disord, 2022, 92, pp. 102636
dc.identifier.issn	0887-6185
dc.identifier.issn	1873-7897
dc.identifier.uri	http://hdl.handle.net/10453/170721
dc.description.abstract	Cognitive models of social anxiety propose that overestimation of the probability and cost of negative evaluation plays a central role in maintaining the disorder. However, there are currently no self-report state-based measures of probability and cost appraisals. The current paper examines the psychometric properties of the Probability and Consequences Questionnaire for social anxiety (PCQ-SA), which measures probability and consequence appraisals both in anticipation of, and in response to, an impromptu speech task. A total of 532 participants were recruited for the present study, consisting of 409 participants with a principal diagnosis of Social Anxiety Disorder (SAD), and 123 non-clinical controls. Results of exploratory and confirmatory factor analyses supported a two-factor solution for the PCQ-SA. The PCQ-SA demonstrated excellent internal consistency, excellent test-retest reliability, good convergent validity at both time points (i.e., pre and post speech task), and sensitivity to treatment. Finally, using Receiver Operating Characteristic Curve Analysis, clinical cut-off scores were calculated for probability and consequences at both time points, with the PCQ-SA scales showing good sensitivity, specificity, and positive and negative predictive values. Overall, the results provide evidence that the PCQ-SA possesses excellent psychometric properties. The PCQ-SA is suitable for use in clinical and research settings to assess key cognitive maintaining factors for SAD.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier
dc.relation.ispartof	J Anxiety Disord
dc.relation.isbasedon	10.1016/j.janxdis.2022.102636
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1103 Clinical Sciences, 1701 Psychology
dc.subject.classification	Clinical Psychology
dc.subject.mesh	Humans
dc.subject.mesh	Psychometrics
dc.subject.mesh	Phobia, Social
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Probability
dc.subject.mesh	Anxiety
dc.subject.mesh	Humans
dc.subject.mesh	Probability
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Anxiety
dc.subject.mesh	Psychometrics
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Phobia, Social
dc.subject.mesh	Humans
dc.subject.mesh	Psychometrics
dc.subject.mesh	Phobia, Social
dc.subject.mesh	Reproducibility of Results
dc.subject.mesh	Surveys and Questionnaires
dc.subject.mesh	Probability
dc.subject.mesh	Anxiety
dc.title	Psychometric properties of the state Probability and Consequences Questionnaire for social anxiety disorder.
dc.type	Journal Article
utslib.citation.volume	92
utslib.location.activity	Netherlands
utslib.for	1103 Clinical Sciences
utslib.for	1701 Psychology
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Graduate School of Health/GSH.Clinical Psychology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-06-13T01:31:51Z
pubs.publication-status	Published
pubs.volume	92

Abstract:

Cognitive models of social anxiety propose that overestimation of the probability and cost of negative evaluation plays a central role in maintaining the disorder. However, there are currently no self-report state-based measures of probability and cost appraisals. The current paper examines the psychometric properties of the Probability and Consequences Questionnaire for social anxiety (PCQ-SA), which measures probability and consequence appraisals both in anticipation of, and in response to, an impromptu speech task. A total of 532 participants were recruited for the present study, consisting of 409 participants with a principal diagnosis of Social Anxiety Disorder (SAD), and 123 non-clinical controls. Results of exploratory and confirmatory factor analyses supported a two-factor solution for the PCQ-SA. The PCQ-SA demonstrated excellent internal consistency, excellent test-retest reliability, good convergent validity at both time points (i.e., pre and post speech task), and sensitivity to treatment. Finally, using Receiver Operating Characteristic Curve Analysis, clinical cut-off scores were calculated for probability and consequences at both time points, with the PCQ-SA scales showing good sensitivity, specificity, and positive and negative predictive values. Overall, the results provide evidence that the PCQ-SA possesses excellent psychometric properties. The PCQ-SA is suitable for use in clinical and research settings to assess key cognitive maintaining factors for SAD.

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http://hdl.handle.net/10453/170721