Skip to main content
Top
Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment 3/2013

01-09-2013

Psychometric Properties of the Anticipatory Social Behaviours Questionnaire

Auteurs: Adam C. Mills, DeMond M. Grant, William V. Lechner, Matt R. Judah

Gepubliceerd in: Journal of Psychopathology and Behavioral Assessment | Uitgave 3/2013

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

Relative to other components of Clark and Wells’ (1995) model, anticipatory processing has been understudied, despite research that suggests that anticipatory processing may maintain social anxiety through mechanisms such as increased anxiety, negative memory biases, and other negative consequences. Anticipatory processing has only been examined as a unitary process, with no efforts examining the underlying structure of this process. The purpose of the current study was to examine the factor structure of the Anticipatory Social Behaviours Questionnaire (ASBQ, Hinrichsen and Clark Journal of Behavior Therapy and Experimental Psychiatry, 34, 205–218, 2003) and identify relationships between the measure’s factors and other constructs of social anxiety. Study 1 (N = 861) used exploratory factor analysis and concluded that a two-factor model (Avoidance and Preparation) was the best conceptualization of anticipatory processing. Study 2 confirmed the two factor model in a separate sample (N = 485) and demonstrated the superiority of the two-factor model over a unitary model. Results of Study 3 suggested that, with a sample of high-socially-anxious undergraduates (N = 59), the Avoidance factor was more maladaptive than the Preparation factor. Results are discussed in the context of the anticipatory processing literature and future directions are proposed.
Literatuur
go back to reference Arbuckle, J. L. (2010). AMOS 19 [Computer software]. Chicago: SPSS. Arbuckle, J. L. (2010). AMOS 19 [Computer software]. Chicago: SPSS.
go back to reference Bentler, P. M. (1992). On the fit of models to covariances and methodology to the bulletin. Psychological Bulletin, 112, 400–404.CrossRefPubMed Bentler, P. M. (1992). On the fit of models to covariances and methodology to the bulletin. Psychological Bulletin, 112, 400–404.CrossRefPubMed
go back to reference Borkovec, T. D., Alcaine, O. M., & Behar, E. (2004). Avoidance theory of worry and generalized anxiety disorder. In R. G. Heimberg, C. L. Turk & D. S. Mennin (Eds.), Generalized anxiety disorder: advances in research and practice. (pp. 77–108). New York, NY US: Guilford Press. Borkovec, T. D., Alcaine, O. M., & Behar, E. (2004). Avoidance theory of worry and generalized anxiety disorder. In R. G. Heimberg, C. L. Turk & D. S. Mennin (Eds.), Generalized anxiety disorder: advances in research and practice. (pp. 77–108). New York, NY US: Guilford Press.
go back to reference Clark, D. M., & Wells, A. (1995). A cognitive model of social phobia. In R. G. Heimberg, M. R. Liebowitz, D. A. Hope, & F. R. Schneier (Eds.), Social phobia: Diagnosis, assessment, and treatment (pp. 69–93). New York: Guilford Press. Clark, D. M., & Wells, A. (1995). A cognitive model of social phobia. In R. G. Heimberg, M. R. Liebowitz, D. A. Hope, & F. R. Schneier (Eds.), Social phobia: Diagnosis, assessment, and treatment (pp. 69–93). New York: Guilford Press.
go back to reference Clark, D. M., Butler, G., Fennell, M., Hackmann, A., McManus, F., & Wells, A. (1995). Social behavior questionnaire. Unpublished questionnaire. Clark, D. M., Butler, G., Fennell, M., Hackmann, A., McManus, F., & Wells, A. (1995). Social behavior questionnaire. Unpublished questionnaire.
go back to reference Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale: Lawrence Erlbaum. Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale: Lawrence Erlbaum.
go back to reference Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185.CrossRefPubMed Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179–185.CrossRefPubMed
go back to reference Hu, L., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118.CrossRef Hu, L., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.​1080/​1070551990954011​8.CrossRef
go back to reference Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294–316). Newbury Park: Sage. Jöreskog, K. G. (1993). Testing structural equation models. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 294–316). Newbury Park: Sage.
go back to reference MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149.CrossRef MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149.CrossRef
go back to reference O’Connor, B. P. (2000). SPSS, SAS, and MATLAB programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396–402.CrossRef O’Connor, B. P. (2000). SPSS, SAS, and MATLAB programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers, 32, 396–402.CrossRef
go back to reference Stevens, J. P. (2009). Applied multivariate statistics for the social sciences (5th ed.). New York: Routledge. Stevens, J. P. (2009). Applied multivariate statistics for the social sciences (5th ed.). New York: Routledge.
go back to reference Tanaka-Matsumi, J., & Kameoka, V. A. (1986). Reliabilities and concurrent validities of popular self-report measures of depression, anxiety, and social desirability. Journal of Consulting and Clinical Psychology, 54(3), 328–333. doi:10.1037/0022-006x.54.3.328.CrossRefPubMed Tanaka-Matsumi, J., & Kameoka, V. A. (1986). Reliabilities and concurrent validities of popular self-report measures of depression, anxiety, and social desirability. Journal of Consulting and Clinical Psychology, 54(3), 328–333. doi:10.​1037/​0022-006x.​54.​3.​328.CrossRefPubMed
Metagegevens
Titel
Psychometric Properties of the Anticipatory Social Behaviours Questionnaire
Auteurs
Adam C. Mills
DeMond M. Grant
William V. Lechner
Matt R. Judah
Publicatiedatum
01-09-2013
Uitgeverij
Springer US
Gepubliceerd in
Journal of Psychopathology and Behavioral Assessment / Uitgave 3/2013
Print ISSN: 0882-2689
Elektronisch ISSN: 1573-3505
DOI
https://doi.org/10.1007/s10862-013-9339-4

Andere artikelen Uitgave 3/2013

Journal of Psychopathology and Behavioral Assessment 3/2013 Naar de uitgave