Assessing Safety Behaviors in Fear of Storms: Validation of the Storm-Related Safety Behavior Scale

  • Kirstyn L. Krause
  • Emma M. MacDonald
  • Alasdair M. Goodwill
  • Valerie Vorstenbosch
  • Martin M. Antony
Article
  • 26 Downloads

Abstract

With the exception of one self-report questionnaire assessing storm fear severity (Nelson et al. Journal of Psychopathology and Behavioral Assessment, 36(1), 105–114, 2014), there are few brief published assessment tools to measure the cognitive, behavioral, and physical manifestations of storm fear. A principal feature of phobic disorders is the use of safety behaviors to alleviate distress. Safety behaviors are believed to perpetuate anxiety by preventing the disconfirmation of feared outcomes (Salkovskis Behavioural Psychotherapy, 19(1), 6–19, 1991). To date, no studies have examined the use of safety behaviors in storm fear. The purpose of the current research was to develop and validate the Storm-Related Safety Behavior Scale (SRSBS; Vorstenbosch and Antony 2017), a 24-item self-report scale that measures safety behavior use in adults with a fear of storms. Two studies examined the (1) factor structure, internal consistency, validity, and test-retest reliability of the SRSBS, as well as the frequency with which specific safety behaviors were endorsed; and (2) ability of the SRSBS to differentiate between a group of adults with low and high fear of storms after exposure to a virtual thunderstorm. Factor analysis revealed that the SRSBS is best captured by one factor. Results provided preliminary evidence of convergent and discriminant validity, as well as test-retest reliability. Finally, significant group differences were found between participants with high versus low fear of storms following a virtual thunderstorm. These findings demonstrate the value of the SRSBS for assessing safety behavior use.

Keywords

Phobia Storm Fear Safety behavior Measurement Factor analysis Virtual reality 

Notes

Acknowledgements

Thank you to Kesla Forsythe for assistance with data collection.

Compliance with Ethical Standards

Conflict of Interest

Kirstyn L. Krause, Emma M. MacDonald, Alasdair Goodwill, Valerie Vorstenbosch and Martin M. Antony declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards and were approved by the University’s Research Ethics Board.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

References

  1. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington: American Psychiatric Press.CrossRefGoogle Scholar
  2. Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the depression anxiety stress scales in clinical groups and a community sample. Psychological Assessment, 10(2), 176–181.CrossRefGoogle Scholar
  3. Blakey, S. M., & Abramowitz, J. S. (2016). The effects of safety behaviors during exposure therapy for anxiety: Critical analysis from an inhibitory learning perspective. Clinical Psychology Review, 49(1), 1–15.CrossRefPubMedGoogle Scholar
  4. Botella, C., Baños, R. M., Guerrero, B., García-Palacios, A., Quero, S., & Alcañíz, M. (2006). Using a flexible virtual environment for treating a storm phobia. PsychNology Journal, 4(2), 129–144.Google Scholar
  5. Buhrmester, M., Kwang, T., & Gosling, S. D. (2011). Amazon’s mechanical Turk: A new source of inexpensive, yet high-quality data? Perspectives on Psychological Science, 6(1), 3–5.CrossRefPubMedGoogle Scholar
  6. Cattell, R. B. (1966). The scree test for the number of factors. Multivariate Behavioral Research, 1(2), 245–276.CrossRefPubMedGoogle Scholar
  7. Clara, I. P., Cox, B. J., & Enns, M. W. (2001). Confirmatory factor analysis of the depression-anxiety-stress scales in depressed and anxious patients. Journal of Psychopathology and Behavioral Assessment, 23(1), 61–67.CrossRefGoogle Scholar
  8. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2. Auflage). Hillsdale: Lawrence Erlbaum Associates.Google Scholar
  9. Craske, M. G., Kircanski, K., Zelikowsky, M., Mystkowski, J., Chowdhury, N., & Baker, A. (2008). Optimizing inhibitory learning during exposure therapy. Behaviour Research and Therapy, 46(1), 5–27.CrossRefPubMedGoogle Scholar
  10. Crump, M. J. C., McDonnell, J. V., & Gureckis, T. M. (2013). Evaluating Amazon’s mechanical Turk as a tool for experimental behavioral research. PloS One, 8(3), 1–18.CrossRefGoogle Scholar
  11. Cuming, S., Rapee, R. M., Kemp, N., Abott, M. J., Peters, L., & Gaston, J. E. (2009). A self-report measure of subtle avoidance and safety behaviors relevant to social anxiety: Development and psychometric properties. Journal of Anxiety Disorders, 23(7), 879–883.CrossRefPubMedGoogle Scholar
  12. El-Masri, M. M., & Fox-Wasylyshyn, S. M. (2005). Missing data: An introductory conceptual overview for the novice researcher. Canadian Journal of Nursing Research, 37(4), 156–171.PubMedGoogle Scholar
  13. Field, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). London: SAGE Publications.Google Scholar
  14. First, M. B., Williams, J. B. W., Karg, R. S., & Spitzer, R. L. (2015). Structured clinical interview for DSM-5, research version 1.0.0 (SCID-5-RV). Arlington: American Psychiatric Association.Google Scholar
  15. Goodman, J. K., Cryer, C. E., & Cheema, A. (2012). Data collection in a flat world: The strengths and weaknesses of mechanical Turk samples. Journal of Behavioral Decision Making, 26(3), 213–224.CrossRefGoogle Scholar
  16. Horton, J. J., & Chilton, L. B. (2010). The labor economics of paid crowdsourcing. (2010). Proceedings of the 11th ACM conference on Electronic commerce. 978-1-60558-822-3. doi:10.1145/1807342.1807376.
  17. Kline, P. (1999). The handbook of psychological testing (2nd ed.). London: Routledge.Google Scholar
  18. Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: Comparison of the depression anxiety stress scales (DASS) with the Beck depression and anxiety inventories. Behaviour Research and Therapy, 33(3), 335–343.CrossRefPubMedGoogle Scholar
  19. Matthey, S. (1988). Cognitive-behavioural treatment of a thunder-phobic child. Behaviour Change, 5(2), 80–84.CrossRefGoogle Scholar
  20. Meulders, A., Van Daele, T., Volders, S., & Vlaeyen, J. W. S. (2016). The use of safety-seeking behavior in exposure-based treatments for fear and anxiety: Benefit or burden? A meta-analytic review. Clinical Psychology Review, 45(1), 144–156.CrossRefPubMedGoogle Scholar
  21. Munson, M. S., Davis, T. E., Grills-Taquechel, A., & Zlomke, K. R. (2010). The effects of hurricane Katrina on females with a pre-existing fear of storms. Current Psychology, 29(4), 307–319.CrossRefGoogle Scholar
  22. Muris, P., & Merckelbach, H. (1996). A comparison of two spider fear questionnaires. Journal of Behavior Therapy and Experimental Psychiatry, 27(3), 241–244.CrossRefPubMedGoogle Scholar
  23. Nelson, A. L., & Antony, M. M. (2013). Storm fear questionnaire. Toronto: Ryerson University.Google Scholar
  24. Nelson, A. L., Vorstenbosch, V., & Antony, M. M. (2014). Assessing fear of storms and severe weather: Validation of the storm fear questionnaire (SFQ). Journal of Psychopathology and Behavioral Assessment, 36(1), 105–114.CrossRefGoogle Scholar
  25. Oppenheimer, D., Meyvis, T., & Davidenko, N. (2009). Instructional manipulation checks: Detecting satisficing to increase statistical power. Journal of Experimental Social Psychology, 45(4), 867–872.CrossRefGoogle Scholar
  26. Paolacci, G., Chandler, J., & Ipeirotis, P. G. (2010). Running experiments on mechanical Turk. Judgment and Decision making, 5(5), 411–419.Google Scholar
  27. Parent, M. C. (2013). Handling item-level missing data: Simpler is just as good. The Counseling Psychologist, 41(4), 568–600.CrossRefGoogle Scholar
  28. Pinto-Gouveia, J., Cunha, M. I., & do Céu Salvador, M. (2003). Assessment of social phobia by self-report questionnaires: The social interaction scale and the social phobia safety Behaviours scale. Behavioural and Cognitive Psychotherapy, 31(3), 291–311.CrossRefGoogle Scholar
  29. Salkovskis, P. M. (1991). The importance of behaviour in the maintenance of anxiety and panic: A cognitive account. Behavioural Psychotherapy, 19(1), 6–19.CrossRefGoogle Scholar
  30. Sinclair, S. J., Siefert, C. J., Slavin-Mulford, J., Stein, M. B., Renna, M., & Blais, M. A. (2012). Psychometric evaluation and normative data for the depression, anxiety, and stress scales-21 (DASS-21) in a nonclinical sample of U.S. adults. Evaluation & the Health Professions, 35(3), 259–279.CrossRefGoogle Scholar
  31. Stinson, F. S., Dawson, D. A., Chou, S. P., Smith, S., Goldstein, R. B., Ruan, W. J., & Grant, B. F. (2007). The epidemiology of DSM-IV specific phobia in the USA: Results from the National Epidemiologic Survey on alcohol and related conditions. Psychological Medicine, 37, 1046–1059.CrossRefGoogle Scholar
  32. Szymanski, J., & O'Donohue, W. (1995). Fear of spiders questionnaire. Journal of Behavior Therapy and Experimental Psychiatry, 26(1), 31–34.CrossRefPubMedGoogle Scholar
  33. Vorstenbosch, V., & Antony, M. M. (2017). Storm-related safety behavior scale. Toronto: Ryerson University.Google Scholar
  34. Wang, A. G. (2000). Storm phobia: A North Atlantic phenomenon. Nordic Journal of Psychiatry, 54(1), 67–68.CrossRefGoogle Scholar
  35. Westefeld, J. S. (1996). Severe weather phobia: An exploratory study. Journal of Clinical Psychology, 52(5), 509–515.CrossRefPubMedGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  • Kirstyn L. Krause
    • 1
  • Emma M. MacDonald
    • 2
  • Alasdair M. Goodwill
    • 1
  • Valerie Vorstenbosch
    • 3
  • Martin M. Antony
    • 1
  1. 1.Department of PsychologyRyerson UniversityTorontoCanada
  2. 2.Community Mental Health and AddictionsIWK Health CentreHalifaxCanada
  3. 3.Eating Disorders ProgramHomewood Health CentreGuelphCanada

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