Abstract
The present investigation evaluated the factor structure of the Distress Tolerance Scale (DTS; Simons and Gaher 2005) among a sample of 173 (54.9% males) daily cigarette smokers (M = 16.64 cigarettes per day, SD = 7.83). Comparison of a single higher-order model and a hierarchical multidimensional model was conducted using confirmatory factor analyses (CFA). In addition, evaluation of the internal consistency and convergent and discriminant validity of the better-fitting model was completed. CFA of the DTS indicated a single second-order factor of distress tolerance, and four lower-order factors including Tolerance, Appraisal, Absorption, and Regulation; each factor demonstrated acceptable levels of internal consistency. In addition, the DTS displayed good convergent and discriminant validity with theoretically relevant smoking and affect variables. Results are discussed in terms of explicating the latent structure of distress tolerance, as measured by the DTS, within the context of smoking research.
Similar content being viewed by others
Notes
Suggested cutoff values for fit indices have varied throughout the years in the interpretation of structural equation model fit. Many fit indices have shown sensitivity to aspects of data including sample size and model parsimony (Hooper et al. 2008). In addition, interpretation of model fit is sometimes hindered by stringent criteria cutoff values (Hooper et al. 2008). To aid in the interpretation of the currently proposed goodness-of-fit was evaluated using both conservative (Brown 2006; Hooper et al. 2008; Hu and Bentler 1999; Kline 2005) and liberal (Anderson and Gerbing 1984; Bentler 1992; Hu and Bentler 1999; MacCallum et al. 1996; Marsh et al. 1988; Wheaton et al. 1977) index cutoffs to better facilitate interpretation of model fit in the event values fall outside the conservative range. Goodness-of-fit was specifically evaluated using the following indices: χ2 (p > .05) (Hu and Bentler 1999), Normed χ2 (NC; Wheaton et al. 1977) of 2.0 (Tabachnick and Fidell 2007) to 5.0 (Wheaton et al. 1977), Goodness-of-Fit Index (GFI; Jöreskog and Sörbom 1981) > .95 (Miles and Shevlin 1998) to .85 (Anderson and Gerbing 1984), Adjusted Goodness-of-Fit Index > .95 (Miles and Shevlin 1998) to .8 (Marsh et al. 1988) (AGFI; Jöreskog and Sörbom 1981); Standardized Root Mean Square Residual (Hu and Bentler 1995) < .05 (Byrne 1998) to .1 (Marsh et al. 1988), Root Mean Square Error of Approximation (RMSEA; Steiger 1990) < .06 (Hu and Bentler 1999) to .08 (MaCallum et al. 1996), the Comparative Fit Index (CFI; Bentler 1990) > .95 (Hu and Bentler 1999) to 90 (Bentler 1992), and the Tucker-Lewis Index (TLI; Bentler and Bonett 1980) > .95 (Hu and Bentler 1999) to .90 (Bentler and Bonett 1980).
References
Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49, 155–73. doi:10.1007/BF02294170.
Babor, T. F., de la Fuente, J. R., Saunders, J., & Grant, M. (1992). AUDIT- Alcohol Use Disorders Identification test: Guidelines for use in primary health care. Geneva: World Health Organization.
Baker, T. B., Piper, M. E., McCarthy, D. E., Majeskie, M. R., & Fiore, M. C. (2004). Addiction motivation reformulated: an affective processing model of negative reinforcement. Psychological Review, 111, 33–51. doi:10.1037/0033-295X.111.1.33.
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238.
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88, 588–606. doi:10.1037/0033-2909.88.3.588.
Bentler, P. M. (1992). EQS structural equations program manual, Los Angelas, CA. BMDP Statistical Software.
Bernstein, A., Vujanovic, A. A., Leyro, T. M., & Zvolensky, M. J. (2010). Distress tolerance: Research synthesis and future directions. In A. Bernstein, M. J. Zvolensky, & A. A. Vujanovic (Eds.), Distress tolerance. New York: Guilford.
Bollen, K. A. (1989). Structural equations with latent variables. New York: Wiley.
Brandon, T. H., & Baker, T. B. (1991). The smoking consequences questionnaire: the subjective expected utility of smoking in college students. Psychological Assessment, 3, 484–491. doi:10.1037/1040-3590.3.3.484.
Brandon, T. H., Herzog, T. A., Juliano, L. M., Irvin, J. E., Lazev, A. B., & Simmons, V. N. (2003). Pretreatment task persistence predicts smoking cessation outcome. Journal of Abnormal Psychology, 112, 448–456. doi:10.1037/0021-843X.112.3.448.
Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: Guilford.
Brown, R., Lejuez, C., Kahler, C., & Strong, D. (2002). Distress tolerance and duration of past smoking cessation attempts. Journal of Abnormal Psychology, 111, 180–185. doi:10.1037/0021-843X.111.1.180.
Brown, R. A., Lejuez, C. W., Kahler, C. W., Strong, D. R., & Zvolensky, M. J. (2005). Distress tolerance and early smoking lapse (theory and clinical implications). Clinical Psychology Review, 25, 713–733. doi:10.1016/j.cpr.2005.05.003.
Brown, R. A., Palm, K. M., Strong, D. R., Lejuez, C. W., Kahler, C. W., Zvolensky, M. J., et al. (2008). Distress tolerance treatment for early-lapse smokers: rationale, program description, and preliminary findings. Behavior Modification, 32, 302–332. doi:10.1177/0145445507309024.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Beverly Hills: Sage.
Buckley, T. C., Kamholz, B. W., Mozley, S. L., Gulliver, S. B., Holohan, D. R., Helstrom, A. W., et al. (2005). A psychometric evaluation of the Smoking Consequences Questionnaire-Adult in smokers with psychiatric conditions. Nicotine & Tobacco Research, 7, 739–745. doi:10.1080/14622200500259788.
Byrne, B. M. (1998). Structural equation modelling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications and programming. Mahwah: Erlbaum.
Cocores, J. (1993). Nicotine dependence: diagnosis and treatment. The Psychiatric Clinics of North America, 16, 49–60. PMid:8456047.
Downey, K. K., & Kilbey, M. M. (1995). Relationship between nicotine and alcohol expectancies and substance dependence. Experimental and Clinical Psychopharmacology, 3, 174–182. doi:10.1037/1064-1297.3.2.174.
Fagerstrom, K. O. (1978). Measuring degree of physical dependence to tobacco smoking with reference to individualization of treatment. Addictive Behaviors, 3, 235–241. doi:10.1016/0306-4603(78)90024-2.
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (1994). Structured clinical interview for DSM-IV patient edition (SCID-N/P, Version 2.0). New York: Biometrics Research Department.
Hajek, P. (1991). Individual differences in difficulty quitting smoking. British Journal of Addiction, 86, 555–558. doi:10.1111/j.1360-0443.1991.tb01807.x.
Hajek, P., Belcher, M., & Stapleton, J. (1987). Breath-holding endurance as a predictor of success in smoking cessation. Addictive Behaviors, 12, 285–288. doi:10.1016/0306-4603(87)90041-4.
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerstrom, K. O. (1991). The Fagerstrom test for nicotine dependence: a revision of the Fagerstrom Tolerance Questionnaire. British Journal of Addiction, 86, 1119–27. doi:10.1111/j.1360-0443.1991.tb01879.x.
Hooper, D., Coughlan, J., & Mullen, M. (2008). Structural equation modeling: guidelines for determining model fit. Electronic Journal of Business Research Methods, 6, 53–60. http://www.ejbrm.com/vol6/v6-i1/Hooperetal.pdf.
Hu, L.-T., & Bentler, P. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling. Concepts, issues, and applications (pp. 76–99). London: Sage.
Hu, L., & Bentler, P. (1999). Cutoff criteria for fit indices in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. doi:10.1080/10705519909540118.
Hutcheson, G., & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models. Thousand Oaks, CA: Sage Publications.
Jaccard, J., & Wan, C. K. (1996). LISREL approaches to interaction effects in multiple regression. Thousand Oaks: Sage.
Jöreskog, K. G., & Sörbom, D. (1981). Lisrel user’s guide. Version V. Chicago: International Educational Services.
Jöreskog, K. G., & Sörbom, D. (2006). LISREL 8.80 for Windows [Computer Software]. Lincolnwood, IL: Scientific Software International, Inc.
Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford.
Leyro, T. M., Zvolensky, M. J., Vujanovic, A. A., & Bernstein, A. (2008). Anxiety sensitivity and smoking motives and outcome expectancies among adult daily smokers: replication and extension. Nicotine & Tobacco Research, 10, 985–994. doi:10.1080/14622200802097555.
Leyro, T. M., Zvolensky, M. J., & Bernstein, A. (2010). Distress tolerance and psychopathological symptoms and disorders: A review of the empirical literature among adults. Psychological Bulletin.
MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–49. doi:10.1037/1082-989X.1.2.130.
Marsh, H. W., Balla, J. R., & McDonald, R. P. (1988). Goodness of fit indexes in confirmatory factor analysis: the effect of sample size. Psychological Bulletin, 103, 391–410. doi:10.1037/0033-2909.103.3.391.
McIntosh, C. (2006). Rethinking fit assessment in structural equation modelling: a commentary and elaboration on Barrett (2007). Personality and Individual Differences, 42, 859–67. doi:10.1016/j.paid.2006.09.020.
Miles, J., & Shevlin, M. (1998). Effects of sample size, model specification and factor loadings on the GFI in confirmatory factor analysis. Personality and Individual Differences, 25, 85–90. doi:10.1016/S0191-8869(98)00055-5.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.
Parrott, A. C. (1999). Does cigarette smoking cause stress? The American Psychologist, 54, 817–820. doi:10.1037/0003-066X.54.10.817.
Payne, T. J., Smith, P. O., McCracken, L. M., McSherry, W. C., & Antony, M. M. (1994). Assessing nicotine dependence: a comparison of the Fagerstrom Tolerance Questionnaire (FTQ) with the Fagerstrom Test for Nicotine Dependence (FTND) in a clinical sample. Addictive Behaviors, 19, 307–317. doi:10.1016/0306-4603(94)90032-9.
Pomerleau, C. S., Carton, S. M., Lutzke, M. L., Flessland, K. A., & Pomerleau, O. F. (1994). Reliability of the Fagerstrom Tolerance Questionnaire and the Fagerstrom Test for Nicotine Dependence. Addictive Behaviors, 19, 33–39. doi:10.1016/0306-4603(94)90049-3.
Richards, J. M., Daughters, S. B., Bornovalova, M. A., Brown, R. A., & Lejuez, C. W. (2010). Substance use disorders. In M. Zvolensky, A. Bernstien, & A. Vujanovic (Eds.), Distress tolerance. New York: Guilford.
Saunders, J. B., Aasland, O. G., Babor, T. F., De La Fuente, J. R., & Grant, M. (1993). Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption: II. Addiction, 88, 791–804. doi:10.1111/j.1360-0443.1993.tb02093.x.
Simons, J., & Gaher, R. (2005). The Distress Tolerance Scale: development and validation of a self-report measure. Motivation and Emotion, 29, 83–102. doi:10.1007/s11031-005-7955-3.
State of Vermont Department of Health. (2007). 2007 Vermont population estimates. Retrieved December 17, 2009, from http://healthvermont.gov/research/2007pop/documents/RACENOTE07.PDF.
Steiger, J. H. (1990). Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research, 25, 173-180.
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics (5th ed.). New York: Allyn and Bacon.
Watson, D. (2000). Mood and temperament. New York: Guilford.
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: the PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070. doi:10.1037/0022-3514.54.6.1063.
West, R. J., Hajek, P., & Belcher, M. (1989). Severity of withdrawal symptoms as a predictor of outcome of an attempt to quit smoking. Psychological Medicine, 19, 981–985. doi:10.1017/S0033291700005705.
Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. F. (1977). Assessing Reliability and Stability in Panel Models. In D. R. Heise (Ed.), Sociological methodology (pp. 84–136). San Francisco: Jossey-Bass.
Zvolensky, M. J., Schmidt, N. B., & Stewart, S. H. (2003). Panic disorder and smoking. Clinical Psychology: Science and Practice, 10, 29–51. doi:10.1093/clipsy/10.1.29.
Zvolensky, M. J., Lejuez, C. W., Kahler, C. W., & Brown, R. A. (2004). Nonclinical panic attack history and smoking cessation: an initial examination. Addictive Behaviors, 29, 825–830. doi:10.1016/j.addbeh.2004.02.017.
Zvolensky, M. J., Bernstein, A., & Vujanovic, A. A. (Eds.). (2010). Distress tolerance. New York: Guilford.
Author information
Authors and Affiliations
Corresponding author
Additional information
The current investigation represents novel information and has not been previously presented. The authors declare that they have no competing interests for this research project.
Rights and permissions
About this article
Cite this article
Leyro, T.M., Bernstein, A., Vujanovic, A.A. et al. Distress Tolerance Scale: A Confirmatory Factor Analysis Among Daily Cigarette Smokers. J Psychopathol Behav Assess 33, 47–57 (2011). https://doi.org/10.1007/s10862-010-9197-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10862-010-9197-2