Psychometric Properties and Factor Structure of the French Version of the Behavioral Activation for Depression Scale (BADS) in Non-Clinical Adults

Krings, Audrey; Bortolon, Catherine; Yazbek, Hanan; Blairy, Sylvie

doi:10.5334/pb.542

Article (Scientific journals)

Psychometric Properties and Factor Structure of the French Version of the Behavioral Activation for Depression Scale (BADS) in Non-Clinical Adults

Krings, Audrey; Bortolon, Catherine; Yazbek, Hanan et al.

2020 • In Psychologica Belgica

Peer Reviewed verified by ORBi

Permalink
https://hdl.handle.net/2268/254943

DOI
10.5334/pb.542

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Krings et al., 2020 BADS.pdf

Author postprint (1.23 MB)

Download

All documents in ORBi are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

Behavioral activation; psychometric properties; depression

Abstract :

[en] Behavioral activation (BA) is a well-established empirical treatment for depression that aims to improve depressive mood by increasing activation and reducing avoidance. Therefore, it is essential to evaluate activation and avoidance when a BA treatment is applied. The Behavioral Activation for Depression Scale (BADS) was developed to measure the changes in activation and avoidance over the course of BA treatment of depression. This study aims to validate the French version of this scale. In a first study, 131 bilingual adults was recruited to explored internal consistency, test-retest reliability and construct validity of the final French version. In a second study, 409 non-clinical adults completed an online survey assessing concurrent measures. Results of the first study suggest good internal consistency, test-retest reliability and construct validity. The second study revealed a confirmatory factor analysis supporting the original four-factor structure, with Activation, Avoidance/Rumination, Work/School Impairment, and Social Impairment subscales. Results also revealed that a 5-factor model distinguishing Behavioral Avoidance and Rumination had a better fit than the original four-factor structure. All subscales showed adequate internal consistency and good construct validity with evidence of convergent validity with depressive symptoms, brooding, psychological flexibility, negative automatic thought, behavioral inhibition and activation system. Furthermore, the French BADS total scale and subscales showed a good ability to predict depressive symptoms. The French version of the BADS appears to be a reliable tool for clinician and researchers to assess mechanisms of change in BA interventions.

Disciplines :

Theoretical & cognitive psychology

Author, co-author :

Krings, Audrey ; Université de Liège - ULiège > Département de Psychologie > Psychologie clinique cognitive et comportementale

Bortolon, Catherine; Université Grenoble Alpes

Yazbek, Hanan; Hôpital La Colombière – Centre Hospitalier Universitaire de Montpellier

Blairy, Sylvie ; Université de Liège - ULiège > Département de Psychologie > Psychologie clinique cognitive et comportementale

Language :

English

Title :

Psychometric Properties and Factor Structure of the French Version of the Behavioral Activation for Depression Scale (BADS) in Non-Clinical Adults

Publication date :

2020

Journal title :

Psychologica Belgica

ISSN :

0033-2879

eISSN :

2054-670X

Publisher :

Société Blege de Psychologie, Gand, Belgium

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 11 January 2021

Statistics

Number of views

207 (18 by ULiège)

Number of downloads

107 (13 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

OpenCitations

OpenAlex citations

Bibliography

Baeyens, C., Douilliez, C., & Philippot, P. (n.d.). Measure of the brooding and reflection dimension in the Ruminative Response Scale: A French validation.
Beck, A. T., Steer, R. A., & Brown, G. (1996). Beck Depression Inventory Second Edition Manual. San Antonio: The Psychological Corporation. DOI: https://doi.org/10.1037/t00742-000
Béland, S., Cousineau, D., & Loye, N. (2018). Utiliser le coefficient omega de McDonald à la place de l'alpha de Cronbach. McGill Journal of Education, 52(3), 791-804. DOI: https://doi.org/10.7202/1050915ar
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. DOI: https://doi.org/10.1037/0033-2909.107.2.238
Bond, F. W., Hayes, S. C., Baer, R. A., Carpenter, K. M., Guenole, N., Orcutt, H. K., & Zettle, R. D. (2011). Preliminary psychometric properties of the Acceptance and Action Questionnaire-II: A revised measure of psychological inflexibility and experiential avoidance. Behavior Therapy, 42(4), 676-688. DOI: https://doi.org/10.1016/j. beth.2011.03.007
Bouvard, M., Charles, S., Mollard, E., Guerin, J., Aimard, G., & Cottraux, J. (1992). Etude de validation et analyse factorielle de la version française du questionnaire des pensées automatiques. Journal de Thérapie Comportementale et Cognitive, 2(2), 25-28.
Buchanan, T., Ali, T., Heffernan, T. M., Ling, J., Parrott, A. C., Rodgers, J., & Scholey, A. B. (2005). Nonequivalence of on-line and paper-and-pencil psychological tests: The case of the prospective memory questionnaire. Behavior Research Methods, 37(1), 148-154. DOI: https://doi.org/10.3758/BF03206409
Caci, H., Deschaux, O., & Baylé, F. J. (2007). Psychometric properties of the french versions of the BIS/BAS scales and the SPSRQ. Personality and Individual Differences, 42(6), 987-998. DOI: https://doi.org/10.1016/j.paid.2006.09.008
Cangur, S., & Ercan, I. (2015). Comparison of model fit indices used in structural equation modeling under multivariate normality. Journal of Modern Applied Statistical Methods, 14(1), 152-167. DOI: https://doi.org/10.22237/jmasm/1430453580
Carvalho, J. P., & Hopko, D. R. (2011). Behavioral theory of depression: Reinforcement as a mediating variable between avoidance and depression. Journal of Behavior Therapy and Experimental Psychiatry, 42(2), 154-162. DOI: https://doi. org/10.1016/j.jbtep.2010.10.001
Carver, C. S., & White, T. L. (1994). Behavioral inhibition, behavioral activation, and affective responses to impending reward and punishment: The BIS/BAS scales. Journal of Personality and Social Psychology, 67(2), 319-333. DOI: https://doi.org/10.1037/0022-3514.67.2.319
Centre de Psychologie appliquée. (1996). Manuel du BDI-II. Paris: Editions du centre de psychologie appliquée.
Chen, J., Liu, X., Rapee, R. M., & Pillay, P. (2013). Behavioural activation: A pilot trial of transdiagnostic treatment for excessive worry. Behaviour Research and Therapy, 51(9), 533-539. DOI: https://doi.org/10.1016/j.brat.2013.05.010
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. 2nd ed. (H. Erlbaum, Ed.).
Collado, A., Castillo, S. D., Maero, F., Lejuez, C. W., & MacPherson, L. (2014). Pilot of the brief behavioral activation treatment for depression in latinos with limited english proficiency: Preliminary evaluation of efficacy and acceptability. Behavior Therapy, 45(1), 102-115. DOI: https://doi.org/10.1016/j.beth.2013.10.001
Cuijpers, P., van Straten, A., & Warmerdam, L. (2007). Behavioral activation treatments of depression: A meta-analysis. Clinical Psychology Review, 27(3), 318-326. DOI: https://doi.org/10.1016/j.cpr.2006.11.001
Dunn, T. J., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399-412. DOI: https://doi.org/10.1111/bjop.12046
Fuhr, K., Hautzinger, M., Krisch, K., Berking, M., & Ebert, D. D. (2016). Validation of the Behavioral Activation for Depression Scale (BADS) - Psychometric properties of the long and short form. Comprehensive Psychiatry, 66, 209-218. DOI: https://doi.org/10.1016/j. comppsych.2016.02.004
Gerbing, D. W., & Anderson, J. C. (1992). Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models. Sociological Methods & Research. DOI: https://doi.org/10.1177/0049124192021002002
Giorgio, J. M., Sanflippo, J., Kleiman, E., Reilly, D., Bender, R. E., Wagner, C. A., & Alloy, L. B. (2010). An experiential avoidance conceptualization of depressive rumination: Three tests of the model. Behaviour Research and Therapy, 48(10), 1021-1031. DOI: https://doi.org/10.1016/j. brat.2010.07.004
Haccoun, R. R. (1987). Une nouvelle technique de verification de l'equivalence de mesures psychologiques traduites. Revue Quebecoise de Psychologie, 8, 30-38.
Hayes, S. C., Villatte, M., Levin, M., & Hildebrandt, M. (2011). Open, aware, and active: Contextual approaches as an emerging trend in the behavioral and cognitive therapies. Annual Review of Clinical Psychology, 7, 141-168. DOI: https://doi.org/10.1146/annurev-clinpsy-032210-104449
Hollon, S. D., & Kendall, P. C. (1980). Cognitive self-statements in depression: Development of an automatic thoughts questionnaire. Cognitive Therapy and Research, 4(4), 383- 395. DOI: https://doi.org/10.1007/BF01178214
Hopko, D. R., Lejuez, C. W., Ruggiero, K. J., & Eifert, G. H. (2003). Contemporary behavioral activation treatments for depression: Procedures, principles, and progress. Clinical Psychology Review, 23(5), 699-717. DOI: https://doi. org/10.1016/S0272-7358(03)00070-9
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. DOI: https://doi.org/10.1080/10705519909540118
Jackson, D. L. (2003). Structural Equation Modeling: A Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models. A, 5511(February 2014), 37-41. DOI: https://doi.org/10.1207/S15328007SEM1001
Jorm, A. F., Christensen, H., Henderson, A. S., Jacomb, P. A., Körten, A. E., & Rodgers, B. (1999). Using the BIS/BAS scales to measure behavioural inhibition and behavioural activation: Factor structure, validity and norms in a large community sample. Personality and Individual Differences, 26, 49-58. DOI: https://doi.org/10.1016/S0191- 8869(98)00143-3
Kanter, J. W., Rusch, L. C., Busch, A. M., & Sedivy, S. K. (2008). Validation of the behavioral activation for depression scale (BADS) in a community sample with elevated depressive symptoms. Journal of Psychopathology and Behavioral Assessment, 31(1), 36-42. DOI: https://doi.org/10.1007/s10862-008-9088-y
Kanter, J. W., Mulick, P. S., Busch, A. M., Berlin, K. S., & Martell, C. R. (2007). The Behavioral Activation for Depression Scale (BADS): Psychometric Properties and Factor Structure. Journal of Psychopathology and Behavioral Assessment, 29(3), 191-202. DOI: https://doi.org/10.1007/s10862-006-9038-5
Kelley, K. (2018). MBESS: The MBESS R Package. R package version 4.4.3. https://CRAN.R-project.org/package=MBESS.
Kelley, K., & Pornprasertmanit, S. (2016). Confidence intervals for population reliability coefficients: Evaluation of methods, recommendations, and software for composite measures. Psychological Methods, 21(1), 69-92. DOI: https://doi. org/10.1037/a0040086
Kessler, R. C., & Bromet, E. J. (2013). The epidemiology of depression across cultures. Annual Review of Public Health, 34, 119-138. DOI: https://doi.org/10.1146/annurev-publhealth-031912-114409
Lakens, D. (2017). Equivalence Tests. Social Psychological and Personality Science, 8(4), 355-362. DOI: https://doi. org/10.1177/1948550617697177
Lejuez, C. W., Hopko, D. R., LePage, J. P., Hopko, S. D., & McNeil, D. W. (2001). A brief behavioral activation treatment for depression. Cognitive and Behavioral Practice, 8(2), 164-175. DOI: https://doi.org/10.1016/S1077-7229(01)80022-5
Lewinsohn, P. M. (1974). A behavioural approach to depression. In R. Friedman & M. Katz (Eds.), The Psychology of Depression: Contemporary Theory and Research, (pp. 157- 185). NY: Wiley.
Lewinsohn, P. M., & Graf, M. (1973). Pleasant activities and depression. Journal of Consulting and Clinical Psychology, 41(2), 261-268. DOI: https://doi.org/10.1037/h0035142
Manos, R. C., Kanter, J. W., & Luo, W. (2011). The Behavioral Activation for Depression Scale-Short Form: Development and Validation. Behavior Therapy, 42(4), 726-739. DOI: https://doi.org/10.1016/j.beth.2011.04.004
Manos, R. C., Kanter, J. W., & Busch, A. M. (2010). A critical review of assessment strategies to measure the behavioral activation model of depression. Clinical Psychology Review, 30, 547-561. DOI: https://doi.org/10.1016/j.cpr.2010.03.008
Martell, C. R., Addis, M. E., & Jacobson, N. S. (2001). Depression in Context: Strategies for Guided Action (New York: Norton). Behavioural and Cognitive Psychotherapy. DOI: https://doi.org/10.1017/S1352465803272118
McLaughlin, K. A., Borkovec, T. D., & Sibrava, N. J. (2007). The Effects of Worry and Rumination on Affect States and Cognitive Activity. Behavior Therapy, 38(1), 23-38. DOI: https://doi.org/10.1016/j.beth.2006.03.003
Monestès, J. L., Villatte, M., Mouras, H., Loas, G., & Bond, F. W. (2009). Traduction et validation française du questionnaire d'acceptation et d'action (AAQ-II). Revue Europeenne de Psychologie Appliquee, 59(4), 301-308. DOI: https://doi. org/10.1016/j.erap.2009.09.001
Moulds, M. L., Kandris, E., Starr, S., & Wong, A. C. M. (2007). The relationship between rumination, avoidance and depression in a non-clinical sample. Behaviour Research and Therapy, 45(2), 251-261. DOI: https://doi.org/10.1016/j. brat.2006.03.003
Nolen-hoeksema, S., Wisco, B. E., & Lyubomirsky, S. (2008). Rethinking Rumination. Perspectives on Psychological Science, 3(5), 400-424. DOI: https://doi.org/10.1111/j.1745- 6924.2008.00088.x
Nunnally, J. C., & Bernstein, I. H. (1999). Psychometric theory (3rd Ed.). Journal of Psychoeducational Assessment. New York: McGraw-Hill. DOI: https://doi. org/10.1037/018882
Raes, F., Hoes, D., Van Gucht, D., Kanter, J. W., & Hermans, D. (2010). The Dutch version of the behavioral activation for depression scale (BADS): Psychometric properties and factor structure. Journal of Behavior Therapy and Experimental Psychiatry, 41, 246-250. DOI: https://doi.org/10.1016/j. jbtep.2010.02.001
Renner, F., Ji, J. L., Pictet, A., Holmes, E. A., & Blackwell, S. E. (2017). Effects of engaging in repeated mental imagery of future positive events on behavioural activation in individuals with major depressive disorder. Cognitive Therapy and Research, 41, 369-380. DOI: https://doi.org/10.1007/s10608-016-9776-y
Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2). DOI: https://doi.org/10.18637/jss.v048.i02
Schermelleh-Engel, K., Moosbrugger, H., & Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), 23-74.
Socan, G. (2000). Assessment of Reliability when Test Items are not Essentially τ -Equivalent. Developments in Survey Methodology, 15, 23-35.
Sousa, V. D., & Rojjanasrirat, W. (2011). Translation, adaptation and validation of instruments or scales for use in cross-cultural health care research: A clear and user-friendly guideline. Journal of Evaluation in Clinical Practice, 17(2), 268-274. DOI: https://doi.org/10.1111/j.1365- 2753.2010.01434.x
Team, J. (2020). JASP (Version 0.13.1) [Computer software].
Teismann, T., Ertle, A., Furka, N., Willutzki, U., & Hoyer, J. (2016). The German version of the behavioral activation for depression scale (BADS): Psychometric and clinical investigation. Clinical Psychology & Psychotherapy, 23, 217- 225. DOI: https://doi.org/10.1002/cpp.1948
TIBCO Software Inc. (2017). Statistica, version 13. Software, TIBCO.
Touzani, M., & Salaani, T. (2000). Le processus de validation des échelles de mesure: Fiabilité et validité. In Séminaire de Méthologie de recherche du LIGUE. Tunis.
Treynor, W., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27(3), 247-259. DOI: https://doi. org/10.1023/A:1023910315561
Vallerand, R. J. (1989). Vers une méthodologie de validation trans-culturelle de questionnaires psychologiques: Implications pour la recherche en langue française. Canadian Psychology, 30(4), 662-680. DOI: https://doi. org/10.1037/h0079856
Vallerand, R. J., & Halliwell, W. R. (1983). Vers une methodologie de validation trans-culturelle de questionnaires psychologiques: Implications pour la psychologie du sport. Canadian Journal of Applied Sport Sciences, 9-18.
Wagener, A., Baeyens, C., & Blairy, S. (2016). Depressive symptomatology and the influence of the behavioral avoidance and activation: A gender-specific investigation. Journal of Affective Disorders, 193, 123-129. DOI: https://doi. org/10.1016/j.jad.2015.12.040
Wagener, A., Van Der Linden, M., & Blairy, S. (2015). Psychometric properties of the French translation of the Behavioral Activation for Depression Scale-Short Form (BADS-SF) in non-clinical adults. Comprehensive Psychiatry, 56, 252-257. DOI: https://doi.org/10.1016/j. comppsych.2014.10.008
Wallis, J. D., & Rushworth, M. F. S. (2013). Integrating Benefits and Costs in Decision Making. In Neuroeconomics: Decision Making and the Brain. Second Edition. DOI: https://doi. org/10.1016/B978-0-12-416008-8.00022-X
Wardenaar, K. J., Wanders, R. B. K., Jeronimus, B. F., & de Jonge, P. (2018). The psychometric properties of an internet-administered version of the Depression Anxiety and Stress Scales (DASS) in a sample of dutch adults. Journal of Psychopathology and Behavioral Assessment, 40(2), 318-333. DOI: https://doi.org/10.1007/s10862-017- 9626-6
Williams, M. N., Grajales, C. A. G., & Kurkiewicz, D. (2013). Assumptions of multiple regression: Correcting two misconceptions. Practical Assessment, Research and Evaluation, 18(9), 1-14.
Zlomke, K. R. (2009). Psychometric properties of internet administered versions of Penn State Worry Questionnaire (PSWQ) and Depression, Anxiety, and Stress Scale (DASS). Computers in Human Behavior, 25(4), 841-843. DOI: https://doi.org/10.1016/j.chb.2008.06.003