Skip to main content
Log in

Not Just a Non-specific Factor: Moderators of the Effect of Within- and Between-Clients Alliance on Outcome in CBT

  • Original Article
  • Published:
Cognitive Therapy and Research Aims and scope Submit manuscript

Abstract

The working alliance is one of the most consistent predictors of outcome. Yet, little empirical knowledge exists on how therapists can use this association to maximize the outcome of cognitive behavioral therapy (CBT) for individual clients. The present study aimed to examine pre-treatment client interpersonal characteristics that determine what function the alliance should fulfill in order to maximize its effect on outcome. We did so by identifying moderators of the within- and between-clients effects on outcome. Data of 185 clients receiving CBT treatment was disaggregated to study the effects of the within- and between-clients alliance on outcome. Findings suggest that for clients who described themselves as overly cold and were described by their therapists as low on intrusiveness, state-like strengthening of alliance predicted better outcome, and that for clients not overly cold but overly exploitable, the general tendency of the client to report stronger alliance was associated with better outcome.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Severe major depression was diagnosed using the Structured Interview for DSM-IV-Axis I.

  2. Conditional inference trees estimate a regression relationship by binary recursive partitioning within a conditional inference framework. The algorithm operates as follows: (a) test the global null hypothesis of independence between any of the predictors and the outcome; stop if this hypothesis cannot be rejected, otherwise select the input variable with the strongest association with the outcome; this association is measured by a p value corresponding to a test for the partial null hypothesis of a single predictor and of the response; (b) implement a binary split in the selected predictor; (c) recursively repeat steps (a) and (b).

  3. Because the average correlation within the total score and the subscales was 0.37, the statistical methods used to search for moderators enabled us to introduce both the total and the subscale scores. Conceptually, the total score and the subscales represent distinct types of information regarding the client’s interpersonal tendencies and difficulties. The total score represents the client’s degree of interpersonal distress, whereas the subscales represent the nature of the client’s interpersonal problems, identifying the client’s specific area of interpersonal difficulty (Horowitz et al. 2000). We conducted a sensitivity analysis without the total score and obtained the same findings.

  4. In a post hoc analysis, we examined the ability of the interaction between overly cold and overly exploitable pre-treatment characteristics to directly affect treatment outcome (rather than affect the association between the trait-like component of alliance and outcome). The analysis revealed that the interaction between overly cold and overly exploitable characteristics failed to significantly predict outcome [F (1, 3017) = 0.5, p = .47].

References

  • Alden, L. E., Wiggins, S., & Pincus, A. L. (1990). Construction of circumplex scales for the inventory of interpersonal problems. Journal of Personality Assessment, 55, 521–536.

    Article  CAS  PubMed  Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.

    Book  Google Scholar 

  • Barber, J. P. (2009). Toward a working through of some core conflicts in psychotherapy research. Psychotherapy Research, 19(1), 1–12.

    Article  PubMed  Google Scholar 

  • Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of depression. New York, NY: Guilford Publications.

    Google Scholar 

  • Bergkvist, L., & Rossiter, J. R. (2007). The predictive validity of multiple-item versus single-item measures of the same constructs. Journal of Marketing Research, 44(2), 175–184.

    Article  Google Scholar 

  • Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods. New York, NY: Guilford.

    Google Scholar 

  • Bordin, E. S. (1979). The generalizability of the psychoanalytic concept of the working alliance. Psychotherapy: Theory, Research & Practice, 16(3), 252.

    Article  Google Scholar 

  • Bowlby, J. (1988). Attachment, communication, and the therapeutic process. In A secure base: Parent-child attachment and healthy human development (pp. 137–157). New York: Basic Books.

    Google Scholar 

  • Brady, J. P., Davison, G. C., Dewald, P. A., Egan, G., Fadiman, J., Frank, J. D., … Strupp, H. H. (1980). Some views on effective principles of psychotherapy. Cognitive Therapy and Research, 4, 271–306.

    Article  Google Scholar 

  • Braun, J. D., Strunk, D. R., Sasso, K. E., & Cooper, A. A. (2015). Therapist use of Socratic questioning predicts session-to-session symptom change in cognitive therapy for depression. Behaviour Research and Therapy, 70, 32–37. doi:10.1016/j.brat.2015.05.004.

    Article  PubMed  PubMed Central  Google Scholar 

  • Castonguay, L. G. (1996). Integrative cognitive therapy for depression treatment manual. Pennsylvania: The Pennsylvania State University.

    Google Scholar 

  • Castonguay, L. G., Constantino, M. J., McAleavey, A. A., & Goldfried, M. R. (2010). The therapeutic alliance in cognitive-behavioral therapy. In J. C. Muran & J. P. Barber (Eds.), The therapeutic alliance: An evidence-based guide to practice (pp. 150–171). New York, NY: Guilford Press.

    Google Scholar 

  • Castonguay, L. G., Schut, A. J., Aikens, D. E., Constantino, M. J., Laurenceau, J. P., Bologh, L., & Burns, D. D. (2004). Integrative cognitive therapy for depression: A preliminary investigation. Journal of Psychotherapy Integration, 14(1), 4.

    Article  Google Scholar 

  • Connors, G. J., Maisto, S. A., Schlauch, R. C., Dearing, R. L., Prince, M. A., & Duerr, M. R. (2016). Therapeutic alliances predict session by session drinking behavior in the treatment of alcohol use disorders. Journal of Consulting and Clinical Psychology, 84(11), 972–982.

    Article  PubMed  PubMed Central  Google Scholar 

  • Constantino, M. J., Marnell, M. E., Haile, A. J., Kanther-Sista, S. N., Wolman, K., Zappert, L., & Arnow, B. A. (2008). Integrative cognitive therapy for depression: A randomized pilot comparison. Psychotherapy: Theory, Research, Practice, Training, 45(2), 122–134.

    Article  Google Scholar 

  • Crits-Christoph, P., Gibbons, M. B. C., & Mukherjee, D. (2013). Psychotherapy process-outcome research. In M. J. Lambert (Ed.), Bergin and Garfield’s handbook of psychotherapy and behavior change (pp. 298–340). New York NY: Wiley.

    Google Scholar 

  • Cronin, T. J., Lawrence, K. A., Taylor, K., Norton, P. J., & Kazantzis, N. (2015). Integrating between-session interventions (homework) in therapy: The importance of the therapeutic relationship and cognitive case conceptualization. Journal of Clinical Psychology, 71(5), 439–450.

    Article  PubMed  Google Scholar 

  • Derogatis, L. R. (1983). Scl-90: Administration. Scoring and procedure manual-II for the revised version, Tawson, Clinical Psychometric Research.

  • DeRubeis, R. J., Brotman, M. A., & Gibbons, C. J. (2005). A conceptual and methodological analysis of the nonspecifics argument. Clinical Psychology: Science and Practice, 12(2), 174–183.

    Google Scholar 

  • DeRubeis, R. J., Cohen, Z. D., Forand, N. R., Fournier, J. C., Gelfand, L. A., & Lorenzo-Luaces, L. (2014). The personalized advantage index: translating research on prediction into individualized treatment recommendations. A demonstration. PLoS ONE, 9(1), e83875.

    Article  PubMed  PubMed Central  Google Scholar 

  • Falkenström, F., Ekeblad, A., & Holmqvist, R. (2016). Improvement of the working alliance in one treatment session predicts improvement of depressive symptoms by the next session. Journal of Consulting and Clinical Psychology, 84(8), 738.

    Article  PubMed  Google Scholar 

  • Falkenström, F., Granström, F., & Holmqvist, R. (2013). Therapeutic alliance predicts symptomatic improvement session by session. Journal of Counseling Psychology, 60(3), 317.

    Article  PubMed  Google Scholar 

  • First, M. B., Gibbon, M., Spitzer, R. L., Williams, J. B. W., & Benjamin, L. S. (1997). Structured clinical interview for DSM-IV axis II personality disorders, (SCID-II). Washington, D.C.: American Psychiatric Press.

    Google Scholar 

  • Gardner, D. G., Cummings, L. L., Dunham, R. B., & Pierce, J. L. (1998). Single-item versus multiple-item measurement scales: An empirical comparison. Educational and Psychological Measurement, 58(6), 898–915.

    Article  Google Scholar 

  • Goldfried, M. R. (1985). A paradigm shift in cognitive behavior therapy?. Psyccritiques, 30(7), 560.

    Article  Google Scholar 

  • Goldfried, M. R., & Davison, G. C. (1976). Clinical behavior therapy. Troy, MO: Holt, Rinehart & Winston.

    Google Scholar 

  • Greenberg, J. R., & Mitchell, S. A. (1983). Object relations in psychoanalytic theory. Cambridge, MA: Harvard University Press.

    Google Scholar 

  • Greenberg, L. S., & Paivio, S. C. (2003). Working with emotions in psychotherapy, (vol. 13). New York, NY: Guilford Press.

    Google Scholar 

  • Hill, C. E., Castonguay, L. G., Farber, B. A., Knox, S., Stiles, W. B., Anderson, T., … Caspar, F. (2012). Corrective experiences in psychotherapy: Definitions, processes, consequences, and research directions. In L. G. Castonguay & C. E. Hill (Eds.), Transformation in psychotherapy: Corrective experiences across cognitive-behavioral, humanistic, and psychodynamic approaches (pp. 355–370). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Hoffart, A. (2016). Cognitive models for panic disorder with agoraphobia: A study of disaggregated within-person effects. Journal of Consulting and Clinical Psychology, 84(9). doi:10.1037/ccp0000114.

  • Horowitz, L. M., Alden, L. E., Wiggins, J. S., & Pincus, A. L. (2000). IIP, inventory of interpersonal problems manual. New York, NY: The Psychological Corporation.

    Google Scholar 

  • Horowitz, L. M., Rosenberg, S. E., Baer, B. A., Ureño, G., & Villaseñor, V. S. (1988). Inventory of interpersonal problems: Psychometric properties and clinical applications. Journal of Consulting and Clinical Psychology, 56, 885–892.

    Article  CAS  PubMed  Google Scholar 

  • Horvath, A. O., Del Re, A., Flückiger, C., & Symonds, D. (2011). Alliance in individual psychotherapy. Psychotherapy, 48, 9–16. doi:10.1037/a0022186.

    Article  PubMed  Google Scholar 

  • Hothorn, T., Hornik, K., & Zeileis, A. (2006). Unbiased recursive partitioning: A conditional inference framework. Journal of Computational and Graphical Statistics, 15(3), 651–674.

    Article  Google Scholar 

  • Kraemer, H. C., Wilson, G. T., Fairburn, C. G., & Agras, W. S. (2002). Mediators and moderators of treatment effects in randomized clinical trials. Archives of General Psychiatry, 59(10), 877–883.

    Article  PubMed  Google Scholar 

  • Krull, J. L., & MacKinnon, D. P. (2001). Multilevel modeling of individual and group level mediated effects. Multivariate Behavioral Research, 36(2), 249–277.

    Article  CAS  PubMed  Google Scholar 

  • Laurenceau, J., & Bolger, N. (2012). Analyzing diary and intensive longitudinal data from dyads. Handbook of Research Methods for Studying Daily Life, 1, 407–422.

    Google Scholar 

  • Littell, R. C., Milliken, G. A., Stroup, W. W., Wolfinger, R. D., & Schabenberger, O. (2006). SAS for mixed models (2nd ed.). Cary, NC: SAS Institute.

    Google Scholar 

  • Loo, R. (2002). A caveat on using single-item versus multiple‐item scales. Journal of Managerial Psychology, 17(1), 68–75.

    Article  Google Scholar 

  • Lorenzo-Luaces, L., DeRubeis, R. J., & Webb, C. A. (2014). Client characteristics as moderators of the relation between the therapeutic alliance and outcome in cognitive therapy for depression. Journal of Consulting and Clinical Psychology, 82(2), 368.

    Article  PubMed  PubMed Central  Google Scholar 

  • Lorenzo-Luaces, L., Driessen, E., DeRubeis, R. J., Van, H. L., Keefe, J. R., Hendriksen, M., & Dekker, J. (2017). Moderation of the alliance-outcome association by prior depressive episodes: Differential effects in cognitive-behavioral therapy and short-term psychodynamic supportive psychotherapy. Behavior Therapy, 48(5), 581–595.

    Article  PubMed  Google Scholar 

  • Mitchell, S. A. (2000). Relationality: From attachment to intersubjectivity. Hillsdale, NJ: The Analytic Press.

    Google Scholar 

  • Muran, J. C. (2002). A relational approach to understanding change: Plurality and contextualism in a psychotherapy research program. Psychotherapy Research, 12(2), 113–138.

    Article  Google Scholar 

  • Muran, J. C., Safran, J. D., Samstag, L. W., & Winston, A. (1992). Patient and therapist postsession questionnaires, version 1992. New York: Beth Israel Medical Center.

    Google Scholar 

  • Muran, J. C., Safran, J. D., Samstag, L. W., & Winston, A. (2005). Evaluating an alliance-focused treatment for personality disorders. Psychotherapy: Theory, Research, Practice, Training, 42(4), 532.

    Article  Google Scholar 

  • Muran, J. C., Segal, Z. V., Samstag, L. W., & Crawford, C. E. (1994). Patient pretreatment interpersonal problems and therapeutic alliance in short-term cognitive therapy. Journal of Consulting and Clinical Psychology, 62(1), 185.

    Article  CAS  PubMed  Google Scholar 

  • Patton, M. J., Muran, J. C., Safran, J. D., Wachtel, P., & Winston, A. (1998). Treatment fidelity measure for three brief psychotherapies. New York: Beth Israel Center.

    Google Scholar 

  • Raue, P. J., & Goldfried, M. R. (1994). The therapeutic alliance in cognitive–behavior therapy. In A. O. Horvath & L. S. Greenberg (Eds.), The working alliance: Theory, research, and practice (pp. 131–152). New York, NY: Wiley.

    Google Scholar 

  • Robins, R. W., Hendin, H. M., & Trzesniewski, K. H. (2001). Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 27(2), 151–161.

    Article  Google Scholar 

  • Rubel, J. A., Rosenbaum, D., & Lutz, W. (2017). Patients’ in-session experiences and symptom change: Session-to-session effects on a within- and between-patient level. Behaviour Research and Therapy, 90, 58–66. doi:10.1016/j.brat.2016.12.007.

    Article  PubMed  Google Scholar 

  • Safran, J. D., & Kraus, J. (2014). Alliance ruptures, impasses, and enactments: A relational perspective. Psychotherapy, 51(3), 381.

    Article  PubMed  Google Scholar 

  • Safran, J. D., & Muran, J. C. (2000). Negotiating the therapeutic alliance: A relational treatment guide. New York, NY: Guilford Press.

    Google Scholar 

  • Safran, J. D., Muran, J. C., & Eubanks-Carter, C. (2011). Repairing alliance ruptures. Psychotherapy, 48(1), 80–87.

    Article  PubMed  Google Scholar 

  • Santangelo, C., Safran, J., Muran, J., & Winston, A. (1994). Adherence to manualized brief psychotherapy treatments. In Poster presented at the annual meeting of the society for psychotherapy research, Pittsburgh, PA.

  • Sasso, K. E., Strunk, D. R., Braun, J. D., DeRubeis, R. J., & Brotman, M. A. (2015). Identifying moderators of the adherence-outcome relation in cognitive therapy for depression. Journal of Consulting and Clinical Psychology, 83(5), 976–984. doi:10.1037/ccp0000045.

    Article  PubMed  PubMed Central  Google Scholar 

  • Strasser, H., & Weber, C. (1999). On the asymptotic theory of permutation statistics. Mathematical Methods of Statistics, 8, 220–250.

    Google Scholar 

  • Strunk, D. R., Brotman, M. A., & DeRubeis, R. J. (2010). The process of change in cognitive therapy for depression: Predictors of early inter-session symptom gains. Behaviour Research and Therapy, 48(7), 599–606.

    Article  PubMed  PubMed Central  Google Scholar 

  • Tracey, T. J., & Kokotovic, A. M. (1989). Factor structure of the working alliance inventory. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 1(3), 207.

    Article  Google Scholar 

  • Turner, A. E., & Muran, J. C. (1992). Cognitive behavioral therapy for personality disorders: A treatment manual. San Diego, CA: Social & Behavioral Documents.

    Google Scholar 

  • Wang, L. P., & Maxwell, S. E. (2015). On disaggregating between-person and within-person effects with longitudinal data using multilevel models. Psychological Methods, 20(1), 63.

    Article  PubMed  Google Scholar 

  • Wright, A. G., Hopwood, C. J., & Simms, L. J. (2015). Daily interpersonal and affective dynamics in personality disorder. Journal of Personality Disorders, 29(4), 503–525.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zeileis, A., Hothorn, T., & Hornik, K. (2008). Model-based recursive partitioning. Journal of Computational and Graphical Statistics, 17(2), 492–514.

    Article  Google Scholar 

  • Zilcha-Mano, S. (2016). New analytic strategies help answer the controversial question of whether alliance is therapeutic in itself. World Psychiatry, 15(1), 84–85.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zilcha-Mano, S. (2017). Is alliance really therapeutic? A systematic answer based on recent methodological developments. American Psychologist, 72(4), 311–325.

    Article  PubMed  Google Scholar 

  • Zilcha-Mano, S., & Errázuriz, P. (2015). One size does not fit all: Examining heterogeneity and identifying moderators of the alliance–outcome association. Journal of Counseling Psychology, 62(4), 579.

    Article  PubMed  Google Scholar 

  • Zilcha-Mano, S., & Errázuriz, P. (2017). Early development of mechanisms of change as a predictor of subsequent change and treatment outcome: The case of working alliance. Journal of Consulting and Clinical Psychology, 85(5), 508–520.

    Article  PubMed  Google Scholar 

  • Zilcha-Mano, S., Dinger, U., McCarthy, K. S., & Barber, J. P. (2014). Does alliance predict symptoms throughout treatment, or is it the other way around? Journal of Consulting and Clinical Psychology, 82(6), 931.

    Article  PubMed  Google Scholar 

  • Zilcha-Mano, S., Muran, J. C., Hungr, C., Eubanks, C. F., Safran, J. D., & Winston, A. (2016). The relationship between alliance and outcome: Analysis of a two-person perspective on alliance and session outcome. Journal of Consulting and Clinical Psychology, 84(6), 484.

    Article  PubMed  PubMed Central  Google Scholar 

  • Zilcha-Mano, S., Solomonov, N., Chui, H., McCarthy, K. S., Barrett, M. S., & Barber, J. P. (2015). Therapist-reported alliance: Is it really a predictor of outcome? Journal of Counseling Psychology, 62(4), 568.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sigal Zilcha-Mano.

Ethics declarations

Conflict of Interest

Sigal Zilcha-Mano, J. Christopher Muran, Catherine F. Eubanks, Jeremy D. Safran, and Arnold Winston, declare that they have no conflict of interest.

Informed Consent

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

Animal Rights

No animal studies were carried out by the authors for this article.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zilcha-Mano, S., Muran, J.C., Eubanks, C.F. et al. Not Just a Non-specific Factor: Moderators of the Effect of Within- and Between-Clients Alliance on Outcome in CBT. Cogn Ther Res 42, 146–158 (2018). https://doi.org/10.1007/s10608-017-9866-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10608-017-9866-5

Keywords

Navigation