Bruce E. Wampold

Bio: Bruce E. Wampold is an academic researcher from University of Wisconsin-Madison. The author has contributed to research in topics: Evidence-based practice & Psychology. The author has an hindex of 70, co-authored 258 publications receiving 22165 citations. Previous affiliations of Bruce E. Wampold include University of California, Santa Barbara & University of Utah.

The Great Psychotherapy Debate: Models, Methods and Findings

Abstract: Contents: Foreword. Preface. Competing Meta-Models: The Medical Model Versus the Contextual Model. Differential Hypotheses and Evidentiary Rules. Absolute Efficacy: The Benefits of Psychotherapy Established by Meta-Analysis. Relative Efficacy: The Dodo Bird Was Smarter Than We Have Been Led to Believe. Specific Effects: Weak Empirical Evidence That Benefits of Psychotherapy Are Derived From Specific Ingredients. General Effects: The Alliance as a Case in Point. Allegiance and Adherence: Further Evidence for the Contextual Model. Therapist Effects: An Ignored but Critical Factor. Implications of Rejecting the Medical Model.

A meta-analysis of outcome studies comparing bona fide psychotherapies: Empiricially, "all must have prizes."

Abstract: This recta-analysis tested the Dodo bird conjecture, which states that when psychotherapies intended to be therapeutic are compared, the true differences among all such treatments are 0. Based on comparisons between treatments culled from 6 journals, it was found that the effect sizes were homogeneously distributed about 0, as was expected under the Dodo bird conjecture, and that under the most liberal assumptions, the upper bound of the true effect was about .20. Moreover, the effect sizes (a) were not related positively to publication date, indicating that improving research methods were not detecting effects, and (b) were not related to the similarity of the treatments, indicating that more dissimilar treatments did not produce larger effects, as would be expected if the Dodo bird conjecture was false. The evidence from these analyses supports the conjecture that the efficacy of bona fide treatments are roughly equivalent. In 1936, Rosenzweig proposed that common factors were responsible for the efficacy of psychotherapy and used the conclusion of the Dodo bird from Alice in Wonderland (Carroll, 1865/1962) to emphasize this point: "At last the Dodo said, 'Everybody has won, and all must have prizes' " (p. 412). Later, Luborsky, Singer, and Luborsky ( 1975 ) reviewed the psychotherapy outcome literature, found that the psychotherapies reviewed were generally equivalent in terms of their outcomes, and decreed that the Dodo bird was correct. Since Luborsky et al.'s seminal review, the equivalence of outcome in psychotherapy has been called the Dodo bird effect. To many interested in the technical aspects of particular psychotherapies, the Dodo bird effect was distasteful and, on the face of it, unbelievable: If the indiscriminate distribution of prizes argument carried true conviction . . . we end up with the same advice for everyone"Regardless of the nature of your problem seek any form of psychotherapy." This is absurd. We doubt whether even the strongest advocates of the Dodo bird argument dispense this advice. (Rachman & Wilson, 1980, p. 167)

The Great Psychotherapy Debate

Abstract: The second edition of The Great Psychotherapy Debate has been updated and revised to expand the presentation of the Contextual Model, which is derived from a scientific understanding of how humans heal in a social context and explains findings from a vast array of psychotherapies studies. This model provides a compelling alternative to traditional research on psychotherapy, which tends to focus on identifying the most effective treatment for particular disorders through emphasizing the specific ingredients of treatment. The new edition also includes a history of healing practices, medicine, and psychotherapy, an examination of therapist effects, and a thorough review of the research on common factors such as the alliance, expectations, and empathy.

Research Design in Counseling

Abstract: Part I: PHILOSOPHICAL, ETHICAL, TRAINING, AND PROFESSIONAL ISSUES. 1. Science and Counseling. 2. Research Training. 3. Ethical Issues in Counseling Research. 4. Professional Writing. Part II: GETTING STARTED: ESTABLISHING THE FOUNDATION FOR A STUDY. 5. Identifying and Operationalizing Research Topics. 6. Choosing Research Designs. 7. Validity Issues in Research Design. 8. Population Issues. 9. Conceptual and Methodological Issues Related to Multicultural Research. 10. Scale Construction. Part III: MAJOR RESEARCH DESIGNS. 11. True Experimental Designs. 12. Quasi-Experimental and Time Series Designs. 13. Quantitative Descriptive Designs. 14. Analogue Research. 15. Single-Subject Designs. 16. Qualitative Designs. 17. Mixed Methods. Part IV: METHODOLOGICAL ISSUES. 18. Designing and Evaluating the Independent Variable. 19. Designing or Choosing/Selecting the Dependent Variable. 20. Outcome Research: Strategies and Methodological Issues. 21. Design Issues Related to Counseling Process Research. 22. Program Evaluation. 23. Investigator, Experimenter, and Participant Bias. Appendix A: Ethical Standards of the American Counseling Association. Appendix B: Ethical Principles of Psychologists and Code of Conduct.

Using Multivariate Statistics

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Clinical significance: a statistical approach to defining meaningful change in psychotherapy research.

Abstract: In 1984, Jacobson, Follette, and Revenstorf defined clinically significant change as the extent to which therapy moves someone outside the range of the dysfunctional population or within the range of the functional population. In the present article, ways of operationalizing this definition are described, and examples are used to show how clients can be categorized on the basis of this definition. A reliable change index (RC) is also proposed to determine whether the magnitude of change for a given client is statistically reliable. The inclusion of the RC leads to a twofold criterion for clinically significant change.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Abstract: 1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Thinking fast and slow.

Abstract: In 1974 an article appeared in Science magazine with the dry-sounding title “Judgment Under Uncertainty: Heuristics and Biases” by a pair of psychologists who were not well known outside their discipline of decision theory. In it Amos Tversky and Daniel Kahneman introduced the world to Prospect Theory, which mapped out how humans actually behave when faced with decisions about gains and losses, in contrast to how economists assumed that people behave. Prospect Theory turned Economics on its head by demonstrating through a series of ingenious experiments that people are much more concerned with losses than they are with gains, and that framing a choice from one perspective or the other will result in decisions that are exactly the opposite of each other, even if the outcomes are monetarily the same. Prospect Theory led cognitive psychology in a new direction that began to uncover other human biases in thinking that are probably not learned but are part of our brain’s wiring.