Psychoanalysis, psychoanalytic science, and psychoanalytic research--1986

The present standing of psychoanalysis as a science and the vitality of psychoanalytic research effort are reviewed. The two are interdependent, since the possibilities for empirical research rest on the necessary assumption that psychoanalysis is indeed enough a science to be susceptible to knowledge advance by the (research) methods of science. Concerning our status as a science, I review attacks on our scientific credentials (both from within our ranks and without) by the logical positivists, by the hermeneuticists (a rubric comprising a variety of hermeneutic, phenomenological, exclusively subjectivistic, and/or linguistically based conceptualizations of our field), and the most recent by the philosopher of science, Adolf Grünbaum. I try to demonstrate what I feel to be the failure of each of these assaults, and why I feel there is no reason to see psychoanalysis as anything other than a scientific psychology and, therefore, in theory amenable to empirical research approaches. I then review the history and the current status of these systematic research efforts in psychoanalysis, and the reasons why these have been far less in scope and in accomplishment than has been possible or than has been needed. Here I have focused especially on research involving technique and our theory of change and cure--i.e., research on the analytic process; on what changes take place (outcome) and how those changes come about or are brought about (process).     

On working through: a model from artificial intelligence

Working through is centrally important to clinical psychoanalysis. It is inadequately explained in analytic theory. An artificial intelligence model of the process is proposed. Models of problem solving show that the complexity of necessary computation is an important determinant of how a problem is solved. Not optimal, but only good enough solutions are usually found. The quality of solutions depends on the time and resources available. Generally it is far easier to use existing methods than to develop new approaches. When problems must be solved in an emergency fashion, as in trauma, poor solutions are likely to emerge. In studying the annealing of metals and other complex optimization problems, a process, the Boltzman algorithm, was discovered, which continues the search for better solutions while gradually developing a coherent structure of the overall solution. The algorithm provides a model both for psychoanalytic working through and for the normally ongoing process of psychological development and reworking whose deficiency is characteristic of much psychopathology. Working through in the analytic situation is the reactivation of this normal process, and a good analytic outcome is achieved when the process can continue without the analyst. Properties of the Boltzman algorithm clarify such concepts as "optimal" frustration and anxiety which correspond to working in the area where the stable but not rigid structures emerge in the algorithms operation. These studies are an example of how computer science and artificial intelligence are a potentially rich source for psychoanalytic theory.     

Validity of the Millon Clinical Multiaxial Inventory in the assessment of affective disorders

The Millon Clinical Multiaxial Inventory (MCMI) was administered to 270 adult outpatients with major affective disorders at the same time that a semistructured, diagnostic interview was conducted by a clinician. The mood of the patient was then rated, and the clinician completed the Hamilton Depression Rating Scale and the Mania Rating Scale. A consensual diagnosis was arrived at by the team of investigators using DSM-III criteria. Significant correlations were found between four MCMI affective scales and the global mood state of the patient. Analysis of covariance indicated that the MCMI affective scales are significantly related to DSM-III affective disorders even after the effect of the current mood of the patient is partialled out. The clinical usefulness of each of the scales is discussed.     

The emotions of professional writers

In this study, 24 professional writers completed a short pencil-and-paper questionnaire on which they indicated how they felt before, at a pause, and after specific writing episodes. The intensity with which they experienced 20 emotions was assessed, as was the frequency with which these emotions were experienced when writing in general. Results indicated that the professionals experienced positive emotions significantly more often when writing in general than they experienced either negative-active or negative-passive emotions. Negative-passive emotions such as boredom, shame, and shyness were particularly rare and weak. During the actual writing process, positive emotions tended to intensify, whereas negative-passive and negative-active emotions resisted change. Sponsorship of writing had little impact on the quality of emotions experienced during the process. The professional poets, however, experienced negative-active emotions significantly more often when writing in general than did the prose writers.     

The MMPI and clinical diagnosis: a comparison of classification system outcomes with discharge diagnoses

This study examined the agreement or congruence rate between clinical-discharge diagnoses rendered by a psychiatrist, and admission and discharge MMPI-derived diagnoses from four diagnostic classification systems that have been developed for the MMPI. The four classification systems included a simple high-point code based on the most elevated clinical scale in the profile, the Henrichs revision of the Meehl-Dahlstrom rules, the Goldberg equations, and a system developed by Lachar. Subjects consisted of 150 patients selected from a larger pool of patients who had completed a 9-week adult residential treatment program. Overall, this study yielded modest hit rates between 26% and 34% for MMPI-derived diagnoses and psychiatric diagnoses across the various classification systems. In addition, stability of MMPI-based diagnoses from admission to discharge assessments ranged from 48% to 51% depending on the classification system employed. Findings are discussed in terms of their implications for the use of the MMPI in patient diagnosis. It is recommended that the MMPI be used in conjunction with other sources of clinical and test information in deriving clinical diagnoses.