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.     

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.     

Remembering Your Parents: Reflections on the Retrospective Method

In the present paper, I critique the use of the retrospective method when it is used as a proxy for actual longitudinal data on personality development. Studies on the constructive nature of memory cast strong doubts about the meaning of retrospective data. There are good reasons, both theoretical and empirical, to distrust the accuracy of such recall concerning parenting, whether recalled by parents, children, or siblings. Instead of using the method as a shortcut to developmental data, studies examining individual differences in accuracy and distortion and the factors that moderate them may inform us of the various meanings of retrospective data.     

Effects of Computer Privacy on Help-Seeking1

Subjects (N= 28) performing a complex disjunctive concept-formation task on a microcomputer were given the opportunity to seek help following failure to correctly identify concepts. The proportion of those seeking help was significantly greater when the source of help was the computer itself (86%) rather than another person (36%). Consistent with past research, those who did not ask for help gave reasons other than the potential negative social consequences of doing so. Self-report data and a systematic test for the presence of experimenter-induced demand ruled out several possible sources of confounding. The results have implications for designers of time-sharing and networked computer systems.     

Neuroticism, extraversion, and related traits in adult twins reared apart and reared together

The relative importance of genetic and environmental factors for neuroticism, extraversion, impulsivity, and monotony avoidance were estimated in a sample of 99 monozygotic and 229 dizygotic pairs of twins reared apart (TRA) and a matched sample of 160 monozygotic and 212 dizygotic pairs of twins reared together (TRT). The average age was 58.6 (SD = 13.6); 72% of the twins were 50 or older. Model-fitting analyses verified the importance of genetic factors for all four measures; from 23% to 45% of the total variation was attributable to genetic sources. There was considerable evidence that these factors were operating in a nonadditive manner for extraversion and impulsivity. Shared environment accounted for less than 10% of the variance; some evidence for selective placement was found for neuroticism.     

Conceptions of states and traits: dimensional attributes with ideals as prototypes

Traits and states are concepts that people use to both describe and understand themselves and others. We show that people view these concepts as prototype-based categories that have a graded internal structure and fuzzy boundaries and identify a set of attributes that define the prototypical cores of two categories: traits and states. Prototypical traits are stable, long-lasting, and internally caused. Prototypical states are temporary, brief, and caused by external circumstances. These prototypes are not defined by averages, as the family-resemblance principle would suggest, but by ideal (or extreme) attribute values. Like other ideal-based categories, traits and states serve particular goals. Trait concepts permit people to predict the present from the past; state concepts identify those behaviors that can be controlled by manipulating the situation. These two complementary schemas are part of the extensive theory of psychological causality that is implicit in language. Abstract social concepts differ from object categories in their category standards, the nature of their attributes, and the interrelations among those attributes.