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.     

Usefulness of structural Rorschach data in identifying inpatients with depressive symptoms: a preliminary study

To explore the usefulness of various structural Rorschach data in identifying psychiatric inpatients with symptoms of depression, 54 adult inpatients were administered a Rorschach. Results indicated that the Comprehensive System, Rorschach Depression Index did not identify many of these individuals as depressed, but did identify most of the extratensive depressed individuals. Each variable included in the Depression Index and other potential, Rorschach correlations of depression were also investigated. Most of them were found to occur more often among these depressed patients than among nonpatients. Furthermore, adding other variables and using more liberal cutoffs may result in more accurate identification of patients with depressive symptoms.     

The utility of the Michigan Alcoholism Screening Test in the detection of alcoholics and problem drinkers

This study examined the vulnerability of the Michigan Alcoholism Screening Test (MAST), a widely used, direct alcohol inventory, to positive dissimulation. An earlier study by developers of the MAST suggested that most alcoholics were unable to alter their scores and thereby avoid detection by the instrument. But closer examination indicated that a standard scoring procedure was not employed. This study examined the ability of alcoholics to avoid detection by the MAST when using a standard scoring procedure. As predicted, alcoholics readily manipulated their MAST scores and avoided detection when so motivated. These results are discussed, indications and contraindications for use are included, and recommendations regarding future research are made.     

A comparison of two measures of egocentrism

This study examined the relationship between two prominent measures of egocentrism, Enright's Adolescent Egocentrism Scale (AES) and Elkind's Imaginary Audience Scale (IAS), in a sample of 458 adolescents, between 10 and 15 years old. Both correlational and factor analyses indicated that the two measures assess distinctly different phenomena. As predicted, IAS scores were correlated with self-reported levels of shyness, nervousness, and social skills. These results provide partial evidence for the validity of the IAS as a measure of self-consciousness, though not necessarily egocentrism per se. The validity of the AES was not examined.     

Gender-bound definitions of mental health

Fifteen male and 15 female American therapists-in-training (clinical and counseling psychology graduate students) were asked to take the Minnesota Multiphasic Personality Inventory (MMPI) under each of two instructional sets. In one set, they were instructed to respond to the items as a healthy male would respond, and in the other, as a healthy female would respond. The MMPI profiles obtained from male and female subjects were not significantly different, indicating that these male and female therapists-in-training did not differ in their perceptions of healthy men and women. When the data for male and female subjects were combined, however, healthy women were perceived differently than healthy men on several scales, although the MMPI profiles obtained under both instructional sets were well within normal limits.     

Comparison of response formats for Multidimensional Health Locus of Control Scales: six levels versus two levels

Two formats of the Multidimensional Health Locus of Control (MHLC) Scales were administered to 54 college students. Each subject completed the MHLC Scales in the standard 6-level response format (ranging from strongly disagree to strongly agree) and in a revised 2-level format (ranging from disagree to agree). Comparisons of internal consistency measures, principal components, and classification of subjects into groups indicate that the 2-level response format yields comparable data to those obtained with the 6-level format, particularly when classification of subjects is the goal.