Reviews of current books

Pastoral Psychology -     

Representation of interpersonal interactions on the Rorschach and level of psychopathology

Recent theoretical formulations emphasize the importance of the quality of interpersonal relationships in personality development and psychopathology and have resulted in the construction of methods for assessing the representation of interpersonal experiences. The Urist Mutuality of Autonomy (MOA) Scale is one of the most frequently used methods for assessing the quality of interpersonal relationships by evaluating interactions portrayed on the Rorschach between people, animals, and/or things. This study of the relationship of the MOA scale to independent assessments of interpersonal relationships and clinical symptoms in a group of seriously disturbed adolescents and young adults recently admitted to a long-term, open, residential treatment facility revealed that the average quality of interactions portrayed on the Rorschach relates significantly to the severity of clinical symptoms and the presence of thought disorder, but not to the quality of interpersonal relations. In addition, the portrayal of at least one intensively malevolent and destructive interaction on the Rorschach is correlated primarily with measures of thought disorder and impaired reality testing, whereas not giving at least one mutual and benevolent interaction response is correlated with impaired capacity for social adaptation (e.g., inappropriate interpersonal behavior and unmodulated affect). The relative failure to give at least one mutual and benevolent response is also correlated with the severity of clinical symptoms. Though the MOA scale was developed to assess object relations, it seems more consistently to assess aspects of psychopathology, such as the severity of clinical symptoms and the extent of thought disorder, and only secondarily the quality of interpersonal relationships.     

Note

A circuit that interfaces an Osborne I microcomputer to a capacitance-operated subject touch panel is described     

SOME EFFECTS OF REINFORCEMENT SCHEDULES IN TEACHING PICTURE NAMES TO RETARDED CHILDREN1

The effects of several different schedules of primary reinforcement were compared in a picture-naming task with retarded children. In Experiment I, number of correct responses and learning rate were higher under fixed-ratio schedules than under continuous reinforcement. In Experiment II, number of correct responses and learning rate tended to be greater under intermediate than under low or high fixed-ratio schedules. In Experiment III, number of correct responses was higher under interlocking schedules, in which the response requirement increased with time following the previous reinforcement, than under comparable fixed-ratio schedules. Learning rates were generally low and, perhaps because of this, not very different under the two types of schedules in this experiment. Accuracy (i.e., proportion of trials on which correct responses occurred) was typically high and insensitive to variations in schedule and schedule parameter throughout each experiment.     

Effect of conflict between the body parts on perceptual adaptation

Two groups of subjects adapted to prismatic displacement. One adapted in a visual target condition, in which they pointed to an external visual target with their right index fingers. The other adapted in a body target condition, in which they pointed to their left index fingers with their right index fingers. The visual target group showed more adaptation of the right hand and less adaptation of the left hand than did the body target group. These results are consistent with an assimilation tendency within the proprioceptive modality, namely that body parts that are in contact tend to be perceived as occupying the same spatial position.     

Models for the analysis of alternative sources of growth in correlated stochastic variables

An approach to the analysis of multivariate time series is presented in which linear structural relationships among multiple stochastic variables are investigated. A number of alternative structural models are considered for the case of two stochastic variables. Each model represents a possible hypothesis concerning the relationship of growth in one variable to growth in the second. Both symmetric and asymmetric models are considered. Extensions of two of the models to three variables are illustrated by means of a numerical example. Implications of the models for the problem of detecting change in multivariate time series are discussed.This paper is based in part on a paper read at the Psychometric Society Meetings, Princeton, N. J., Mar. 30–31, 1972. The research was supported by the Committe on Basic Research in Education, National Academy of Sciences, Grant No. OEG-0-9-140396-4497(010), Project No. 9-0396.