Centrality and Individual Differences In the Meaning of Dally Hassles

In this study we introduce the concept of centrality in an attempt to assess individual differences in the meaning underlying daily hassles. Central hassles are defined as those which reflect important ongoing themes or problems in the person's life. The characteristics of central hassles, and their role in psychological and somatic health, were assessed in a sample of 150 community-residing men and women. The results indicate that central hassles vary in content from person to person and touch more on problems with personal needs and deficits in coping skills compared to noncentral hassles. The dimension of centrality was found to play a significant role in the prediction of psychological symptoms. Although the empirical case for the importance of centrality in the stress-illness relationship is inconclusive due to problems of confounding and a cross-sectional rather than longitudinal design, the ideas presented appear promising and provide a basis for further research on psychological vulnerability to stress.     

Actual and Perceived Group Performance as a Function of Group Composition: The Moderating Role of the Type A and B Behavior Patterns1

This study examined the moderating influence of the Type A and B behavior patterns on group performance and group functioning. Type As and Bs were assigned to different roles in groups given the task of deciding what items to transfer from a sinking ship to a life raft. Results indicated that groups with Type A leaders in conflict with a Type A group member arrived at relatively poor decisions. Type A leaders, however, also were perceived by their groups to be more competent than were Type B leaders. These results suggested that the Type A behavior pattern can have the paradoxical effects of hindering group problem-solving and of leading others to view Type As as more competent than Type Bs because of their active dynamic style.     

Describing behavior in small groups with the Datamyte event recorder

A technology for coding and analyzing behavior in human groups is described. The behavior code is based on the scoring of verbal and physical contacts, emotional affect, and commands and complies. The code is reasonably valid and produces sufficiently high levels of observer agreement. Currently available computer programs for analyzing frequencies, rates, and proportions of behavior, as well as equity and reciprocity in behavioral transactions, are discussed. The development of programs for analyzing more microscopic features of interaction is also noted.     

A developmental cross-sectioning of women's careers and marriage attitudes and life plans

A new cultural imperative, “marriage and a career,” is probably emerging. This conclusion is based on study of a random sample of 180 women (60 each) in junior high, high school, and college. Amazing consistency appeared in this cross-sectioning of women's attitudes toward Education, Occupation, Marriage, and life Plans. The cultural imperative “to marry” was present at age 12, but by adulthood, the biological surge for early marriage had been passed and/or fulfilled, and career emerged as part of a life pattern. As young women develop they become more liberal in their attitudes and desires about work, which can now be fulfilled because of the relaxing cultural interdiction against married women working.     

The multiple factor theory in terms of common elements

With the mechanism of common elements we designed numerous sets of variates correlated with each other in a known manner and also correlated with the primary and specific factors in the same predetermined fashion. To the correlations from theoretical populations, and also from experimental samples, Thurstone's centroid method of factoring was applied. The resulting centroid co-ordinates were rotated to yield the test vectors. These vectors were close approximations to the theoretical and sample correlations.     

Organization development: A new modality for community mental health

Organization development (OD) is discussed as being a valid tool for advancing mental health and for promoting the present goals of community mental health centers, as well as for accomplishing organization development's traditional objectives of increasing organizational effectiveness in business, industry, and government agencies. A comparison is made between the main objectives of the community mental health movement in the United States and the major thrusts of current OD practice, showing how the foci of the two fields are essentially similar. The psychological aspects of OD are presented in their relation to mental health. Organization development is demonstrated to be both a legitimate and an effective modality for the community mental health practitioner to use in reaching large numbers of people in promoting positive mental health, primary prevention, improved interpersonal relations, and personal growth activities in the community.     

Correspondence between psychological reports based on the Mini-Mult and the MMPI.

In order to assess the utility of the Mini-Mult with a university counseling center clientele, MMPI answer sheets of 10 students at the University of Miami Counseling Center were scored for both the MMPI and the Mini-Mult. Four judges completed psychological reports (Q-item questionnaires) based on the profiles. Correlations between judges' responses to MMPI and Mini-Mult profiles were calculated as an indication of the correspondence between the two tests. In addition, correlations between judges' responses to repeated presentations of MMPI profiles were calculated as an indication of the judges' reliability over time. The results do not support the use of the Mini-Mult with a university counseling center clientele.     

A general least squares solution for successive intervals

A general least squares solution for successive intervals is presented, along with iterative procedures for obtaining stimulus scale values, discriminal dispersions, and category boundaries. Because provisions for weighting were incorporated into the derivation, the solution may be applied without loss of rigor to the typical experimental matrix of incomplete data, i.e., to a data matrix with missing entries, as well as to the rarely occurring matrix of complete data. The use of weights also permits adjustments for variations in the reliability of estimates obtained from the data. The computational steps involved in the solution are enumerated, the amount of labor required comparing favorably with other procedures. A quick, yet accurate, graphical approximation suggested by the least squares derivation is also described.This research was jointly supported in part by Princeton University, the Office of Naval Research under contract N6onr-270-20, and the National Science Foundation under grant NSF G-642, and in part by Educational Testing Service.