Some models for individual-group comparisons and group behavior

In problem solving situations, it has been suggested the superiority of groups over individuals is due simply to the fact that groups consist of several individuals. In this paper, the Lorge and Solomon [1955] approach to such situations is reexamined using the method of maximum likelihood. Extensions to trichotomous response situations are also presented, and the resulting models are applied to data gathered by Staub [1970]. The partitioning of the likelihood ratio goodness-of-fit statistic is then discussed in order that the effects of additional variables on the response variate can be assessed. Finally, the small sample behavior of the likelihood ratio statistic is examined.This research was supported in part by Research Contract No. NSF GS-2818 from the Division of Social Sciences of the National Science Foundation to the Department of Statistics, The University of Chicago.Now at the University of Minnesota.     

Dynamic Relational Group Psychotherapy: A Neurobiologically Informed Model of Change

In this article, we introduce a preliminary, neurobiologically informed model of group therapy that links the timing and nature of specific group interventions with hypothesized changing neurobiological needs of the group. We suggest that the observed phases of group development reflect an underlying reorganization of neuronal circuitry that occurs as members progress through a hierarchically organized treatment, and that this reorganization involves the integration and homeostatic rebalancing of subcortical and neural networks. Our preliminary Dynamic Relational Model suggests that an understanding of the neurobiological processes involved in group development may help inform and direct effective group-based psychotherapy interventions.     

Likelihood methods for testing group problem solving models with censored data

Problem solving models relating individual and group solution times under time limit censoring are presented. Maximum likelihood estimates of parameters of the resulting censored distributions are derived and goodness of fit tests for the individual-group models are constructed. The methods are illustrated on data previously analyzed by Restle and Davis.This research was supported by grants from the Graduate School, University of Minnesota. Also, work of the second author was aided by a Single Quarter Leave granted by the Regents of the University of Minnesota.     

The influence of individual characteristics and severity of harassing behavior on reactions to sexual harassment

Differences in reactions to 18 scenarios depicting potentially sexually harassing situations were studied as a function of harassment severity and individual level factors. The scenarios illustrate a continuum of behavior, with some situations depicting overt sexual harassment and others portraying more innocuous behaviors. The individuals' reactions were strongly influenced by the perceived severity of the incidents. Reactions were influenced to a lesser extent by the individual level factors of gender, attitudes toward women, religiosity, and locus of control. Among these factors, gender had the strongest effect on reaction types. Findings indicate that harassment severity and individual level factors may combine to influence reactions to sexual harassment.The authors would like to thank Barbara Gutek and Gary Powell for their comments on an early draft of this paper.     

An Evaluation of Cognitive Behaviour Therapy with Mindfulness (CBTm) Classes and Telepsychology Utility in Rural Community Settings

Journal of Rational-Emotive & Cognitive-Behavior Therapy - Background: Cognitive behaviour therapy with mindfulness (CBTm) classes are a group-based, psychoeducational, clinical service. Early...