A Case of Premature Termination in a Treatment for Generalized Anxiety Disorder

In this paper we present a case of failure in an integrative treatment for generalized anxiety disorder (GAD) combining cognitive-behavioral therapy, an empirically supported treatment for GAD, and interpersonal-emotional processing therapy. The client of focus dropped out of treatment after the eighth session. Based on our analysis of this case, we discuss the participant, technical and relationship factors that were likely implicated in this case of premature termination in both of the cognitive-behavioral and interpersonal-emotional processing segments that comprised the treatment. Implications for practice, training and future research are also discussed.     

Gratifications, collective self-esteem, online emotional openness, and traitlike communication apprehension as predictors of Facebook uses

This study explores whether and how gratifications and psychological traits impact people's Facebook use. First, a factor analysis of an online survey (N= 437) outlined a unique set of gratifications obtained from the use of Facebook. Six aspects of gratifications (i.e., social surveillance, entertainment, recognition, emotional support, network extension, and maintenance) were identified. Results from regression analyses showed that psychological traits (i.e., collective self-esteem, online emotional openness, and traitlike communication apprehension) were strong predictors of most Facebook gratifications. Additionally, gratifications and, to a lesser extent, psychological traits significantly predicted Facebook usage, both in perceived importance and different indicators in the level of Facebook use.     

A generalized simplex for factor analysis

By a simplex is meant a set of statistical variables whose interrleations reveal a simple order pattern. For the case of quantitative variables, an order model was analyzed previously which allowed only for positive correlations among the variables and a limited type of gradient among the correlation coefficients. The present paper analyzes a more general model and shows how it is more appropriate to empirical data. Among the novel features emerging from the analysis are: (a) the factoring implied of the correlation matrix; (b) the use of a non-Euclidean distance function; and (c) the possible underlying psychological theories.Read at the International Congress of Psychology, Montreal, June 7–12, 1954. This research was facilitated in part by an uncommitted grant-in-aid to the writer from the Behavioral Sciences Division of the Ford Foundation.