Battered Women: A Developmental Life-Career Counseling Perspective

The authors describe a career counseling strategy based on specific psychosocial characteristics of battered women. The approach is developmental in nature, focusing on the client's self-concept. A group format based on a pilot intervention is proposed to assist battered women in developing appropriate life and career decision-making skills.     

A behavior-analytic critique of Bandura's self-efficacy theory

A behavior-analytic critique of self-efficacy theory is presented. Self-efficacy theory asserts that efficacy expectations determine approach behavior and physiological arousal of phobics as well as numerous other clinically important behaviors. Evidence which is purported to support this assertion is reviewed. The evidence consists of correlations between self-efficacy ratings and other behaviors. Such response-response relationships do not unequivocally establish that one response causes another. A behavior-analytic alternative to self-efficacy theory explains these relationships in terms of environmental events. Correlations between self-efficacy rating behavior and other behavior may be due to the contingencies of reinforcement that establish a correspondence between such verbal predictions and the behavior to which they refer. Such a behavior-analytic account does not deny any of the empirical relationships presented in support of self-efficacy theory, but it points to environmental variables that could account for those relationships and that could be manipulated in the interest of developing more effective treatment procedures.     

Toward a predictive model of suicidal ideation and behavior: some preliminary data in college students

Within a multivariate statistical design, the relationship of various interpersonal, emotional, and cognitive variables to suicidal ideation and behavior in college students was examined. A total of 158 subjects (58 males, 100 females) completed self-report measures of life stress, faulty cognitions, loneliness, depression, hopelessness, family cohesiveness, adaptive reasons for living, and suicidal ideation and behavior. The results of a multiple-regression analysis, forward-inclusion algorithm, indicated that a predictive equation consisting of loneliness, irrational beliefs, and low adaptive reasons for living best accounted for suicidal behavior scores. To determine the basic structures and power of the predictor variables under study, a factor analysis and composite regression were employed, resulting in a predictive equation consisting of three factors: Social/Emotional Alienation, Cognitive Distortions, and Deficient Adaptive Resources. Results are discussed in terms of an interactional model of suicidal behavior.