Understanding Workaholism: A Review of Causes and Counseling Approaches

Is workaholism an addiction or a rewarding work style and life-style that may be harmful to one's family and co-workers? This central question directed the review of definitions and causes of workaholism. Thereafter, the authors discuss the role of “Type A” and obsessive-compulsive traits on the behavior of some workaholics, review the effects of workaholism on workaholics themselves and on others, and suggest counseling approaches that might be helpful to workaholics.     

Using sociometric measures to predict help seeking behaviors of youth in a positive peer culture program

Sociometric measures were used to predict help seeking behaviors of youth in a residential treatment center. Seventeen female adolescents with conduct disorders were asked to choose three peers in their group who were most popular, similar, and competent. These sociometric measures were correlated with the degree to which the participants would seek help from their peers across four problem scenarios representing actual situations encountered in residential settings. A multiple linear regression analysis suggested that sociometric measures of “competence” was the best predictor of intentions to seek help across the problem scenarios. Discussion focused on the implications of using sociometric measures within a residential treatment setting.     

Latent Structure of the Sources of Mathematics Self-Efficacy

General social cognitive theory and its career-specific elaborations posit four primary sources through which self-efficacy beliefs are acquired and modified: personal performance accomplishments, vicarious learning, social persuasion, and physiological states and reactions. We present two studies exploring the dimensionality of these sources within the context of career-relevant mathematics activities. In Study 1, 295 college students completed measures of the source variables. Testing two- through five-factor models, we found strongest support for a four-factor latent structure of the efficacy sources. In Study 2, involving 481 high school students, a five-factor model fit the data well. We also found evidence of a higher order factor structure in both samples. Several directions for further research on the sources of efficacy information are considered, along with implications for career and academic interventions.