Antidepressant Medication: Is It a Viable and Valuable Adjunct to Cognitive-Behavioral Therapy for School Refusal?

Cognitive-behavioral therapy (CBT) is an evidence-based treatment for school refusal. However, some youth do not respond to CBT. The serious risks associated with school nonattendance call for novel approaches to help those who do not respond to CBT. Because school refusal is commonly associated with anxiety disorders, and the combination of CBT and antidepressant medication enhances outcomes in the treatment of anxiety disorders, combined treatment may be effective for school refusal. This narrative review evaluates the current evidence base for adding antidepressant treatment to CBT for school refusal. Six randomized controlled trials (RCTs), two open trials, six case studies/series, and one observational study were identified and reviewed. There is support for combined CBT and imipramine, but this medication is not typically used due to the risk of concerning side effects. Two recent RCTs failed to provide evidence for the superiority of combined CBT and fluoxetine. Further research in this area is required because the extant studies have a number of methodological limitations. Recommendations are provided for clinicians who consider prescribing antidepressant medication or referring for adjunctive antidepressant treatment for school refusal.     

Gender and appearance accuracy: Women’s advantage over men is restricted to dress items

Which aspects of people’s appearance do women remember better than men? Women were predicted to remember the dress-related items but not the physical characteristics of targets more accurately than men, given that the former might be a more female-relevant domain of interest among perceivers. Participants watched a videotaped target and then completed a surprise test of their memory for her/his appearance. Men were as accurate as women at remembering the target’s physical features but less accurate than woman at recalling what the target was wearing. Discussion focuses on the implications of these findings for eyewitness accuracy.     

Reactive Criminal Thinking as a Consequence of Low Self-Control and Prior Offending

The purpose of this study was to determine if low self-control and prior serious offending serve as antecedents to reactive criminal thinking. Cross-lagged correlations between low self-control and serious offending were examined in 5,427 male and female members of the National Longitudinal Study of Adolescent Health (Add Health) in an effort to determine their effect on subsequent reactive criminal thinking. Results from a five-equation path analysis showed that the two cross-lagged relationships were equally predictive of reactive criminal thinking. These findings suggest that reactive criminal thinking may have its roots in low self-control and prior serious offending.     

The factor structure of the Eysenck Personality Profiler in Russia

One hundred and seventy seven males and 399 females completed a translated short version of the Eysenck Personality Profiler (EPP-S). Two hundred and ninety four Ss also completed the EPQ. By means of item analysis, further shortening of the EPP was achieved, while retaining adequate psychometric characteristics and convergent validity with EPQ scales. Confirmatory factor analysis (CFA) confirmed the Eysenck hierarchical model of personality with three basic dimensions and showed stability of the EPP factor structure across genders and sub-samples of different origin. However, CFA showed that only E and P were independent, while N was correlated with E and P.     

Ethnic Match and Treatment Outcomes for Child and Adolescent Mental Health Center Clients

This study investigated the effects of client ethnicity and client‐counselor ethnic match on treatment outcomes (i.e., GAF‐difference [from the Global Assessment of Functioning Axis V rating of the Diagnostic and Statistical Manual of Mental Disorders, fourth edition, American Psychiatric Association, 1994] and client visitation) of 1,946 child and adolescent community mental health center clients. After controlling for 7 other variables, no differences were observed after adjustment among client ethnicities, age groups, or ethnic match on the GAF‐difference dependent measure. Ethnically matched African American child and adolescent clients had fewer mental health visits than did their nonmatched counterparts. Implications of these findings are discussed.     

Stopping rule use during information search in design problems

Information search is critical in most decision-making tasks. An important aspect of information search is the stopping rule used by the decision maker to terminate information acquisition. Decision-making problems may be usefully decomposed into design problems and choice problems. The distinction is critical because the goals of stopping behavior in the two types of problems are quite different. In design problems, the focus is on the sufficiency of information obtained for problem structuring and generating alternatives, while choice problems focus on convergence toward a solution. While previous research has studied stopping behavior in choice problems, the present research is concerned with stopping rule use during information search in design problems. To build theory in this area, we conducted two experiments. In the first, we presented professional systems analysts with an information search problem in a systems development context and asked them to gather information for a proposed system. Protocols of the search sessions were analyzed, and stopping rules used and information gathered by the analysts were identified. Results indicated that the use of certain stopping rules resulted in greater quantity and quality of information gathered. Additionally, stopping rule use, rather than analyst experience, accounted for the quantity and quality of information elicited. Finally, stopping rule use differed between more experienced and less experienced analysts. To apply our findings about stopping rules from the first experiment, we performed a second experiment in which we investigated stopping rule use in a consumer information search task on the world wide web. Results indicated the use of the same stopping rules as in the first experiment, although in different proportions. Implications for information search theory and practice are discussed.     

Differentiating categorical and dimensional data with taxometric analysis: are two variables better than none?

Taxometric analyses have proven helpful for distinguishing categorical and dimensional data. Many taxometric procedures require at least 3 variables for analysis. What if a construct is defined by only 2 conceptually nonredundant characteristics or a data set contains only 2 empirically nonredundant variables? In Study 1, we performed extensive simulations to determine whether informative results can be obtained when only 2 variables are available for taxometric analysis. The mean above minus below a cut (MAMBAC) and maximum slope (MAXSLOPE) procedures, used with parallel analyses of comparison data, successfully differentiated categorical and dimensional structure. With just 2 variables, it seems especially important that indicators vary across as many distinct values as possible and that investigators obtain as large a sample as possible. Additional findings address questions about the most effective way to implement taxometric analyses. In Study 2, the potential utility of 2-variable taxometric analysis is illustrated using data on proactive and reactive childhood aggression, where the results provided strong support for dimensional structure. As long as high-quality data are available, it appears that one can have confidence in the results of taxometric analyses performed with only 2 variables.     

Predicting recidivism with the Psychopathy Checklist: are factor score composites really necessary?

In two previous studies on general and violent recidivism (Walters & Heilbrun, 2010; Walters, Knight, Grann, & Dahle, 2008), the summed composite antisocial facet of the Psychopathy Checklist displayed incremental validity relative to the other 3 facets (interpersonal, affective, lifestyle), whereas the other 3 facets generally failed to demonstrate incremental validity relative to the antisocial facet. Because summed composite scores do not account for ordinal item distributions, the 6 Walters et al. (2008) samples were reanalyzed with factor score composites derived from a 4-factor confirmatory factor analysis. The results, however, showed little change from what had been obtained earlier with summed composite scores. Two additional samples not previously included in any incremental validity analyses of the Psychopathy Checklist evidenced a 3-factor structure, with the lifestyle and antisocial facets merged into a single factor. This single factor displayed incremental validity relative to the interpersonal and affective facets, but the reverse was not true regardless of whether summed composite scores or factor score composites were used. A comparison of zero-order correlations from all 8 samples revealed that the antisocial summed composite score predicted significantly better than the summed composite scores for the other 3 facets and that a superordinate factor failed to improve on the performance of either the antisocial summed composite score or the antisocial factor score composite.