Ulrike Kistner and Philippe Van Haute: Violence,Slavery and Freedom between Hegel and Fanon,Johannesburg: Wits University Press, 2020, 168 pp., ISBN 978-1-77,614-623-9, ISBN 978-1-77,614-627-7

Continental Philosophy Review - Violence, Slavery and Freedom between Hegel and Fanon is a volume of secondary literature that dispels common misconceptions about the relationship between Hegelian...     

Evaluation of the Bifactor Structure of the Dispositional Hope Scale

The Dispositional Hope Scale (DHS; Snyder et al., 1991) is composed of items assessing an individual's perception of his or her agency and pathways. This study examined support for the bifactor structure and relation of the factors in this model with depressive symptoms. It also examined cross-gender measurement invariance for the bifactor model. A community sample of 413 women and 257 men completed the DHS. Confirmatory factor analysis indicated more support for the bifactor model than the 1- and 2-factor models. Results also indicated full measurement invariance across gender for the bifactor and the 2-factor models. The general and the specific agency factors, but not the specific pathways factor, correlated with depressive symptoms. The better support for the bifactor model suggests that ideally hope has to be measured and examined by factors reflecting high covariance for agency and pathways, and also factors reflecting unique variances for agency and pathways. The support for full cross-gender measurement invariance indicated that there are no differences in measurement and scaling properties for the DHS across ratings provided by women and men, and therefore the DHS ratings can be scored in the same way for women and men.     

A Preliminary Study of Clinical Process in Relation to Outcome in Psychodynamic Psychotherapy for Panic Disorder

This study identified psychotherapeutic processes that relate meaningfully to psychotherapeutic outcome for patients with panic disorder undergoing Panic-Focused Psychodynamic Psychotherapy (PFPP) (Milrod et al., 1997). Subjects were 21 patients who participated in an open clinical trial of PFPP (Milrod et al., 2000; Milrod et al., 2001). The Interactive Process Assessment (IPA) (Klein, Milrod, and Busch, 1999), a process measure developed specifically to identify the process of PFPP, was used. Process-outcome relationships were calculated between process factors at early, mid, and late treatment and outcome measures at termination. Results showed that the therapist's focus on the transference late in treatment was associated with a decrease in panic symptoms. Transference focus early in the treatment, however, was correlated with an increase in related symptomatology, as measured by the HAM-A and SDS. It was unclear from the present study how focusing on panic symptomatology affected the treatment. This process might be better investigated by comparing this aspect of PFPP with alternative psychotherapies.     

Factor Structure Validation of the Alcohol Dependence Scale in a Heavy Drinking College Sample

The prevalence of alcohol use disorders in college students necessitates that adequate measures exist to assess students for abuse and dependence. The Alcohol Dependence Scale (ADS) is a continuous measure of the severity of alcohol involvement found to have a unidimensional factor structure in clinical samples. The latent factor structure of the ADS in college drinkers has not been examined and this study sought to replicate unidimensionality. Heavy college drinkers (N = 343) completed the ADS. Performance was examined using confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). The CFA did not support a single factor solution. Follow-up EFA revealed a two factor structure. The first, termed “Acute Excessive Drinking” consisted of relatively commonly endorsed items relating to loss of behavioral control, blackouts, and obsessive/compulsive drinking. The second, termed “Severe Withdrawal Symptoms,” consisted of relatively infrequently endorsed items relating to withdrawal symptoms. The ADS does not appear to have the same factor structure in college and clinical samples, making it inadvisable as a linear measure of alcohol problems within a college population.     

Predictors Of Self-Reported Physical Symptoms in Low-Income, Inner-City African American Women: The Role of Optimism, Depressive Symptoms, and Chronic Illness

In this study we examined the association of optimism and depressive symptoms with self-reported physical symptoms in 241 low-income, inner-city African American women with or without a chronic illness (HIV). Although optimism was not a unique predictor of self-reported physical symptoms over and above depressive symptoms, optimism interacted with depressive symptoms and health status. In the community sample, but not the chronically ill sample, optimism buffered the association between depressive symptoms and self-reported physical symptoms. Clinical implications and directions for future research are discussed.     

A visualization technique for Bayesian reasoning

We tested a method for solving Bayesian reasoning problems in terms of spatial relations as opposed to mathematical equations. Participants completed Bayesian problems in which they were given a prior probability and two conditional probabilities and were asked to report the posterior odds. After a pretraining phase in which participants completed problems with no instruction or external support, participants watched a video describing a visualization technique that used the length of bars to represent the probabilities provided in the problem. Participants then completed more problems with a chance to implement the technique by clicking interactive bars on the computer screen. Performance improved dramatically from the pretraining phase to the interactive‐bar phase. Participants maintained improved performance in transfer phases in which they were required to implement the visualization technique with either pencil‐and‐paper or no external medium. Accuracy levels for participants using the visualization technique were very similar to participants trained to solve the Bayes theorem equation. The results showed no evidence of learning across problems in the pretraining phase or for control participants who did not receive training, so the improved performance of participants using the visualization method could be uniquely attributed to the method itself. A classroom sample demonstrated that these benefits extend to instructional settings. The results show that people can quickly learn to perform Bayesian reasoning without using mathematical equations. We discuss ways that a spatial solution method can enhance classroom instruction on Bayesian inference and help students apply Bayesian reasoning in everyday settings.