Epidemiology of alcohol consumption and related problems in Latin American countries: Contributions of psychology

Alcohol consumption is the leading risk factor for morbi‐mortality in many Latin American Countries. However, epidemiologic studies are relatively scarce. Among factors such as limited research capacity, disciplinary traditions and an emphasis on psychopathology within the field of psychology, have been postulated to account for this. The aim of this article is to review epidemiologic research on alcohol in Spanish Speaking Latin American Countries, and to measure the contribution of psychology to the field. A systematic search was performed in English and Spanish using regional and international data bases. We identified 269 articles. Most focused on consumption patterns in youth, with samples from a single school and using a variety of measures. With the exception of multinational efforts like Emergency Room Collaborative Alcohol Analysis Project or those supported by World Health Organization/Pan American Health Organization, studies reviewed reflected little cross country collaboration. Mexico accounted for most of the productivity, while many countries had very few or no articles. Most research was performed by health science researchers with a small contribution from psychology, but which increased significantly over time. The results of this review provide a broad identification of patterns regarding epidemiologic research on alcohol, and demonstrate the need for national scientific policies to promote research on public health topics.     

Making sense: The work of Eugene Gendlin

This and the following papers were presented at a symposium organized by David M. Levin honoring the work of Eugene Gendlin at meetings of the Society for Phenomenology and the Human Sciences, Boston, October, 1992.     

A Monte Carlo evaluation of masked visual analysis in response‐guided versus fixed‐criteria multiple‐baseline designs

We developed masked visual analysis (MVA) as a structured complement to traditional visual analysis. The purpose of the present investigation was to compare the effects of computer‐simulated MVA of a four‐case multiple‐baseline (MB) design in which the phase lengths are determined by an ongoing visual analysis (i.e., response‐guided) versus those in which the phase lengths are established a priori (i.e., fixed criteria). We observed an acceptably low probability (less than .05) of false detection of treatment effects. The probability of correctly detecting a true effect frequently exceeded .80 and was higher when: (a) the masked visual analyst extended phases based on an ongoing visual analysis, (b) the effects were larger, (c) the effects were more immediate and abrupt, and (d) the effects of random and extraneous error factors were simpler. Our findings indicate that MVA is a valuable combined methodological and data‐analysis tool for single‐case intervention researchers.     

Randomization procedures in single‐case intervention research contexts: (Some of) “the rest of the story”

Following up on articles recently published in this journal, the present contribution tells (some of) “the rest of the story” about the value of randomization in single‐case intervention research investigations. Invoking principles of internal, statistical‐conclusion, and external validity, we begin by emphasizing the critical distinction between design randomization and analysis randomization, along with the necessary correspondence between the two. Four different types of single‐case design‐and‐analysis randomization are then discussed. The persistent negative influence of serially dependent single‐case outcome observations is highlighted, accompanied by examples of inappropriate applications of parametric and nonparametric tests that have appeared in the literature. We conclude by presenting valid applications of single‐case randomization procedures in various single‐case intervention contexts, with specific reference to a freely available Excel‐based software package that can be accessed to incorporate the present randomization schemes into a wide variety of single‐case intervention designs and analyses.     

Comparing cognitive fusion and cognitive reappraisal as predictors of college student mental health

Transdiagnostic cognitive behavioral interventions target different cognitive processes to promote mental health, including cognitive fusion and cognitive reappraisal. Determining the relative impact of cognitive fusion and reappraisal on a range of student mental health concerns could help interventions target psychopathological cognitive processes more effectively. Therefore, this study examined the longitudinal impact of cognitive fusion and reappraisal on mental health and functioning outcomes. A series of hierarchical regression models tested the effects of cognitive fusion and reappraisal in a sample of college students (n = 339). When controlling for reappraisal and baseline symptoms, fusion predicted distress, depression, generalized anxiety, social anxiety, hostility, academic distress, and student role problems 1 month later. Reappraisal predicted only student role problems longitudinally when controlling for fusion. These results suggest that cognitive fusion is a stronger predictor than reappraisal for a range of student mental health concerns and may be a particularly important target for improving student mental health.     

The evidential status of philosophical intuition

Philosophers have traditionally held that claims about necessities and possibilities are to be evaluated by consulting our philosophical intuitions; that is, those peculiarly compelling deliverances about possibilities that arise from a serious and reflective attempt to conceive of counterexamples to these claims. But many contemporary philosophers, particularly naturalists, argue that intuitions of this sort are unreliable, citing examples of once-intuitive, but now abandoned, philosophical theses, as well as recent psychological studies that seem to establish the general fallibility of intuition.In the first two sections of this paper, I evaluate these arguments, and also the counter-arguments of contemporary defenders of tradition. In the next two sections, I sketch an alternative account of the role of philosophical intuitions that incorporates elements of traditionalism and naturalism - and defend it against other such views. In the final section, however, I discuss intuitions about conscious experience, and acknowledge that my view may not extend comfortably to this case. This may seem unfortunate, since so much contemporary discussion of the epistemology of modality seems motivated by worries about the mind-body problem, and informed by the position one wishes to endorse. But, as I argue, if conscious experience is indeed an exception to the view I suggest in this paper, it is an exception that proves - and can illuminate - the rule.     

Social Dominance Theory: Its Agenda and Method

The theory has been misconstrued in four primary ways, which are often expressed as the claims of psychological reductionism, conceptual redundancy, biological reductionism, and hierarchy justification. This paper addresses these claims and suggests how social dominance theory builds on and moves beyond social identity theory and system justification theory.     

Structural Validation of the Hamilton Depression Rating Scale

Despite the prolific use of the Hamilton Depression Rating Scale (HDRS), there have been no prior studies using confirmatory factor analysis (CFA) to compare competing HDRS latent structures. The current study undertakes this task, examining CFAs on 397 older adults on the most stable latent models previously posited and a new rationally derived model by Cole and Motivala. CFAs were evaluated in their original first-order structure and in hierarchically related counterparts. All hierarchical models performed significantly better than their first-order counterparts. Moreover, the hierarchical Cole and Motivala model was significantly better on all comparative criteria than any of the other models. However, none of the tested models obtained sufficient fit with the data suggesting psychometric, scoring, or content limitations of the scale.