A COMPARISON OF DIFFERENTIAL REINFORCEMENT AND NONCONTINGENT REINFORCEMENT TO TREAT FOOD SELECTIVITY IN A CHILD WITH AUTISM

We compared differential reinforcement plus escape extinction to noncontingent reinforcement plus escape extinction to treat food selectivity exhibited by a young child with autism. The interventions were equally effective for increasing bite acceptance and decreasing problem behaviors. However, a social validity measure suggested that noncontingent reinforcement was preferred by the child's caregiver.     

The Context of Current Content Analysis of Gender Roles: An Introduction to a Special Issue

The aim of this paper is to provide context for the quantitative content analyses of gender roles that are to be included in both parts of this special issue. First, a timeline of historical uses of the content analysis methodology is presented. Second, research objectives that frequently drive content analysis of gender roles are described; these include: to support feminist claims, to compare media with real life, to predict effects on audiences, and to detect effects of media producers on content. Third, previous content analyses published in Sex Roles and other gender-focused journals are reviewed and categorized in terms of medium, genre, time span, gender, and nationality. Finally, contributions of each of the articles in this special issue are outlined.     

The implementation of contextual therapy in the therapeutic community for substance abusers: a case study

Family therapy takes a special position in the therapeutic community for substance abusers (TC). In the early therapeutic communities, the family of origin was not considered as important for the substance abuser's recovery process, and was even labelled as part of the problem. It was only in the 1970s that the TC acknowledged the significance of family involvement in treatment. Nowadays, the contextual vision of Ivan-Boszormenyi-Nagy seems to have a strong impact on family counselling activities in Belgian TCs.
In this article, the integration of contextual thinking in the TC is discussed. By means of a case study, it is shown that there are some clear parallels between the treatment evolutions in family counselling and the peer group community. The central position of trust both in contextual therapy and the TC treatment model is an important common ground for stimulating integration. Some obstacles that can disrupt this integration process are discussed.     

Contributions to the Content Analysis of Gender Roles: An Introduction to a Special Issue

This special issue on gender-related content analysis is the second of two parts (see Rudy et al. 2010b). The current special issue is more diverse than was the first in the number of countries that are represented and in the variety of media genres and content types that are included. The primary aim of this paper is to outline some of the contributions of the individual papers in this second special issue. Some of these advancements and innovations include (a) examining underresearched measures, countries, time spans, sexual orientations, and individual media programs; (b) addressing both international and intranational differences in gender-role portrayals; (c) comparing multiple content formats within the same media unit; (d) updating past findings to take into consideration the current media landscape; (e) employing established measures in novel ways and novel contexts; (f) uncovering limitations in established intercultural measures and media-effects theories; (g) suggesting variables that could predict additional differences in gender-role portrayals; (h) adopting virtually identical methods and measures across distinct content categories in order to facilitate comparisons; (i) conducting multiple tests of a given hypothesis; (j) examining, from multiple perspectives, the implications of racial differences in gender portrayals; and (k) examining the implications of underrepresentation of women and the perspectives that women hold. In addition to the original content-analytical research presented in this special issue, two reviews, one methodological and the other analytical, offer recommendations of procedures and perspectives to be implemented in future research.     

Predictors of suicidal thoughts: Mood instability versus neuroticism

The personality trait neuroticism predicts depression and suicidal thoughts. Neuroticism is also linked to mood instability (MI)¹ that is common in patients with depression. This study investigated (a) whether MI predicts suicidal thoughts in depressed patients and (b) the relationship of MI to neuroticism. All 129 patients with Major Depression (MINI interview) were assessed on MI (Affective Lability Scale), neuroticism (Short Eysenck Neuroticism Scale), depression (Beck Depression Inventory), and suicidal thoughts (Beck Scale for Suicidal Ideation). Participants also completed the Perceived Stress Scale, Mood Disorder Questionnaire and five clinical questions on MI. Factor analysis of the Eysenck Neuroticism Scale revealed unstable moods as one of three main factors. Only depression severity and MI predicted suicidal thoughts once other variables including neuroticism were controlled. Mediation analyses showed that MI mediated the relationship between neuroticism and suicidal thoughts. These results suggest that MI as measured by the Affective Lability Scale typifies the type of depression that predicts suicidal thoughts and that MI may be more directly associated with suicidal thoughts than neuroticism. This demonstrates the clinical value of assessing MI rather than neuroticism in the treatment of patients with depression with suicidal thoughts.     

Context preexposure prevents forgetting of a contextual fear memory: implication for regional changes in brain activation patterns associated with recent and remote memory tests

Contextual fear conditioning was maintained over a 15-day retention interval suggesting no forgetting of the conditioning experience. However, a more subtle generalization test revealed that, as the retention interval increased, rats showed enhanced generalized fear to an altered context. Preexposure to the training context prior to conditioning, however, prevented this enhanced generalized fear from developing. These results support the hypothesis that the memory representation of the context degrades as the memory ages and is responsible for enhanced generalization. The implications of these results for systems consolidation versus forgetting interpretations of regional changes in neural activation patterns that occur as memories age are discussed.     

A Capacitarian Account of Culpable Ignorance

Ignorance usually excuses from responsibility, unless the person is culpable for the ignorance itself. Since a lot of wrongdoing occurs in ignorance, the question of what makes ignorance culpable is central for a theory of moral responsibility. In this article I examine a prominent answer, which I call the ‘volitionalist tracing account,’ and criticize it on the grounds that it relies on an overly restrictive conception of responsibility‐relevant control. I then propose an alternative, which I call the ‘capacitarian conception of control,’ and on the basis of it I advance an account of culpable ignorance that avoids the skeptical upshots of the volitionalist proposal. If correct, my account establishes three important truths: agents can be directly in control of their ignorance, they can be directly responsible for more than actions and omissions, and their moral obligations extend beyond the performance of intentional actions and omissions.     

Polytomous Latent Scales for the Investigation of the Ordering of Items

We propose three latent scales within the framework of nonparametric item response theory for polytomously scored items. Latent scales are models that imply an invariant item ordering, meaning that the order of the items is the same for each measurement value on the latent scale. This ordering property may be important in, for example, intelligence testing and person-fit analysis. We derive observable properties of the three latent scales that can each be used to investigate in real data whether the particular model adequately describes the data. We also propose a methodology for analyzing test data in an effort to find support for a latent scale, and we use two real-data examples to illustrate the practical use of this methodology.