Patterns of maternal responding in postpartum mothers with schizophrenia

Little is known about how schizophrenia might affect how a mother responds to her infant, such as whether responding is reduced or impaired. The aim was to identify, from brief videotaped interactions, whether the responses of mothers with schizophrenia were fewer, less positive, more negative, and more ‘abnormal’ than mothers with affective disorder, and whether their infants (mean age: 15 weeks) lacked activity or initiation to which mothers could respond. Mothers with schizophrenia (N = 14) were as responsive as mothers with affective disorder (N = 31), but they showed markedly low positive responsiveness. Only the schizophrenia group exhibited non-responses as a result of being psychologically withdrawn from the interaction, and abnormal behaviors. Inconsistent to our hypothesis, infants in both groups showed similar levels of activity, initiative and negativity. The findings highlight the need for further research to examine the contribution of maternal response impairments to the developmental vulnerability of this genetically high-risk group.     

An inferential confidence interval method of establishing statistical equivalence that corrects Tryon's (2001) reduction factor

Evidence of group matching frequently takes the form of a nonsignificant test of statistical difference. Theoretical hypotheses of no difference are also tested in this way. These practices are flawed in that null hypothesis statistical testing provides evidence against the null hypothesis and failing to reject H-sub-0 is not evidence supportive of it. Tests of statistical equivalence are needed. This article corrects the inferential confidence interval (ICI) reduction factor introduced by W. W. Tryon (2001) and uses it to extend his discussion of statistical equivalence. This method is shown to be algebraically equivalent with D. J. Schuirmann's (1987) use of 2 one-sided t tests, a highly regarded and accepted method of testing for statistical equivalence. The ICI method provides an intuitive graphic method for inferring statistical difference as well as equivalence. Trivial difference occurs when a test of difference and a test of equivalence are both passed. Statistical indeterminacy results when both tests are failed. Hybrid confidence intervals are introduced that impose ICI limits on standard confidence intervals. These intervals are recommended as replacements for error bars because they facilitate inferences.     

A qualitative analysis of young people's experiences of receiving a novel,client‐led,psychological therapy in school

Mental health problems often arise in adolescence. Schools have been recognised as a potential hub for support; however, delivering targeted interventions in schools can be difficult due to impracticalities. Subsequently, students have little or no say in the support process. Given the importance of control in well‐being, the current study explored how adolescents experienced Method of Levels, a therapy that allowed them to choose if and when to attend therapy. Interviews with 14 adolescents were conducted and then analysed using thematic analysis. Three main themes were identified; therapy style, therapy experience and exploring problems. An additional overarching theme was generated, regarding choice and control. Findings indicate that adolescents value having choice and control. This made the therapy style accessible, enhanced the therapeutic experience and ultimately facilitated the process of exploring problems.     

Using Wordle in Addictions Education

The authors of this article present a creative teaching strategy which illustrates how Wordle can be used in the addiction courses in counselor education programs. Wordle creates a representation of text where the more frequently the word is used, the larger the word appears in the form of a “word-cloud.” This method of graphically using words can illustrate meaning, perception, and change.     

Examining interrelationships between the Cigarette Purchase Task and delay discounting among pregnant women

Two common behavioral economic simulation tasks used to study cigarette smoking are the Cigarette Purchase Task, a measure of cigarette demand, and delay discounting, a measure of the subjective value of rewards as a function of delays to delivery. Few studies have evaluated whether combining these tasks enhances understanding of smoking beyond either alone. The current study represents an initial evaluation of the intersection between cigarette demand indices and delay discounting among pregnant smokers by examining associations between these measures and whether a woman makes antepartum quit attempts before entering prenatal care (a reliable predictor of eventual quitting). Participants were 159 pregnant women enrolled in a smoking‐cessation trial. Low O _max and shallow discounting were each associated with antepartum quit attempts. Participants were next categorized into four subgroups (low O _max, shallow discounting; low O _max, steep discounting; high O _max, shallow discounting; high O _max, steep discounting) using median splits. Those with shallow discounting and low O _max were more likely to have made quit attempts than each of the other three subgroups. That is, steep discounting appears to undermine the association of low O _max and efforts to quit smoking during pregnancy while high O _max overshadows any protective influence associated with shallow discounting.     

An overview of Bayesian reasoning in the analysis of delay‐discounting data

Statistical inference (including interval estimation and model selection) is increasingly used in the analysis of behavioral data. As with many other fields, statistical approaches for these analyses traditionally use classical (i.e., frequentist) methods. Interpreting classical intervals and p‐values correctly can be burdensome and counterintuitive. By contrast, Bayesian methods treat data, parameters, and hypotheses as random quantities and use rules of conditional probability to produce direct probabilistic statements about models and parameters given observed study data. In this work, we reanalyze two data sets using Bayesian procedures. We precede the analyses with an overview of the Bayesian paradigm. The first study reanalyzes data from a recent study of controls, heavy smokers, and individuals with alcohol and/or cocaine substance use disorder, and focuses on Bayesian hypothesis testing for covariates and interval estimation for discounting rates among various substance use disorder profiles. The second example analyzes hypothetical environmental delay‐discounting data. This example focuses on using historical data to establish prior distributions for parameters while allowing subjective expert opinion to govern the prior distribution on model preference. We review the subjective nature of specifying Bayesian prior distributions but also review established methods to standardize the generation of priors and remove subjective influence while still taking advantage of the interpretive advantages of Bayesian analyses. We present the Bayesian approach as an alternative paradigm for statistical inference and discuss its strengths and weaknesses.     

Common Representations of Abstract Quantities

ABSTRACT— Representations of abstract quantities such as time and number are essential for survival. A number of studies have revealed that both humans and nonhuman animals are able to nonverbally estimate time and number; striking similarities in the behavioral data suggest a common magnitude-representation system shared across species. It is unclear, however, whether these representations provide animals with a true concept of time and number, as posited by Gallistel and Gelman (2000) . In this article, we review the prominent cognitive and neurobiological models of timing and counting and explore the current evidence suggesting that nonhuman animals represent these quantities in a modality-independent (i.e., abstract) and ordered manner. Avenues for future research in the area of temporal and mathematical cognition are also discussed.     

Does hurt linger? Exploring the nature of hurt feelings over time

The utility of distinguishing between introjective hurt (feeling sad, engaging in selfblame, and wondering what one did wrong) and retaliatory hurt (yelling at, blaming, confronting, and feeling angry toward the offender) was explored in a longitudinal design of two months. Participants (N=51) were asked to describe a recent hurtful incident in survey format and complete subsequent measures of various behavioral and emotional reactions, including hurt and forgiveness. Results suggested the stability and relative independence of the two types of hurt and the differential significance of predictor variables (for example, apology) for each hurt type, both simultaneously and over time. These results support the distinction between retaliatory and introjective hurt as they represent distinct reactions with differential interpersonal outcomes.