Triple P-Positive Parenting Program as a public health approach to strengthening parenting

Parenting programs have considerable potential to improve the mental health and well-being of children, improve family relationships, and benefit the community at large. However, traditional clinical models of service delivery reach relatively few parents. A public health approach is needed to ensure that more parents benefit and that a societal-level impact is achieved. The Triple P-Positive Parenting Program is a comprehensive, multilevel system of parenting intervention that combines within a single intervention universal and more targeted interventions for high-risk children and their parents. With Triple P, the overarching goal is to enhance the knowledge, skills, and confidence of parents at a whole-of-population level and, in turn, to reduce the prevalence rates of behavioral and emotional problems in children and adolescents. The distinguishing features of the intervention and variables that influence its effective implementation are discussed. Self-regulation is a unifying concept that is applied throughout the entire system (e.g., to interactions between children, parents, service providers, and agencies involved in delivering the intervention). Challenges and future directions for the development of public health approaches to parenting are discussed.     

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.     

Couple communication in stepfamilies

Effective communication is assumed to help sustain couple relationships and is a key focus of most relationship education programs. We assessed couple problem-solving communication in 65 stepfamily and 52 first-time-marrying couples, with each group stratified into high risk and low risk for relationship problems based on family-of-origin experiences. Relative to partners in first-time couples, partners in stepfamily couples were less positive, less negative, and more likely to withdraw from discussion. Risk was associated with communication in first-time but not stepfamily couples. Stepfamily couples do not exhibit the negative communication evident in high-risk first-time-marrying couples, and available relationship education programs that focus on reducing negative communication are unlikely to meet the needs of stepfamilies.     

In the Eyes of the Beholder: Personality and the Perception of Leadership1

This series of studies focuses on the extent to which the personality of followers is related to their perception of transformational leadership. Followers from 3 different companies and students from a Dutch university were questioned on their personality characteristics and their perception of a described leader (students) or the perception of their actual leader (employees). Although the results differ for the different samples, we found a relationship between followers' personality and the perception of transformational leadership for all of the different samples. The different relationship that we found may hint to the impact of context on the relationship between personality and the perception of leadership. In the discussion, we explain our results in light of these different contexts.