What Are We Doing When We Translate from Quantitative Models?

Although quantitative analysis (in which behavior principles are defined in terms of equations) has become common in basic behavior analysis, translational efforts often examine everyday events through the lens of narrative versions of laboratory-derived principles. This approach to translation, although useful, is incomplete because equations may convey concepts that are difficult to capture in words. To support this point, we provide a nontechnical introduction to selected aspects of quantitative analysis; consider some issues that translational investigators (and, potentially, practitioners) confront when attempting to translate from quantitative models; and discuss examples of relevant translational studies. We conclude that, where behavior-science translation is concerned, the quantitative features of quantitative models cannot be ignored without sacrificing conceptual precision, scientific and practical insights, and the capacity of the basic and applied wings of behavior analysis to communicate effectively.     

Distortion of probability and outcome information in risky decisions

Substantial evidence indicates that information is distorted during decision making, but very few studies have assessed the distortion of probability and outcome information in risky decisions. In two studies involving six binary decisions (e.g., banning blood donations from people who have visited England, because of “mad cow disease”), student and nonstudent participants distorted their evaluations of probability and outcome information in the direction of their preferred decision alternative and used these biased evaluations to update their preferences. Participants also evaluated the utilities of possible outcomes more positively when the outcomes could follow only from the preferred alternative and more negatively when they could follow only from the competing alternative. Such circular reasoning is antithetical to the normative consequentialist principles underlying decision analysis. Presenting numerical information as precise values or as ranges of values did not significantly affect information distortion, apparently because the manipulation did not affect perceived ambiguity as intended.     

Are investors really willing to agree to disagree? An experimental investigation of how disagreement and attention to disagreement affect trading behavior

Using a series of laboratory markets, this paper provides evidence that a willingness to engage in speculative trade is largely driven by a failure of traders to account for information about value implicit in other traders’ actions and that this behavior arises because traders construct myopic mental models that ignore the perspective of other traders. In a baseline set of markets, where traders are prompted to estimate fundamental value but are not overtly prompted to consider disagreement, I find that traders are generally insensitive to adverse selection and readily engage in suboptimal, speculative trade. Moreover, this effect does not decline across trials suggesting that market feedback alone is unlikely to correct traders’ behavior. In contrast, when traders are prompted to assess disagreement over asset values or when they trade in more transparent markets, they appear less willing to “agree to disagree.” These results provide insight into why investors depart from rational trading strategies and how investor psychology will influence trading behavior.     

A meta‐analysis of psychopathy‐, antisocial PD‐ and FFM associations

This research meta‐analytically summarizes the relationships of the Five‐Factor Model (FFM) with psychopathy and Antisocial Personality Disorder (APD). Effect sizes of the associations between psychopathy, APD and the FFM were compiled from 26 independent samples (N = 6913) for psychopathy and 57 independent samples (N = 16 424) for APD. The results revealed predominantly points of similarity and some differences in the FFM associations of both disorders. Symptoms of psychopathy and APD were negatively associated with Conscientiousness and Agreeableness facets and positively with scores on Angry–Hostility (N2), Impulsiveness (N5), Excitement Seeking (E5) and negatively with Warmth (E1). Only psychopathy had a small negative association with Anxiety (N1) and was characterized by stronger negative associations with Agreeableness and Straightforwardness (A2), Compliance (A4) and Modesty (A5) compared to APD. The moderator analyses showed that sample type, use of the NEO‐PI‐R and APD instrument moderated the APD FFM associations, while psychopathy instrument and age group were moderators in the psychopathy MA. Implications of this research for the assessment of APD and psychopathy relying on dimensional models of personality pathology are discussed. Copyright © 2009 John Wiley & Sons, Ltd.     

我国产后抑郁研究现状分析

本文通过系统分析产后抑郁领域的国内研究现状,为研制针对性的干预策略奠定基础。研究遵循循证医学的理念,运用文献计量分析方法,对国内1998年～2007年间发表的111篇产后抑郁领域的研究文献进行分析。可见研究文献数量呈现逐年上升趋势,但研究范围主要局限于医学中心及区域范畴,研究内容主要涉及产后抑郁的评估与诊断、危险因素研究和预防干预方法的探索,但总体研究设计存在较大缺陷。可见亟需加强社区层面研究,提高研究设计的科学性,并将预防干预方法研究作为重点。     

Simulation à la Goldman: pretend and collapse

Theories of mind draw on processes that represent mental states and their computational connections; simulation, in addition, draws on processes that replicate (Heal 1986) a sequence of mental states. Moreover, mental simulation can be triggered by input from imagination instead of real perceptions. To avoid confusion between mental states concerning reality and those created in simulation, imagined contents must be quarantined. Goldman bypasses this problem by giving pretend states a special role to play in simulation (Goldman 2006). We argue that this path leads to the resurgence of the threat of collapse (Davies 1994), diluting the principled distinction between simulation and theory use. Exploration of a related method of real-mental states operating in a pretend mode leads to a factually untenable model. Our main goal here is to raise this problem as a challenge for Goldman’s reconfigured simulation theory. Only at the end we will briefly sketch a possible alternative way of quarantine that preserves the replicative element of simulation and avoids collapse. Figure 1 provides a guide to our argument. Fig. 1 Structure of argument

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Assessment of self-conscious emotions: a Swedish psychometric and structure evaluation of the Test of Self-Conscious Affect (TOSCA)

The Test of Self-Conscious Affect (TOSCA) is a well-established scenario-based questionnaire assessing self-conscious emotions, such as shame and guilt, which have been shown to be differentially associated with a variety of functional, motivational, behavioral and health outcomes. The aim of this study was to evaluate the psychometric properties and internal structure of a Swedish version of TOSCA in a sample of 361 healthy adults. The psychometric properties and internal consistency of the Swedish version were at level with the original US TOSCA version for shame, guilt and detachment. The internal structure of the Swedish version was acceptable for shame, guilt and detachment but contained shortcomings in assessment of externalization.     

Self-perceived employability: Investigating the responses of post-graduate students

This paper reports the further testing of a research instrument to examine the expectations and self-perceptions of employability of business students at post-graduate level, building on previously reported research with undergraduates [Rothwell, A., Herbert, I., & Rothwell, F. (2008). Self perceived employability: Construction and initial validation of a scale for university students. Journal of Vocational Behavior, 73(1), 1-12]. On this occasion the scale was again found to have a good internal reliability coefficient (α = .84), and discriminant validity from university commitment. Forcing a four-factor solution found components relating to the university’s reputation, individual self-confidence and proactivity, external labor market factors, and finally the individuals’ engagement with study and academic performance. For this multi-cultural post-graduate sample, perceptions of employability were good, but within that they placed significant emphasis on the brand and reputation of the university. Results indicate the potential for further studies with refined scales, particularly the combined scale of employability and ambition.     

Effects of exposure to community violence on school functioning: The mediating role of posttraumatic stress symptoms

This study investigated the association between exposure to community violence (ECV) and school functioning, as well as posttraumatic stress (PTS) symptoms as a potential mediator of the relationship. PTS symptoms are commonly associated with ECV, and are characterized by difficulty regulating emotions and behaviors. Thus, PTS symptomatology may be one mechanism through which community violence impacts school functioning. The community-based sample included 47 low-income African American children (aged 10-13). Results revealed that ECV was inversely related to academic performance and attendance. Symptoms of posttraumatic stress emerged as a mediator of the relation between ECV and academic performance. Results have implications for urban students who face violence in their communities, and emphasize the need for school-based mental health services.     

Mixed effects modeling of Morris water maze data: Advantages and cautionary notes

Morris water maze data are most commonly analyzed using repeated measures analysis of variance in which daily test sessions are analyzed as an unordered categorical variable. This approach, however, may lack power, relies heavily on post hoc tests of daily performance that can complicate interpretation, and does not target the nonlinear trends evidenced in learning data. The present project used Monte Carlo simulation to compare the relative strengths of the traditional approach with both linear and nonlinear mixed effects modeling that identifies the learning function for each animal and condition. Both trend-based mixed effects modeling approaches showed much greater sensitivity to identifying real effects, and the nonlinear approach provided uniformly better fits of learning trends. The common practice of removing a rat from the maze after 90 s, however, proved more problematic for the nonlinear approach and produced an underestimate of y-axis intercepts.