Fast and accurate measurement of taste and smell thresholds using a maximum-likelihood adaptive staircase procedure

This paper evaluates the use of a maximum-likelihood adaptive staircase psychophysical procedure (ML-PEST), originally developed in vision and audition, for measuring detection thresholds in gustation and olfaction. The basis for the psychophysical measurement of thresholds with the ML-PEST procedure is developed. Then, two experiments and four simulations are reported. In the first experiment, ML-PEST was compared with the Wetherill and Levitt up-down staircase method and with the Cain ascending method of limits in the measurement of butyl alcohol thresholds. The four Monte Carlo simulations compared the three psychophysical procedures. In the second experiment, the test-retest reliability of ML-PEST for measuring NaCl and butyl alcohol thresholds was assessed. The results indicate that the ML-PEST method gives reliable and precise threshold measurements. Its ability to detect malingerers shows considerable promise. It is recommended for use in clinical testing.     

Reliability of the Chronic Mild Stress paradigm: Implications for research and animal welfare

The Chronic Mild Stress (CMS) model for depression has become central to the empirical literature on depression. There are however inconsistencies in the literature concerning the robustness of the phenomenon of anhedonia following CMS procedures. We report that not only did our procedures (modeled on the original reports) fail to induce an anhedonia, but in fact led to increased sucrose consumption. Furthermore, corticosterone levels following CMS procedures were lower than following control procedures. Given that this is not the first report of such findings, it is important to evaluate whether and which aspects of the experimental methodology are necessary or sufficient to induce the state of anhedonia.     

An in-situ examination of the timing of information pick-up for interception by cricket batsmen of different skill levels

ObjectivesCricket batting is performed under demanding constraints, which requires rapid and accurate decision making for successful achievement of the skill goal. To understand how batsmen negotiate these constraints, the capability of highly skilled and low skilled cricket batsmen to utilise visual information prior to and during sections of ball flight to strike balls delivered by fast bowlers was examined.MethodSix highly skilled and six low skilled batsmen faced different types of balls delivered by three fast bowlers. Batsmen wore vision occlusion spectacles and were required to strike delivered balls, while their vision of the bowler's delivery action and ball flight was selectively occluded. Three vision conditions were randomly designed that included temporal occlusion at: (i) a point prior to ball release (providing only advance information), (ii) a point prior to ball bounce (providing advance and ball flight information) and (iii) no occlusion (where all advance, ball flight and bounce information were visible). Foot movements made forward or backward were assessed as a measure of ball length judgement, while the quality of bat–ball contact was assessed as a measure of interception.ResultsResults demonstrated the superior capability of highly skilled batsmen to utilise information prior to ball release to judge short ball length. Expert batsmen were better able to utilise ball flight information prior to and post-bounce to attain a superior number of bat–ball contacts.ConclusionsFindings demonstrate that the mechanism of experts to deal with task constraints when attempting to intercept a delivered ball is their capability to pick-up visual information to judge ball landing position.     

The development of reading impairment: a cognitive neuroscience model

This review discusses recent cognitive neuroscience investigations into the biological bases of developmental dyslexia, a common disorder impacting approximately 5 to 17 percent of the population. Our aim is to summarize central findings from several lines of evidence that converge on pivotal aspects of the brain bases of developmental dyslexia. We highlight ways in which the approaches and methodologies of developmental cognitive neuroscience that are addressed in this special issue-including neuroimaging, human genetics, refinement of cognitive and biological phenotypes, neural plasticity and computational model-can be employed in uncovering the biological bases of this disorder. Taking a developmental perspective on the biological bases of dyslexia, we propose a simple cascading model for the developmental progression of this disorder, in which individual differences in brain areas associated with phonological processing might influence the specialization of visual areas involved in the rapid processing of written words. We also discuss recent efforts to understand the impact of successful reading interventions in terms of changes within cortical circuits associated with reading ability.     

Functional Psychopathy in Morally Relevant Business Decisions

Literature addressing organizational ethical behavior has focused intensely on cognitive moral development, and more recently the automatic and natural moral inclinations (i.e., moral intuitions). Research addressing the incapacity for moral reasoning, such as psychopathy, is rarely addressed in organizational behavior (Smith & Lilienfeld, 2013; Stevens, Deuling, & Armenakis, 2011). Our first aim is to develop a construct definition for functional psychopathy that is appropriate for organizational science and theoretically consistent with the extensive previous clinical and criminal research in this field. Second, we apply two versions of a scale not previously used in business research relative to moral judgments. This scale is a self-reported measure of functional psychopathy and is useful for its relationships with ethically relevant business decisions. Further, we examine which factors emerge as having the highest relationship with ethical decision making. Third, we seek to advance the usefulness of this construct by more precisely placing psychopathy within its nomological network. With these goals in mind, a combined sample of business school seniors (N = 418) participated in three studies. Findings indicate a significant influence of psychopathy over a range of ethically relevant business decisions, as well as negative correlations with factors of the Moral Approbation (Ryan & Riordan, 2000) and the Moral Awareness (Reynolds, 2006a) scales. We conclude with directions for future research and considerations for practice.     

The cultural theory and model of suicide

A growing body of research has demonstrated important variations in the prevalence, nature, and correlates of suicide across ethnic and sexual minority groups. Despite these developments, existing clinical and research approaches to suicide assessment and prevention have not incorporated cultural variations in any systematic way. In addition, theoretical models of suicide have been largely devoid of cultural influence. The current report presents a comprehensive analysis of literature describing the relationship between cultural factors and suicide in three major ethnic groups (African Americans, Asian Americans, and Latinos) and LGBTQ¹ sexual minority groups. We utilized an inductive approach to synthesize this variegated body of research into four factors that account for 95% of existing culturally specific risk data: cultural sanctions, idioms of distress, minority stress, and social discord. These four cultural factors are then integrated into a theoretical framework: the Cultural Model of Suicide. Three theoretical principles emerge: (1) culture affects the types of stressors that lead to suicide; (2) cultural meanings associated with stressors and suicide affect the development of suicidal tendencies, one's threshold of tolerance for psychological pain, and subsequent suicidal acts; and (3) culture affects how suicidal thoughts, intent, plans, and attempts are expressed. The Cultural Model of Suicide provides an empirically guided cohesive approach that can inform culturally competent suicide assessment and prevention efforts in future research and clinical practice. Including both ethnic and sexual minorities in our investigations ensures advancement along a multiple identities perspective.     

A bifactor model of negative affectivity: fear and distress components among younger and older youth

The Positive and Negative Affect Schedule for Children (PANAS-C) is a 27-item youth-report measure of positive affectivity and negative affectivity. Using 2 large school-age youth samples (clinic-referred sample: N = 662; school-based sample: N = 911), in the present study, we thoroughly examined the structure of the PANAS-C NA and PA scales and fit a bifactor model to the PANAS-C NA items. Our exploratory factor analytic results demonstrated that negative affectivity is comprised of 2 main components-NA: Fear and NA: Distress-specifically among older youth. A bifactor model also evidenced the best model fit relative to a unidimensional and second-order factor structure of the PANAS-C NA items. The NA: Fear group factor evidenced significant correspondence with external criterion measures of anxiety. However, the original PANAS-C NA scale evidenced equal (and in some cases greater) correspondence with criterion measures of anxiety. We thus recommend continued usage and interpretation of the full PANAS-C NA scale despite the identification of the fear and distress group factors underlying general negative affectivity. The identification of these fear and distress group factors nonetheless suggest that negative affectivity may be comprised largely of a fear and distress component among older youth. The implications of these findings are discussed in relation to better understanding the structure of psychopathology across childhood development and informing the development of future treatments of negative emotions.     

Structural Equation Modeling Approaches for Analyzing Partially Nested Data

Study designs involving clustering in some study arms, but not all study arms, are common in clinical treatment-outcome and educational settings. For instance, in a treatment arm, persons may be nested in therapy groups, whereas in a control arm there are no groups. Methodological approaches for handling such partially nested designs have recently been developed in a multilevel modeling framework (MLM-PN) and have proved very useful. We introduce two alternative structural equation modeling (SEM) approaches for analyzing partially nested data: a multivariate single-level SEM (SSEM-PN) and a multiple-arm multilevel SEM (MSEM-PN). We show how SSEM-PN and MSEM-PN can produce results equivalent to existing MLM-PNs and can be extended to flexibly accommodate several modeling features that are difficult or impossible to handle in MLM-PNs. For instance, using an SSEM-PN or MSEM-PN, it is possible to specify complex structural models involving cluster-level outcomes, obtain absolute model fit, decompose person-level predictor effects in the treatment arm using latent cluster means, and include traditional factors as predictors/outcomes. Importantly, implementation of such features for partially nested designs differs from that for fully nested designs. An empirical example involving a partially nested depression intervention combines several of these features in an analysis of interest for treatment-outcome studies.