Memory indexing of sequential symptom processing in diagnostic reasoning

In diagnostic reasoning, knowledge about symptoms and their likely causes is retrieved to generate and update diagnostic hypotheses in memory. By letting participants learn about causes and symptoms in a spatial array, we could apply eye tracking during diagnostic reasoning to trace the activation level of hypotheses across a sequence of symptoms and to evaluate process models of diagnostic reasoning directly. Gaze allocation on former locations of symptom classes and possible causes reflected the diagnostic value of initial symptoms, the set of contending hypotheses, consistency checking, biased symptom processing in favor of the leading hypothesis, symptom rehearsal, and hypothesis change. Gaze behavior mapped the reasoning process and was not dominated by auditorily presented symptoms. Thus, memory indexing proved applicable for studying reasoning tasks involving linguistic input. Looking at nothing revealed memory activation because of a close link between conceptual and motor representations and was stable even after one week.     

Exploring the dynamics of design fluency in children with and without ADHD using artificial neural networks

The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied, with a general focus on global performance measures of executive function. In this study, we compared how global (i.e., endpoint) versus process (i.e., dynamic) measures of performance may help characterize children with and without ADHD using a design fluency task as a case study. The secondary goal was to compare the sensitivity of standard versus connectionist statistical models to group differences in cognitive data. Thirty-four children diagnosed with ADHD and 37 children without ADHD aged 8–11 years old were tested on the Five-Point Test. The continuous process measure of performance, indexed as the number of produced designs at each consecutive 1 minute interval during 5 minutes, was analyzed against the discrete process measure, that is, the number of designs between first and last intervals and the standard global performance measure of total number of produced designs. Results show that the continuous process measure distinguished the two groups better than the two other measures. The detailed observation of production patterns revealed a decreasing linear trajectory in children without ADHD that contrasts with the flat, but fluctuating productivity pattern of children with ADHD. With regards to the second goal, results show that the connectionist and standard methods are equally sensitive to group differences for the three types of measures. This illustrates the utility of quantitative process measures together with the connectionist method in neuropsychological research and suggests great potential for a dynamical approach to cognition.     

Measuring the automatic negative self-schema: New evidence for the construct and criterion validity of the Depression Implicit Association

The construct and criterion validity of the Depression Implicit Association Test (Depression IAT) as a marker of an automatic negative self-schema was investigated. The Depression IAT and other measures were administered to a sample of 116 participants (72 females) aged 37.28 (SD = 15.69) that was composed by 56 patients with an history of suicide ideation (SI) and by 60 university students. Combining students and patients’ sub-samples, results revealed that the Depression IAT was significantly and positively correlated with self-report scales of depression and hopelessness as well as with implicit and explicit measures of death-life identification. On the contrary, it was negatively correlated with life satisfaction, optimism, and self-esteem scales. These results give new evidence for the construct validity of the Depression IAT. Moreover, considering only the patients’ sub-sample, significant correlations between Depression IAT scores and SI in the last year, month, and week, as well as in a follow-up observation two months later, were found. These correlations remain unchanged even when the Death IAT was controlled for, supporting the incremental validity of the Depression IAT. Overall, these results provide new evidence for the construct and criterion validity of the Depression IAT as a marker of an automatic negative self-schema.     

Moods in transition: Theorizing the affective-dynamic constitution of situatedness

In this paper we draw from Gilbert Simondon's work in order to develop a conceptual perspective on moods as transitory, dynamic, and holistic affective processes, manifesting the persistence of pre-individual tensions throughout processes of individuation. In defending our proposal we focus on two features of mood experiences that have traditionally proven conceptually challenging: (1) the intentionality of moods and (2) their phenomenal status. By revisiting Colombetti's theory of moods as affectively scaffolded and Slaby's theory of moods as disclosive postures we show how a Simondonian approach might enrich current enactive as well as phenomenological theorizing about moods.     

The Dual Process Model of Ideology and Prejudice: A Longitudinal Test During a Global Recession

ABSTRACT

This study tested the pathways between personality, social worldviews, and ideology, predicted by the Dual Process Model (DPM) of ideology and prejudice. These paths were tested using a full cross-lagged panel design administered to a New Zealand community sample in early 2008 (before the effects of the global financial crisis reached New Zealand) and again in 2009 (when the crisis was near its peak; n?=?247). As hypothesized, low openness to experience predicted residualized change in dangerous worldview, which in turn predicted right-wing authoritarianism (RWA). Low agreeableness predicted competitive worldview, which in turn predicted social dominance orientation (SDO). RWA and SDO also exerted unexpected reciprocal effects on worldviews. This study provides the most comprehensive longitudinal test of the DPM to date, and was conducted during a period of systemic instability when the causal effects predicted by the DPM should be, and were, readily apparent.     

Integration of Analytic Hierarchy Process with Regression Analysis to Identify Attractive Locations for Market Expansion

Selection of new geographies in which to expand is a key decision for businesses aspiring to go beyond the opportunities in the existing markets. The conventional approaches of market selection can only provide a set of systematic steps for problem solving without considering the relationships between the decision factors. Decision models based on statistical techniques are able to examine the relationship between decision factors but are unable to effectively assist decision makers in identifying the most promising market, particularly in terms of prioritizing across decision factors. Analytic Hierarchy Process (AHP) is a commonly used approach for choosing alternatives by prioritizing across multiple decision factors. The typical AHP modelling requires knowledge of criteria and/or alternatives along with their relative weights, generally elicited from field experts. Quite often, firms encounter situations where decision makers are aware of only the overall objective and a set of earmarked geographies for setting up market locations while being relatively unaware of decision criteria and relative weights. This precludes using AHP to identify promising market locations. This paper conceptualizes a market selection decision model that integrates AHP with statistical modelling techniques to identify the attractive market locations for the purpose of expansion. The model first uses principal component analysis and multiple regression to determine significant decision criteria and their weights. Thereafter, it applies AHP to prioritize the market locations across the decision criteria. This integrative approach is illustrated for identifying the attractive locations in rural markets for a steel firm in India. The major advantage of this approach is that unlike the existing models, it works in situations when firms have not enough knowledge about factors for evaluating alternative market locations. Another key advantage of the proposed model is that of economizing resources for data collection on variables representing decision factors. Copyright © 2012 John Wiley & Sons, Ltd.     

内隐联想测验“内隐性”的可控性研究

在许多社会科学研究中,社会称许性会对研究的效度产生不良影响。研究者希望能得到被试的真实态度和反应,从而极力避免这种社会称许性偏见。内隐测量工具的一个主要目的是让研究者能够获得未加任何粉饰的态度测量结果从而消除和避免自我表现和社会称许性。本文通过四个实验考察了内隐联想测验的可掩饰性、掩饰的持久性、掩饰的条件化和IAT经验的迁移性,结果显示：（1）被试可以通过一定的反应策略来掩饰其真实的内隐态度,从而使所测得的个体内隐态度和群体内隐态度失真,典型的反应策略是均衡相容和不相容任务的反应速度;（2）内隐联想测验的可掩饰性需以先前的IAT经验为基础,且IAT经验无需属于相同的测验范畴,对IAT原理的掌握将有助于被试成功地实施掩饰;（3）内隐联想测验的可掩饰性具有一定的时效性,先前的IAT经验越久远,则成功掩饰的可能性越低;总之,内隐联想测验并不能彻底避免社会称许性。     

A History Which Began to Be Told: A Clinical Case

This article aims to reflect on the possible contributions of psychoanalysis in relation to severely disturbed patients by means of the presentation of a clinical case. Beginning with the family history, the evolutionary process of the symptoms and identification movements of the patient are analysed. The observation of the transference dynamics is emphasised, showing how the desire of the analyst and his privileged listening will allow the patient some level of possible subjective structure.