Order‐constrained linear optimization

Despite the fact that data and theories in the social, behavioural, and health sciences are often represented on an ordinal scale, there has been relatively little emphasis on modelling ordinal properties. The most common analytic framework used in psychological science is the general linear model, whose variants include ANOVA, MANOVA, and ordinary linear regression. While these methods are designed to provide the best fit to the metric properties of the data, they are not designed to maximally model ordinal properties. In this paper, we develop an order‐constrained linear least‐squares (OCLO) optimization algorithm that maximizes the linear least‐squares fit to the data conditional on maximizing the ordinal fit based on Kendall's τ. The algorithm builds on the maximum rank correlation estimator (Han, 1987, Journal of Econometrics, 35, 303) and the general monotone model (Dougherty & Thomas, 2012, Psychological Review, 119, 321). Analyses of simulated data indicate that when modelling data that adhere to the assumptions of ordinary least squares, OCLO shows minimal bias, little increase in variance, and almost no loss in out‐of‐sample predictive accuracy. In contrast, under conditions in which data include a small number of extreme scores (fat‐tailed distributions), OCLO shows less bias and variance, and substantially better out‐of‐sample predictive accuracy, even when the outliers are removed. We show that the advantages of OCLO over ordinary least squares in predicting new observations hold across a variety of scenarios in which researchers must decide to retain or eliminate extreme scores when fitting data.     

TACIT: An open-source text analysis,crawling, and interpretation tool

As human activity and interaction increasingly take place online, the digital residues of these activities provide a valuable window into a range of psychological and social processes. A great deal of progress has been made toward utilizing these opportunities; however, the complexity of managing and analyzing the quantities of data currently available has limited both the types of analysis used and the number of researchers able to make use of these data. Although fields such as computer science have developed a range of techniques and methods for handling these difficulties, making use of those tools has often required specialized knowledge and programming experience. The Text Analysis, Crawling, and Interpretation Tool (TACIT) is designed to bridge this gap by providing an intuitive tool and interface for making use of state-of-the-art methods in text analysis and large-scale data management. Furthermore, TACIT is implemented as an open, extensible, plugin-driven architecture, which will allow other researchers to extend and expand these capabilities as new methods become available.     

Modified TC for MICA offenders: crime outcomes

The study randomly assigned male inmates with co-occurring serious mental illness and chemical abuse (MICA) disorders to either modified therapeutic community (MTC) or mental health (MH) treatment programs. On their release from prison, MICA inmates who completed the prison MTC program could enter the MTC aftercare program. The results, obtained from an intent-to-treat analysis of all study entries, showed that inmates randomized into the MTC group had significantly lower rates of reincarceration compared with those in the MH group. The results also show that differences between the MTC + aftercare and comparison group across a variety of crime outcomes (i.e. any criminal activity, and alcohol or drug related criminal activity) are consistent and significant, and persist after an examination of various threats to validity (e.g. initial motivation, duration of treatment, exposure to risk). This study provides some support for the effectiveness of the prison TC only condition. The findings are encouraging and consonant with other studies of integrated prison and aftercare TC programs for substance abusing non-MICA offenders, although qualified by the possibility that selection bias (i.e. differences in motivation on entry into aftercare) may be operating. Nevertheless, given the available evidence and the need for effective programming for MICA offenders, program and policy makers should strongly consider developing integrated prison and aftercare modified TC programs for MICA offenders.     

Towards the feeling of emergence

Emergence is a multi-dimensional notion; the meanings it has acquired span the mythopoetic to the scientific, especially as found in complex systems. Examples of emergence in Navaho and Egyptian imagery underscore its diverse cultural origins and applications as well as suggesting an underlying archetypal quality to the core concept. A brief overview of the use of this term in science starting in the 17th century helps to locate the roots of modern emergent views in the philosophy of Leibniz. Jung's own use of early systems approaches was a part of his formulations of a 'third' position associated with the transcendent function. As this paper was delivered at the 50th anniversary conference of the Journal of Analytical Psychology, aspects of the emergence of the Journal within the contents of the first issue are explored. Attention is drawn to several articles, especially a case of brief child therapy done by Robert Moody. His approach to working his case is strikingly modern and vividly demonstrates principles of emergence within the clinical setting. Following this there is a discussion of some neuroscientific research on neural body maps, pointing to the experience of feelings as an emergent process. It is suggested that feelings derive from phase transitions in the brain's body mapping states. A reconsideration of a seeming impasse in the case described by Moody leads instead to a view of the initial phase of treatment as a pre-critical period. Research findings on mirror neurons are presented in terms of the feeling of empathy. Subjective feelings are then shown to be associated with moments of emergence, especially surprise and curiosity, exemplified by a case from the author's practice.     

Image analysis of small animal feeding behavior

The optimal design of behavioral experiments includes measures to minimize observer bias while maximizing researcher efficiency. To this end, we have developed a reliable, autonomous monitor of animal feeding behavior. Previous studies of caterpillar (Manduca sexta) feeding have relied on human observation for visual evaluation of food consumption at specific time points over the course of several hours. This method is eliminated by our newbehavior rig, which collects data automatically. Individual animals are monitored via CCD cameras activated in sequence by a computer. Images are obtained at preset time intervals using a frame grabber to capture still pictures from the cameras. Subsequently, images are analyzed using software written in MatLab to determine food selection and quantify consumption.     

Multivariate Extreme Value Distributions and Coverage of Ranking Probabilities

The main result in this paper is that the class of multivariate extreme value distributions, when used as random utility models, can approximate all ranking probability distributions. This extends Theorem 1 of Dagsvik (1995). Copyright 2001 Academic Press.     

COVID-19, Virtual Engagement and the Psychoid Imagination1

The impact of the COVID-19 pandemic on analytic training and the delivery of educational content is explored here. The proliferation of Zoom therapy and teaching is creating a post-human platform to which nearly everyone in contemporary society has had to adapt. Looking at the possible meanings of the pandemic, a psychoid factor (the virus) engaging the imagination has come to the fore as a response to climate change. The striking similarity to the H1N1 viral pandemic (“Spanish flu”) is noted, especially in the context of C. G. Jung having had a case in 1919 during which he experienced a number of visions and dreams. The imagery produced can be seen as an implicit attempt at “re-enchanting the world” found in The red book. Finally, a reconsideration of pedagogy in response to the pandemic is discussed with an eye to the archetypal aspects of internet communications.     

Discussion of Lewis Aron’s Paper for Dialogues

Lewis Aron’s creative paper is a psychoanalytic version of a Picaresque tale. Lew, a newly born psychoanalyst, and Al, his analysand companion, go their way together from birthday to birthday. On the journey they meet up with gurus from diverse places and theories. Each meeting adds the birth of a new perspective. My discussion takes up the richness and depth of Lew’s passage through life as the analyst of Al and Al’s passage through analytic insight.     

Multiplex Conflict: Examining the Effects of Overlapping Task and Relationship Conflict on Advice Seeking in Organizations

This study examines the extent to which multiplex conflict relationships, or those infused with both relationship and task conflict, are related to employee decisions regarding from whom to seek advice at work. Data were gathered from 75 employees in a medium-sized life sciences firm in the US Midwest and analyzed using social network analysis. Findings demonstrate that although employees were less likely to seek advice from someone with whom they experienced relationship conflict, employees were more likely to seek advice from those with whom they experienced task conflict. Moreover, advice was still sought from those with whom both forms of conflict were present simultaneously. The current study demonstrates that employees are willing to seek advice from those with whom there is task conflict despite the simultaneous presence of relationship conflict. Compared to relationships free of relationship conflict (e.g., friendships), those characterized by multiplex conflicts provide greater access to others with divergent perspectives while also reducing the need for advice seekers to invest resources towards the protection and maintenance of the positive affective portion of the relationship. Although much of the focus of conflict research has been directed towards intragroup task and relationship conflict, our multiplex social network approach provides a unique opportunity to explore the effects on advice seeking stemming from the co-occurrence of these distinct types of conflict within the same employee dyad. In doing so, we contribute to the continuing debate regarding the primacy of affective or cognitive concerns in judgment and behavior.