The Enduring Influence of Religion on Senators’ Legislative Behavior

Does a senator's personal religion influence their legislative behavior in the Senate? To date, empirical research has answered this question only using senators’ religious traditions, while more concurrent work implies that religion should be measured as a multifaceted phenomenon. This study tests this proposition by compiling a unique data set of senators’ religion, conceptualized and measured by three different elements—belonging, beliefs, and behavior. The study estimates the association between these three religious facets and senators’ legislative behavior on economic, social, and foreign policy issues, while controlling for their constituencies’ political and religious preferences. It finds that religious beliefs are a strong predictor of senators’ legislative behavior, while religious tradition and behavior are mostly not. Furthermore, it finds that religious beliefs are associated with legislative behavior across a wide array of policy areas and are not confined to sociocultural issues.     

Decomposition Proof Systems for Gödel-Dummett Logics

The main goal of the paper is to suggest some analytic proof systems for LC and its finite-valued counterparts which are suitable for proof-search. This goal is achieved through following the general Rasiowa-Sikorski methodology for constructing analytic proof systems for semantically-defined logics. All the systems presented here are terminating, contraction-free, and based on invertible rules, which have a local character and at most two premises.     

Maternal Personality and Distress as Predictors of Child Neglect

Previous studies suggest that maternal personality problems predict child neglect. However, these studies have not distinguished between the common and unique contributions of various maternal personality dimensions, nor have they compared the contribution of maternal personality with maternal emotional distress. The current study addresses these issues using data collected by James Gaudin and distributed by the National Data Archive on Child Abuse and Neglect at Cornell University. Information was extracted on 94 neglectful and 101 comparison mothers. Logistic regression analyses revealed that a composite score reflecting maternal empathic capacity inversely predicted child neglect, whereas maternal depressive symptoms and loneliness did not. Results are discussed in terms of the importance of distinguishing between common and unique contributions of maternal personality dimensions to clinical and social outcomes and in terms of the relative contribution of maternal personality and emotional distress to child neglect.     

The subjective–agentic personality sector (SAPS): Introduction to the special issue on self,identity, and psychopathology

This special issue is predicated upon the premise that there exists a subjective–agentic personality sector (SAPS) that is crucially relevant to the understanding and treatment of psychopathology. SAPS is often overlooked by “trait” models in personality psychology. It is comprised of “hot” cognitions about one's self and identity as they unfold throughout the life span and are brought to bear on interpersonal relationships. There are four ways in which SAPS may be involved in psychopathology: (a) inherently, as a component of psychiatric disorders, (b) as a passive vulnerability dimension, namely by interacting with life stress, (c) as an active vulnerability dimension, that is, by propelling external situations that culminate in psychopathology, and (d) by constituting a central consequent of psychopathology (i.e., the scarring pattern, see below). In this Journal of Personality special issue, experts in personality and psychopathology demonstrate the centrality of SAPS in unipolar depression, anxiety disorders, bipolar spectrum disorder, eating disorders, posttraumatic stress disorder, complex trauma and borderline personality disorder, social anxiety disorder, suicidality in the context of mood disorders, and recovery from schizophrenia. A commentary by Dan McAdams, a leader in the study of self and identity, concludes this special issue.     

Evolutionary Debunking Arguments Meet Evolutionary Science

Evolutionary debunking arguments appeal to selective etiologies of human morality in an attempt to undermine moral realism. But is morality actually the product of evolution by natural selection? Although debunking arguments have attracted considerable attention in recent years, little of it has been devoted to whether the underlying evolutionary assumptions are credible. In this paper, we take a closer look at the evolutionary hypotheses put forward by two leading debunkers, namely Sharon Street and Richard Joyce. We raise a battery of considerations, both empirical and theoretical, that combine to cast doubt on the plausibility of both hypotheses. We also suggest that it is unlikely that there is in the vicinity a plausible alternative hypothesis suitable for the debunker's cause.     

Individual Differences in Learning Abilities Impact Structure Addition: Better Learners Create More Structured Languages

Over the last decade, iterated learning studies have provided compelling evidence for the claim that linguistic structure can emerge from non-structured input, through the process of transmission. However, it is unclear whether individuals differ in their tendency to add structure, an issue with implications for understanding who are the agents of change. Here, we identify and test two contrasting predictions: The first sees learning as a pre-requisite for structure addition, and predicts a positive correlation between learning accuracy and structure addition, whereas the second maintains that it is those learners who struggle with learning and reproducing their input who add structure to it. This prediction is hard to test in standard iterated learning paradigms since each learner is exposed to a different input, and since structure and accuracy are computed using the same test items. Here, we test these contrasting predictions in two experiments using a one-generation artificial language learning paradigm designed to provide independent measures of learning accuracy and structure addition. Adults (N = 48 in each study) were exposed to a semi-regular language (with probabilistic structure) and had to learn it: Learning was assessed using seen items, whereas structure addition was calculated over unseen items. In both studies, we find a strong positive correlation between individuals' ability to learn the language and their tendency to add structure to it: Better learners also produced more structured languages. These findings suggest a strong link between learning and generalization. We discuss the implications of these findings for iterated language models and theories of language change more generally.     

Long term course of chronic posttraumatic stress disorder in traffic accident victims: a three-year prospective follow-up study

The purpose of the present study was to gather prospective longitudinal data on the long-term course and outcome of chronic posttraumatic stress disorder (PTSD). The target population for this study was 74 injured traffic accident victims who had been previously followed-up for one year after the trauma. Nineteen of the original 24 PTSD subjects (79%) and 39 of the original 50 Non-PTSD subjects (78%) were available for this study, which took place during the fourth year after the accident. Our results show that 10 (53%) of the 19 patients with PTSD at one-year still suffered from PTSD after another two-year follow-up interval, while 9 recovered from PTSD during this follow-up period. Only 2 of the 39 without PTSD at one year developed delayed onset PTSD. The best predictor of recovery from chronic PTSD was the initial level of posttraumatic reaction immediately after the accident. These results demonstrate that spontaneous recovery from PTSD can occur even among patients who are currently considered chronic. Severity of initial reaction to the trauma appears to be a major risk factor for non-remitting chronic PTSD.     

Psychoanalysis--with whom, for what, and how? Comparisons with psychotherapy

If psychoanalytic treatment is to survive in the era of evidence-based medicine and managed care systems, empirical evidence is needed to demonstrate its unique nature and effectiveness. To address this need, comprehensive analyses were conducted of data from the Menninger Psychotherapy Research Project (Wallerstein 1986). These analyses addressed three questions: (1) What are the differences in outcome between psychoanalysis (PSA) and supportive-expressive psychotherapy (SEP)? (2) With what types of patient, and in what ways, are these two psychodynamic treatments differentially effective? (3) Are these differences in outcome the consequence of possibly different mechanisms of therapeutic action? PSA was found to contribute significantly to the development of adaptive interpersonal capacities and to the reduction of maladaptive interpersonal tendencies, especially with more ruminative, self-reflective, introjective patients, possibly by extending their associative capacities. SEP, by contrast, was effective only in reducing maladaptive interpersonal tendencies and only with dependent, unreflective, more affectively labile anaclitic patients, possibly by containing or limiting their associative capacities.