Target Detection,Identification, and Marksmanship During Battlefield Noise in a Synthetic Environment

This study was conducted to determine the impact of noise on target detection, identification, and marksmanship (TDI&M) and to examine the effectiveness of a monetary reward to improve performance. Twenty active duty male soldiers participated in a non-reward and reward trial, each comprising three time blocks of two alternating 20-minute sessions, one with 87-dBA battlefield noise and the other relatively quiet. Each session involved 15 minutes of TDI&M testing followed by 5 minutes of rest. Neither noise, time on task, nor reward caused any noteworthy changes in TDI&M performance, except for foe target engagement time (ET). It appears that subjects purposely increased ET over the duration of the task to improve their hit accuracy but did not succeed in doing so. The monetary incentive to improve performance was also ineffective, because the subjects applied a similar “best” effort during the no-reward trial prior to this manipulation.     

The Role of Effort–Reward Imbalance for Reservists on a Military Deployment

The present study extended the effort–reward imbalance (ERI) model (Siegrist, 1996b Siegrist, J. 1996b. “Soziale Krisen und Gesundheit [Social crises and health]”. In Gesundheitspsychologie [Health psychology] Edited by: Krohne, H. W., Schmidt, L., Netter, P. and Schwarzer, R. Vol. 5, Göttingen, , Germany: Hogrefe.  [Google Scholar]), first by differentiating between separate reward components, second by including intrinsic reward, and third by additionally predicting a non-health outcome (i.e., turnover intention) in a military context. Regression analyses of 789 reservists found financial and esteem reward to moderate the impact of extrinsic effort on depressive symptoms, whereas only financial reward moderated the effort turnover intentions relationship. Results supported the usefulness of the extended ERI model in the military context. Relevant areas for future research on the military effort–reward perspective are discussed.     

A New Model for Acquiescence at the Interface of Psychometrics and Cognitive Psychology

ABSTRACT

When measuring psychological traits, one has to consider that respondents often show content-unrelated response behavior in answering questionnaires. To disentangle the target trait and two such response styles, extreme responding and midpoint responding, Böckenholt (2012a Böckenholt, U. (2012a). Modeling multiple response processes in judgment and choice. Psychological Methods, 17, 665–678. doi:10.1037/a0028111[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) developed an item response model based on a latent processing tree structure. We propose a theoretically motivated extension of this model to also measure acquiescence, the tendency to agree with both regular and reversed items. Substantively, our approach builds on multinomial processing tree (MPT) models that are used in cognitive psychology to disentangle qualitatively distinct processes. Accordingly, the new model for response styles assumes a mixture distribution of affirmative responses, which are either determined by the underlying target trait or by acquiescence. In order to estimate the model parameters, we rely on Bayesian hierarchical estimation of MPT models. In simulations, we show that the model provides unbiased estimates of response styles and the target trait, and we compare the new model and Böckenholt’s model in a recovery study. An empirical example from personality psychology is used for illustrative purposes.     

How Bias Reduction Is Affected by Covariate Choice,Unreliability, and Mode of Data Analysis: Results From Two Types of Within-Study Comparisons

This study uses within-study comparisons to assess the relative importance of covariate choice, unreliability in the measurement of these covariates, and whether regression or various forms of propensity score analysis are used to analyze the outcome data. Two of the within-study comparisons are of the four-arm type, and many more are of the three-arm type. To examine unreliability, simulations of differences in reliability are deliberately introduced into the 2 four-arm studies. Results are similar across the samples of studies reviewed with their wide range of non-experimental designs and topic areas. Covariate choice counts most, unreliability next most, and the mode of data analysis hardly matters at all. Unreliability has larger effects the more important a covariate is for bias reduction, but even so the very best covariates measured with a reliability of only .60 still do better than substantively poor covariates that are measured perfectly. Why regression methods do as well as propensity score methods used in several different ways is a mystery still because, in theory, propensity scores would seem to have a distinct advantage in many practical applications, especially those where functional forms are in doubt.     

A Unified Empirical Account of Responsibility Judgments*

Skeptical worries about moral responsibility seem to be widely appreciated and deeply felt. To address these worries—if nothing else to show that they are mistaken—theories of moral responsibility need to relate to whatever concept of responsibility underlies the worries. Unfortunately, the nature of that concept has proved hard to pin down. Not only do philosophers have conflicting intuitions; numerous recent empirical studies have suggested that both prosaic responsibility judgments and incompatibilist intuitions among the folk are influenced by a number of surprising factors, sometimes prompting apparently contradictory judgments. In this paper, we show how an independently motivated hypothesis about responsibility judgments provides a unified explanation of the more important results from these studies. According to this ‘Explanation Hypothesis’, to take an agent to be morally responsible for an event is to take a relevant motivational structure of the agent to be part of a significant explanation of the event. We argue that because of how explanatory interests and perspectives affect what we take as significant explanations, this analysis accounts for the puzzling variety of empirical results. If this is correct, the Explanation Hypothesis also provides a new way of understanding debates about moral responsibility.     

Rational intuition and understanding

Rational intuitions involve a particular form of understanding that gives them a special epistemic status. This form of understanding and its epistemic efficacy are not explained by several current theories of rational intuition, including Phenomenal Conservatism (Huemer, Skepticism and the veil of perception, 2001; Ethical intuitionism, 2005; Philos Phenomenol Res 74:30–55, 2007), Proper Functionalism (Plantinga, Warrant and proper function, 1993), the Competency Theory (Bealer Pac Philos Q 81:1–30, 2000; Sosa, A virtue epistemology, 2007) and the Direct Awareness View (Conee, Philos Phenomenol Res 4:847–857, 1998; Bonjour, In defense of pure reason, 1998). Some overlook it; others try to account for it but fail. We can account for the role of understanding in rational intuition by returning to the view of some of the early Rationalists, e.g. Descartes and Leibniz. While that view carries a prohibitive cost, it does contain an insight that may help us solve the problem of giving understanding its due.     

Short‐term cognitive‐behavioral treatment in multicultural primary care of patients with longstanding backache

The efficacy of cognitive‐behavioral therapy in multi‐cultural primary care patients with longstanding backache is not evaluated. The purpose of this study was to investigate the outcome of a four weekly‐treatment given by primary care physicians regarding pain‐related worry, depression and severe pain and to determine which social, clinical or gender factors were associated with outcome.The study group consisted of 245 patients in consecutive order from 19 countries, 18 to 45 years, entering rehabilitation program because of longstanding backache. Prevalences of pain‐related worry and depression and severe pain was counted and compared before and after. Logistic regression was used to calculate the odds (OR; 95% CI) for persistent pain‐related worry and/or persistent depression and severe pain (VAS ≥ 50). The prevalences of pain‐related worry and depression were both significantly lower after treatment (pain‐related worry 83% before vs. 38% after; depression 43% before vs. 31% after). Also the number of patients scoring ≥ 50 VAS was a little, but significantly, fewer (68% vs. 61%). Use of interpreter doubled the risk of having persistent pain‐related worry (OR 2.1; 95% CI 1.1–4.1) but the risk was not significant regarding persistent depression (OR 1.8; 0.6‐5.4). The rating of VAS rating ≥ 50 after treatment was twice as high, OR 2.3 (95% CI 1.1–4.6) in the 38–45 year old age group. To conclude, a focus on pain ideas reduced pain‐related worry and depression in these patients with various sociocultural backgrounds and longstanding backache.     

Bottled memories: On how alcohol affects eyewitness recall

This study investigated how different doses of alcohol affected eyewitness recall. Participants (N = 126) were randomly assigned to three groups with different blood alcohol concentration (BAC), either a control group (mean BAC 0.00%, N = 42), a lower alcohol dose group (mean BAC 0.04%, N = 40), or a higher alcohol dose group (mean BAC 0.06%, N = 44). After consumption, participants witnessed a movie of a mock crime and were interviewed one week later. The main results showed that witnesses with the higher intoxication level recalled fewer details compared to witnesses with the lower intoxication level. The amount of alcohol consumed did not have an impact on the accuracy rate. No sex differences were found. The results are discussed in the light of past research. We conclude that more studies are needed before recommendations can be made to an applied setting.     

Modelling Dyadic Interaction with Hawkes Processes

We apply the Hawkes process to the analysis of dyadic interaction. The Hawkes process is applicable to excitatory interactions, wherein the actions of each individual increase the probability of further actions in the near future. We consider the representation of the Hawkes process both as a conditional intensity function and as a cluster Poisson process. The former treats the probability of an action in continuous time via non-stationary distributions with arbitrarily long historical dependency, while the latter is conducive to maximum likelihood estimation using the EM algorithm. We first outline the interpretation of the Hawkes process in the dyadic context, and then illustrate its application with an example concerning email transactions in the work place.