Equity: Effects of Input and Outcome Orientation on Taking, Giving, and Dividing Money

Participants who were more inclined to consider ambiguous work elements as inputs (input-oriented or Type-I persons) or as outcomes (outcome-oriented or Type-O persons) were presented with situations in which they had delivered a higher or lower work performance than another person. They were asked to take money for themselves, give money to the other person, and divide a fixed sum of money between themselves and the other as reward for the performances. The specific combination of (input or outcome) orientation of the participant and the type of transfer (giving, taking, or dividing) determined the reward the participant allocated to him- or herself and/or to the other person. Type-I persons showed an egocentric bias in their allocation behavior, whereas Type-O persons allocated according to a maximin strategy.     

A method for measuring and decomposing electoral bias for the three-party case, illustrated by the British case

The measurement of bias in election results, whereby one or more parties are advantaged in the translation of votes into seats at the expense of others, is attracting increasing attention. So far, almost all of the analytical work – aimed at both identifying the extent of bias in an election result and establishing its causes – has focused on either two-party systems or on the largest two parties in multi-party systems. Building on the firm foundations of one such approach, this paper introduces an original procedure for analysing bias in three-party systems using a readily-appreciated metric for both evaluating the degree of bias and decomposing it into the various causal factors. This is illustrated using the example of the 2005 British general election and a comparison of the results from two-party and three-party analyses of six recent elections there.     

Repositioning urban bias: Non-state providers' use of spatialised networks in Bangladesh

Urban bias theory predicts urban areas of developing countries receive disproportionately more resources than rural areas due to their concentration of numerically large, politically important “vote banks.” This has not been the case in Bangladesh. This study finds that this variation occurs due to non-state providers (NSPs) changing the landscape of resource allocation. Operating on the premise that state control leads to more services in urban areas, urban bias fails to account for NSPs as critical service providers. Employing a grounded theory strategy to explore urban-rural dynamics in service provision and to build on urban bias theory, this research highlights interactions between state and non-state actors. It argues that spatialized political networks, networks of formal and informal leadership more difficult to access in urban areas, influence the locality of service provision. Though NSPs recognize increased need in urban areas of Bangladesh, their interventions in those areas remain peripheral due to differing structures of government accountability and differing levels of community acceptance facilitating these networks. The need for NSPs to adapt their activities to restrictive governance mechanisms reflects the changing space for NSPs in the context of semi-democratic regimes.     

Feigning Hand Preference? A Case Report Preliminary Data

Hand preference may be crucial in the forensic domain, notably in cases where the assailant is known to be left‐handed and the defendant claims to be right‐handed (or vice versa). In such cases, forensic psychologists or physicians may be asked to test the hand preference of the defendant. However, hand preference may be faked. The case described here illustrates this problem and addresses potential solutions. We also present preliminary data showing that a standard instrument for measuring handedness is sensitive to feigning. We conclude that when hand preference is determined, multiple sources of information should be assessed in order to identify possible feigning.     

Perceived infallibility of detection dog evidence: implications for juror decision-making

This study focuses on the trust that potential jurors have in unsubstantiated evidence and the implications of such trust for legal decision-making. We examined whether participants’ motivation to think deeply (‘need for cognition,’ NC) and belief in science moderated their trust in potentially fallible detection dog evidence when selecting a verdict in a trial scenario. A detection dog twice indicated the presence of drugs in the scenario, yet no drugs were actually found. Those who chose a guilty verdict without drugs present featured stronger beliefs in detection dog evidence. They were also more confident that a dog alert indicated the presence of drugs, even though the scientific literature actually shows that detection dog evidence is subject to biases and other challenges to reliability. Our findings indicate that an unsubstantiated belief and trust in detection dog evidence may negatively influence juror decision-making, which may, in turn, pose consequences for fairness and justice. Participants believed that detection dogs provide powerful and reliable evidence, and these beliefs were clearly associated with stronger beliefs in science. These findings, therefore, raise serious concerns about jurors’ indiscriminate trust in forensic evidence, be it detection dog evidence or other lines of evidence presented in court.     

Diagnosing Crime and Diagnosing Disease: Bias Reduction Strategies in the Forensic and Clinical Sciences

Cognitive effort is an essential part of both forensic and clinical decision‐making. Errors occur in both fields because the cognitive process is complex and prone to bias. We performed a selective review of full‐text English language literature on cognitive bias leading to diagnostic and forensic errors. Earlier work (1970–2000) concentrated on classifying and raising bias awareness. Recently (2000–2016), the emphasis has shifted toward strategies for “debiasing.” While the forensic sciences have focused on the control of misleading contextual cues, clinical debiasing efforts have relied on checklists and hypothetical scenarios. No single generally applicable and effective bias reduction strategy has emerged so far. Generalized attempts at bias elimination have not been particularly successful. It is time to shift focus to the study of errors within specific domains, and how to best communicate uncertainty in order to improve decision making on the part of both the expert and the trier‐of‐fact.     

Ancestral Variation in Orbital Rim Shape: A Three‐Dimensional Pilot Study

Traditional nonmetric methods of ancestry assessment posit orbital rim shape varies among ancestral groups. This pilot study uses morphometric analysis of 3D orbital variation to test discrimination among individuals of primarily European, African, and Asian ancestry. Although the size and nature of the sample analyzed limit inferences for other samples, principal components analysis suggests ancestry has a significant effect on rim shape (p = 2.93e‐04). European orbits display more marked folding of the orbit in the sagittal plane than either African or Asian orbits, while the lateral margin of African orbits lies further posterior relative to the medial margin when compared to Asian orbits. The findings suggest curviplanar relationships are the most ancestrally informative aspect of orbital rim shape; these relationships may be distorted by perspective based on orientation of the skull relative to the viewer in traditional nonmetric analyses. Additional studies on geometric morphometric approaches to ancestry assessment are therefore warranted.     

A simulation for exploring the effects of the "trait list" method's subjectivity on consistency and accuracy of ancestry estimations

The nonmetric "trait list" methodology is widely used for estimating ancestry of skeletal remains. However, the effects of the method's embedded subjectivity on subsequent accuracy and consistency are largely unknown. We develop a mathematical simulation to test whether variation in the application of the "trait list" method alters the ancestry estimation for a given case. Our simulation explores how variations in (i) trait selection, (ii) number of traits employed, and (iii) ancestry choice thresholds affect the ancestry estimation of an unidentified skeleton. Using two temporally and geographically diverse samples, the simulation demonstrates that trait selection, trait quantity, threshold choices, and the exclusion of high-frequency traits had minimal effect on estimation of general ancestry. For all data sets and Runs, Accuracy(AS) was maintained above 90%. The authors close with a discussion on the logistical issues present when choosing traits, and how to avoid ancestry bias.     

Cascading Bias of Initial Exposure to Information at the Crime Scene to the Subsequent Evaluation of Skeletal Remains,

Thirty‐eight participants took part in a study that investigated the potential cascading effects of initial exposure to extraneous context upon subsequent decision‐making. Participants investigated a mock crime scene, which included the excavation of clandestine burials that had a male skeletal cast dressed either in female or gender neutral clothing. This was followed by a forensic anthropological assessment of the skeletal remains, with a control group assessing the same male skeletal cast without any clothing context. The results indicated that the sex assessment was highly dependent upon the context in which participants were exposed to prior to the analysis. This was especially noticeable in the female clothing context where only one participant determined the male skeletal cast to be male. The results demonstrate the importance of understanding the role of context in forensic anthropology at an early stage of an investigation and its potential cascading effect on subsequent assessments.     

Major depression – a study on the validity of clinicians’ diagnoses in medicolegal assessment

Major depression ranges among the most frequently diagnosed psychiatric disorders. Accordingly, diagnoses of depression are often underlying insurance, compensation or disability claims. This report evaluates the validity of clinicians’ diagnoses of major depression in a sample of claimants. In 2015, n = 127 consecutive cases were examined for medicolegal assessment. For all of them, a diagnosis of major depression had been established by clinicians. All testees underwent a psychiatric interview, a physical examination, they answered questionnaires for depressive symptoms according to DSM-5, embitterment disorder, post concussion syndrome (PCS) and unspecific somatic complaints. Performance and symptom validity tests were administered. Only 31% fulfilled the diagnostic criteria for DSM-5 major depression according to self-report, while none did so according to psychiatric assessment. Negative response bias was found in 64% of cases, feigned neurologic symptoms in 22%. Symptom exaggeration was indiscriminate rather than depression-specific. By self-report, 64% of the participants qualified for embitterment disorder and 93% for PCS. In conclusion, clinicians’ diagnoses of depression seem often confounded by improper assessment of the diagnostic criteria, confusion of depression with bereavement or embitterment and also by response bias.