In recent decades, economists have developed methods for measuring the country-wide level of inequality of opportunity. The most popular method, called the ex-ante method, uses data on the distribution of outcomes stratified by groups of individuals with the same circumstances, in order to estimate the part of outcome inequality that is due to these circumstances. I argue that these methods are potentially biased, both upwards and downwards, and that the unknown size of this bias could be large. To argue (...) that the methods are biased, I show that they ought to measure causal or counterfactual quantities, while the methods are only capable of identifying correlational information. To argue that the bias is potentially large, I illustrate how the causal complexity of the real world leads to numerous non-causal correlations between circumstances and outcomes and respond to objections claiming that such correlations are nonetheless indicators of unfair disadvantage, that is, inequality of opportunity. (shrink)

This paper considers two subjective measures of the existence of unconscious mental states - the guessing criterion, and the zero correlation criterion - and considers the assumptions underlying their application in experimental paradigms. Using higher order thought theory the impact of different types of biases on the zero correlation and guessing criteria are considered. It is argued that subjective measures of consciousness can be biased in various specified ways, some of which involve the relation between first order states and second (...) order thoughts, and hence are not errors in measurement of the conscious status of mental states; but other sorts of biases are measurement errors, involving the relation between higher order thoughts and their expression. Nonetheless, it is argued this type of bias does not preclude subjective measures - both the guessing criterion and the zero correlation criterion - as being amongst the most appropriate and useful tools for measuring the conscious status of mental states. (shrink)

Various experimental procedures aimed at measuring individual risk aversion involve a list of pairs of alternative prospects. We first study the widely used method by Holt and Laury :1644–1655, 2002), for which we find that the removal of some items from the lists yields a systematic decrease in risk aversion and scrambles the ranking of individuals by risk aversion. This bias, that we call embedding bias, is quite distinct from other confounds that have been previously observed in the (...) use of the HL method. It may be related to empirical phenomena and theoretical developments where better prospects increase risk aversion. Nevertheless, we also find that the more recent elicitation method due to Abdellaoui et al., also based on lists but using only one and the same probability in the list, does not display any statistically significant bias when the corresponding items of the list are removed. Our results suggest that methods other than the popular HL one may be preferable for the measurement of risk aversion. (shrink)

Although attentional bias is considered a key characteristic of anxiety problems, the psychometric properties of most AB measures are either problematic or unknown. We conducted two experiment...

Matching bias refers to the non-normative performance that occurs when elements mentioned in a rule do not correspond with those in a test item. One aim of the present work is to capture matching bias via reaction times as participants carry out truth-table evaluation tasks. Experiment 1 requires participants to verify conditional rules, and Experiment 2 to falsify them as the paradigm employs four types of conditional sentences that systematically rotate negatives in the antecedent and consequent; and presents (...) predominantly cases having true antecedents. These experiments reveal that mismatching is linked to higher rates of incorrect responses and slower evaluation times. A second aim is to investigate the way not is processed. We compare a narrow view of negations, which argues that negation only denies information, to a search for alternatives view, which says that negations function to prime appropriate alternatives. Findings from both experiments support a narrow reading view. (shrink)

Using self-report as a measure of conscious experience has been a point of contention in mind wandering research. Whereas prior work has focused on the introspective component of self-report validity, the current research introduces an honesty prime task to the current paradigm in order to assess the role of goal states and social factors on self-report accuracy. Findings provide evidence for an inflated report of mind wandering frequency arising from demand characteristics, intensified by the divergent properties of the subjective and (...) behavioural measures and the general deficit in meta-awareness of off task episodes. (shrink)

Student evaluations of teaching are ubiquitous in the academe as a metric for assessing teaching and frequently used in critical personnel decisions. Yet, there is ample evidence documenting both measurement and equity bias in these assessments. Student Evaluations of Teaching have low or no correlation with learning. Furthermore, scholars using different data and different methodologies routinely find that women faculty, faculty of color, and other marginalized groups are subject to a disadvantage in SETs. Extant research on bias (...) on teaching evaluations tend to review only the aspect of the literature most pertinent to that study. In this paper, we review a novel dataset of over 100 articles on bias in student evaluations of teaching and provide a nuanced review of this broad but established literature. We find that women and other marginalized groups do face significant biases in standard evaluations of teaching – however, the effect of gender is conditional upon other factors. We conclude with recommendations for the judicious use of SETs and avenues for future research. (shrink)

Many philosophers appeal to intuitions to support some philosophical views. However, there is reason to be concerned about this practice as scientific evidence has documented systematic bias in philosophically relevant intuitions as a function of seemingly irrelevant features (e.g., personality). One popular defense used to insulate philosophers from these concerns holds that philosophical expertise eliminates the influence of these extraneous factors. Here, we test this assumption. We present data suggesting that verifiable philosophical expertise in the free will debate-as measured (...) by a reliable and validated test of expert knowledge-does not eliminate the influence of one important extraneous feature (i.e., the heritable personality trait extraversion) on judgments concerning freedom and moral responsibility. These results suggest that, in at least some important cases, the expertise defense fails. Implications for the practice of philosophy, experimental philosophy, and applied ethics are discussed. (shrink)

Typical cosmological models are based on the postulate that space is homogeneous. Space however contains overdense regions in which matter is concentrating, leaving underdense regions of almost void. The evolution of the scale factor of the universe has been established from measurements on SNIa. Since such events occur in regions were matter is present, we may expect that most of the SNIa are located in overdense regions. This means that the evolution of the scale factor has been established in a (...) biased manner, by considering only information coming from overdense regions, excluding the one from the underdense regions. We develop a simple model to analyze the effect of this bias, and show that it leads to the appearance of a new tensor in the Einstein equation of general relativity, which can account for the apparent acceleration of the expansion of the universe. We further show that this tensor tends to be proportional to the FLRW metric tensor, and that the constant of proportionality quantitatively corresponds to the measured cosmological constant. We finally discuss the applicability of the bias to other probes used in determining the dynamics of the universe. (shrink)

What is the status of research on implicit bias? In light of meta‐analyses revealing ostensibly low average correlations between implicit measures and behavior, as well as various other psychometric concerns, criticism has become ubiquitous. We argue that while there are significant challenges and ample room for improvement, research on the causes, psychological properties, and behavioral effects of implicit bias continues to deserve a role in the sciences of the mind as well as in efforts to understand, and ultimately (...) combat, discrimination and inequality. (shrink)

Implicit biases involve associations outside conscious awareness that lead to a negative evaluation of a person on the basis of irrelevant characteristics such as race or gender. This review examines the evidence that healthcare professionals display implicit biases towards patients. PubMed, PsychINFO, PsychARTICLE and CINAHL were searched for peer-reviewed articles published between 1st March 2003 and 31st March 2013. Two reviewers assessed the eligibility of the identified papers based on precise content and quality criteria. The references of eligible papers were (...) examined to identify further eligible studies. Forty two articles were identified as eligible. Seventeen used an implicit measure, to test the biases of healthcare professionals. Twenty five articles employed a between-subjects design, using vignettes to examine the influence of patient characteristics on healthcare professionals’ attitudes, diagnoses, and treatment decisions. The second method was included although it does not isolate implicit attitudes because it is recognised by psychologists who specialise in implicit cognition as a way of detecting the possible presence of implicit bias. Twenty seven studies examined racial/ethnic biases; ten other biases were investigated, including gender, age and weight. Thirty five articles found evidence of implicit bias in healthcare professionals; all the studies that investigated correlations found a significant positive relationship between level of implicit bias and lower quality of care. The evidence indicates that healthcare professionals exhibit the same levels of implicit bias as the wider population. The interactions between multiple patient characteristics and between healthcare professional and patient characteristics reveal the complexity of the phenomenon of implicit bias and its influence on clinician-patient interaction. The most convincing studies from our review are those that combine the IAT and a method measuring the quality of treatment in the actual world. Correlational evidence indicates that biases are likely to influence diagnosis and treatment decisions and levels of care in some circumstances and need to be further investigated. Our review also indicates that there may sometimes be a gap between the norm of impartiality and the extent to which it is embraced by healthcare professionals for some of the tested characteristics. Our findings highlight the need for the healthcare profession to address the role of implicit biases in disparities in healthcare. More research in actual care settings and a greater homogeneity in methods employed to test implicit biases in healthcare is needed. (shrink)

Our understanding of implicit bias and how to measure it has yet to be settled. Various debates between cognitive scientists are unresolved. Moreover, the public’s understanding of implicit bias tests continues to lag behind cognitive scientists’. These discrepancies pose potential problems. After all, a great deal of implicit bias research has been publicly funded. Further, implicit bias tests continue to feature in discourse about public- and private-sector policies surrounding discrimination, inequality, and even the purpose of science. (...) We aim to do our part by reconstructing some of the recent arguments in ordinary language and then revealing some of the operative norms or values that are often hidden beneath the surface of these arguments. This may help the public learn more about the science of implicit bias. It may also help both laypeople and scientists reflect on the values, interests, and stakeholders involved in establishing, justifying, and communicating scientific research. (shrink)

The aim of this study was threefold: First, to examine the dimensionality of the construct of General Academic Ability at the subscale level providing additional insights over and above on the conceptualization of the construct. Second, to explore different degrees of measurement invariance of the GAA across gender using more recent advancements in the examination of Measurement Invariance. Third, to examine gender differences across the different facets of the GAA at the latent mean level. The sample consisted of (...) 1,800 high school graduates who applied for higher education in Saudi Arabia. The results from the analysis indicated that the hierarchical model with one higher-order factor and four lower-order cognitive factors exhibited an excellent fit to the data. In terms of the measurement invariance hypothesis, it was found that the hierarchical model exhibits full configural and metric invariance and partial scalar invariance. Finally, using the Latent Mean Difference procedure, the results showed gender differences in the Verbal and GPA domains. Although significant differences were also found in the Scholastic aptitude domain, this finding is not stable due to several non-invariant items within the domain. In both cases, females scored higher than males. Finally, regarding the higher-order factor, the results showed that females scored higher than males. There were no significant differences in the Quantitative domain. (shrink)

We identify several ongoing debates related to implicit measures, surveying prominent views and considerations in each debate. First, we summarize the debate regarding whether performance on implicit measures is explained by conscious or unconscious representations. Second, we discuss the cognitive structure of the operative constructs: are they associatively or propositionally structured? Third, we review debates whether performance on implicit measures reflects traits or states. Fourth, we discuss the question of whether a person’s performance on an implicit measure reflects characteristics of (...) the person who is taking the test or characteristics of the situation in which the person is taking the test. Finally, we survey the debate about the relationship between implicit measures and (other kinds of) behavior. (shrink)

Recent empirical work attempts to investigate how implicit biases target those facing intersectional oppression. This is welcome, since early work on implicit biases focused on single axes of discrimination, such as race, gender, or age. However, the success of such empirical work on how biases target those facing intersectional oppressions depends on adequate conceptualizations of intersectionality and empirical measures that are responsive to these conceptualizations. Surveying prominent recent empirical work, we identify failures in conceptualizations of intersectionality that inform the design (...) of empirical measures. These failures generate unsupported conclusions about the kinds of biases that those experiencing multiple oppressions face, and render proposed interventions to combat biases useless at best, harmful at worst. We also diagnose unwarranted assumptions about how stereotypes combine in complex concepts: first, that when “simple” social concepts combine the complex concepts inherit the associated stereotypes of their simpler constituent concepts; second that studies which focus on cognition about single social categories are investigating “simple” social concepts (cf. Goff and Khan 2013). We tease out recommendations to guide future investigations into biases that target those who experience multiple oppressions. (shrink)

The increasing debate on corporate ethics raises the question of whether consumers are willing to reward and punish corporate behaviour based on its ethicality. In this context, this article investigates the direct effect on consumers' willingness to pay. Price response to product-related ethical information is explored in an experiment dealing with social issues in sportswear and environmental issues in consumer electronics. It is shown that in both areas, consumers demonstrate an increased willingness to pay for ethically produced goods. However, the (...) response is subject to a negativity bias. In contrast to prior research that used abstract stimulus measures, a ratio for quantifying this bias is suggested based on consumers' willingness to pay and their price expectations. This measure allows us to analyse a consumer's individual bias. (shrink)

The increasing debate on corporate ethics raises the question of whether consumers are willing to reward and punish corporate behaviour based on its ethicality. In this context, this article investigates the direct effect on consumers' willingness to pay. Price response to product‐related ethical information is explored in an experiment dealing with social issues in sportswear and environmental issues in consumer electronics. It is shown that in both areas, consumers demonstrate an increased willingness to pay for ethically produced goods. However, the (...) response is subject to a negativity bias. In contrast to prior research that used abstract stimulus measures, a ratio for quantifying this bias is suggested based on consumers' willingness to pay and their price expectations. This measure allows us to analyse a consumer's individual bias. (shrink)

ABSTRACTTwo studies aimed to examine whether high socially anxious individuals are more likely to negatively interpret ambiguous social scenarios and facial expressions compared to low socially anxious individuals. We also examined whether interpretation bias serves as a mediator of the relationship between trait social anxiety and state anxiety responses, in particular current state anxiety, bodily sensations, and perceived probability and cost of negative evaluation pertaining to a speech task. Study 1 used ambiguous social scenarios and Study 2 used ambiguous (...) facial expressions as stimuli to objectively assess interpretation bias. Undergraduate students with high and low social anxiety completed measures of state anxiety responses at three time points: baseline, after the interpretation bias task, and after the preparation for an impromptu speech. Results showed that high socially anxious individuals were more likely to endorse threat interpretations for ambiguous social scenarios and to interpret ambi... (shrink)

People seem to have pure time preferences about trade-offs concerning their own pleasures and pains, and such preferences contribute to estimates of people's individual time discount rate. Do pure time preferences also matter to interpersonal welfare trade-offs, including those concerning the welfare of future generations? Most importantly, should the intergenerational time discount rate include a pure time preference? Descriptivists claim that the intergenerational discount rate should reflect actual people's revealed preferences, and thus it should include a pure time preference. Prescriptivists (...) claim that the intergenerational discount rate should be based on moral analysis, and thus they (often) claim that the rate of pure time preference should be zero. I argue that regardless of which view is correct, a focus on pure time preference is misplaced. First, the most plausible interpretation of descriptive preferences for intergenerational trade-offs is that people are socially biased and not time biased. Second, social bias is superior to time bias as a prescriptive reason to discount the welfare of future people. Third, recent advances in measuring social bias as a social discount rate make social bias a viable replacement for time bias in economic analyses of intergenerational welfare trade-offs. (shrink)

Individual differences have been neglected in decision-making research on heuristics and cognitive biases. Addressing that issue requires having reliable measures. The author first reviewed the research on the measurement of individual differences in cognitive biases. While reliable measures of a dozen biases are currently available, our review revealed that some measures require improvement and measures of other key biases are still lacking (e.g., confirmation bias). We then conducted empirical work showing that adjustments produced a significant improvement of some (...) measures and that confirmation bias can be reliably measured. Overall, our review and findings highlight that the measurement of individual differences in cognitive biases is still in its infancy. In particular, we suggest that contextualized (in addition to generic) measures need to be improved or developed. (shrink)

It has been argued that people in areas with high pathogen loads will be more likely to avoid outsiders, to be biased in favor of in-groups, and to hold collectivist and conformist values. Cross-national studies have supported these predictions. In this paper we provide new pathogen codes for the 186 cultures of the Standard Cross-Cultural Sample and use them, together with existing pathogen and ethnographic data, to try to replicate these cross-national findings. In support of the theory, we found that (...) cultures in high pathogen areas were more likely to socialize children toward collectivist values (obedience rather than self-reliance). There was some evidence that pathogens were associated with reduced adult dispersal. However, we found no evidence of an association between pathogens and our measures of group bias (in-group loyalty and xenophobia) or intergroup contact. (shrink)

We tested the hypothesis that choices determined by Type 1 processes are compelling because they are fluent, and for this reason they are less subject to analytic thinking than other answers. A total of 104 participants completed a modified version of Wason's selection task wherein they made decisions about one card at a time using a two-response paradigm. In this paradigm participants gave a fast, intuitive response, rated their feeling of rightness for that response, and were then allowed free time (...) to reconsider their answers. As we predicted, answers consistent with a matching heuristic were made more quickly than other answers, were given higher FOR ratings, and received less subsequent analysis as measured by rethinking time and the probability of changing answers. These data suggest that reasoning biases may be compelling because they are fluently generated; this is turn creates a strong FOR, which acts as a signal that further analysis is not necessary. (shrink)

Aims: Attentional bias, alcohol craving, and anxiety have important implications in the development and maintenance of alcohol use disorder. The current study aims to test the effectiveness of a Virtual Reality Cue-Exposure Therapy to reduce levels of alcohol craving and anxiety and prompt changes in AB toward alcohol content.Method: A 49-year-old male participated in this study, diagnosed with severe AUD, who also used tobacco and illicit substances on an occasional basis and who made several failed attempts to cease substance (...) misuse. The protocol consisted of six VR-CET booster sessions and two assessment sessions over the course of 5 weeks. The VR-CET program consisted of booster therapy sessions based on virtual reality exposure to preferred alcohol-related cues and contexts. The initial and final assessment sessions were focused on exploring AB, alcohol craving, and anxiety using paper-and-pencil instruments and the eye-tracking and VR technologies at different time points.Results: Pre and post assessment sessions indicated falls on the scores of all instruments assessing alcohol craving, anxiety, and AB.Conclusions: This case report, part of a larger project, demonstrates the effectiveness of the VR-CET booster sessions in AUD. In the post-treatment measurements, a variety of instruments showed a change in the AB pattern and an improvement in craving and anxiety responses. As a result of the systematic desensitization, virtual exposure gradually reduced the responses to significant alcohol-related cues and contexts. The implications for AB, anxiety and craving are discussed. (shrink)

Some philosophers working on the epistemology of disagreement claim that conciliationist responses to peer disagreement embody a kind of intellectual humility. Others contend that standing firm or ‘sticking to one's guns’ in the face of peer disagreement may stem from an admirable kind of courage or internal fortitude. In this paper, we report the results of two empirical studies that examine the relationship between conciliationist and steadfast responses to peer disagreement, on the one hand, and virtues such as intellectual humility, (...) courage, grit, and actively open-minded thinking, on the other. We observed positive correlations between measures of conciliationism, intellectual humility, and actively open-minded thinking but failed to find any reliable association between steadfastness, courage, and grit. Our studies reveal that there are at least two important intellectual virtues associated with conciliationist responses to peer disagreement (viz., intellectual humility and actively open-minded thinking) and two vices associated with steadfast responses (intellectual arrogance and myside bias). These findings shed new light on the overall epistemic goodness of the conciliationist perspective. (shrink)

The question of quantifying the sharpness (or unsharpness) of a quantum mechanical effect is investigated. Apart from sharpness, another property, bias, is found to be relevant for the joint measurability or coexistence of two effects. Measures of bias will be defined and examples given.

Attention is biased towards threat-related stimuli. In three experiments, we investigated the mechanisms, processes, and time course of this processing bias. An emotional flanker task simultaneously presented affective or neutral pictures from the international affective picture system database either as central response-relevant stimuli or surrounding response-uninformative flankers. Participants’ response times to central stimuli was measured. The attentional bias was observed when stimuli were presented either for 1500 ms or 500 ms. The threat-related attentional bias held regardless of (...) the stimuli competing for attention even when presentation time was further reduced to 200 ms. The results indicate that automatic and controlled mechanisms may interact to modulate the orientation of attention to threat. The data presented here shed new light on the mechanisms, processes, and time course of this long investigated by still largely unknown processing bias. (shrink)

Some philosophers working on the epistemology of disagreement claim that conciliationist responses to peer disagreement embody a kind of intellectual humility. Others contend that standing firm or “sticking to one’s guns” in the face of peer disagreement may stem from an admirable kind of courage or internal fortitude. In this paper, we report the results of two empirical studies that examine the relationship between conciliationist and steadfast responses to peer disagreement, on the one hand, and virtues such as intellectual humility, (...) courage, grit, and actively open-minded thinking, on the other. We observed positive correlations between measures of conciliationism, intellectual humility, and actively open-minded thinking but failed to find any reliable association between steadfastness, courage, and grit. Our studies reveal that there are at least two important intellectual virtues associated with conciliationist responses to peer disagreement (viz., intellectual humility and actively open-minded thinking) and two vices associated with steadfast responses (intellectual arrogance and myside bias). These findings shed new light on the overall epistemic goodness of the conciliationist perspective. -/- keywords: disagreement, conciliationism, steadfastness, intellectual humility, courage, actively open-minded thinking. (shrink)

Research programs in empirical psychology over the past few decades have led scholars to posit implicit biases. This is due to the development of innovative behavioural measures that have revealed aspects of our cognitions which may not be identified on self-report measures requiring individuals to reflect on and report their attitudes and beliefs. But what does it mean to characterise such biases as implicit? Can we satisfactorily articulate the grounds for identifying them as bias? And crucially, what sorts of (...) cognitions are in fact being measured; what mental states or processes underpin such behavioural responses? In this paper, we outline some of the philosophical and empirical issues engaged when attempting to address these three questions. Our aim is to provide a constructive taxonomy of the issues, and how they interrelate. As we will see, any view about what implicit bias is may depend on a range of prior theoretical choices. (shrink)

Michael Brownstein, Alex Madva, and Bertram Gawronski articulate a careful defense of research on implicit bias. They argue that though there is room for improvement in various areas, when we set the bar appropriately and when we are comparing relevant events, the test–retest stability and predictive ability of implicit bias measures are respectable. Edouard Machery disagrees. He argues that theories of implicit bias have failed to answer four fundamental questions about measures of implicit bias, and this (...) undermines their utility in further scientific research and policy making. In this article, I offer my perspective on this important debate. I argue that there is a theoretical mismatch in debating the merits of a research program on the terms of a specific theory within the research program. Nevertheless, the discussion allows us to see which questions are answered from within the perspective of a particular theory. I argue that the emphasis should be on whether implicit bias theories predict novel facts. (shrink)

The fact that causal laws in the social sciences are most realistically expressed as both multivariate and stochastic has a number of very important implications for indirect measurement and generalizability. It becomes difficult to link theoretical definitions of general constructs in a one-to-one relationship to research operations, with the result that there is conceptual slippage in both experimental and nonexperimental research. It is argued that problems of this nature can be approached by developing specific multivariate causal models that incorporate (...) sources of measurement bias, along with the theoretical variables of interest. Many general concepts are defined in such a way that causal assumptions are built into the definitions themselves. Additionally, in any given piece of research it is necessary to omit many variables from consideration, and this is often done without careful consideration of the assumptions required to justify such omissions. Finally, generalization to more inclusive populations or a diversity of settings ordinarily requires one to replace constants by variables. It is concluded that the criteria of parsimony, generalizability, and precision are incompatible, given the multivariate nature of social causation, and the author expresses his own preference for sacrificing parsimony in favor of the objectives of achieving increased precision and generalizability of social science laws. (shrink)

Social desirability bias (SDB) is one of the main concerns in self-reported studies that measures explicit attitudes such as ethics research. Although SDB was introduced since the early 1950s, little effort has been made to understand the necessity of including an SDB scale in studies of sensitive topics such as ethics. The purpose of this paper was to (1) identify whether current ethics-related studies considered SDB when conducting their research and (2) ascertain whether SDB was a significant variable in (...) such studies. This investigation takes the form of a systematic review of articles published within the last 20 years in well-known business ethics journals (2000–2019). We found that (a) only 13.67% of ethics research measured SDB; (b) although the majority of the reviewed articles were from the West, researchers in Asia have also made significant progress in recent years in measuring SDB in their studies; (c) SDB was used mainly as a control variable and as such researchers preferred scales with fewer items; and (d) SDB was unavoidable even when using online surveys. Based on our findings, we attempt to provide an overview of SDB in ethics research and encourage ethics researchers who adopt self-reported surveys to include an SDB measurement in their studies to control SDB. (shrink)

ABSTRACTNew methods of calculating indices from the dot-probe task measure temporal dynamics in attention bias or fluctuations in attention bias towards and away from emotional stimuli over time. H...

Objectives: To investigate whether different methods of obtaining informed consent affected recruitment to a study of delirium in older, medically ill hospital inpatients.Design: Open randomised study.Setting: Acute medical service for older people in an inner city teaching hospital.Participants: Patients 70 years or older admitted to the unit within three days of hospital admission randomised into two groups.Intervention: Attempted recruitment of subjects to a study of the natural history of delirium. This was done by either a formal test of capacity, followed (...) by either a request for consent or an attempt at obtaining assent from a proxy, or a combined informal capacity/consent process.Main outcome measures: Prevalence and severity of delirium, and, as case mix measures, length of hospital stay and destination on discharge.Results: Recruitment of subjects through establishing formal capacity and then informed consent was less successful and, compared with those recruited through the usual combined capacity/consent approach, yielded a sample with less cognitive impairment, lower severity of delirium, lower probability of case note diagnosis of delirium and lower rate of entering a care home.Conclusions: Methods of obtaining informed consent may significantly influence the case mix of subjects recruited to a study of delirium. Stringent testing of capacity may exclude patients with delirium from studies, thus rendering findings less generalisable. A different method is necessary to achieve an ethical balance between respecting autonomy through obtaining adequate informed consent and avoiding sample bias. (shrink)

Measures of algorithmic bias can be roughly classified into four categories, distinguished by the conditional probabilistic dependencies to which they are sensitive. First, measures of "procedural bias" diagnose bias when the score returned by an algorithm is probabilistically dependent on a sensitive class variable (e.g. race or sex). Second, measures of "outcome bias" capture probabilistic dependence between class variables and the outcome for each subject (e.g. parole granted or loan denied). Third, measures of "behavior-relative error (...) class='Hi'>bias" capture probabilistic dependence between class variables and the algorithmic score, conditional on target behaviors (e.g. recidivism or loan default). Fourth, measures of "score-relative error bias" capture probabilistic dependence between class variables and behavior, conditional on score. Several recent discussions have demonstrated a tradeoff between these different measures of algorithmic bias, and at least one recent paper has suggested conditions under which tradeoffs may be minimized. -/- In this paper we use the machinery of causal graphical models to show that, under standard assumptions, the underlying causal relations among variables forces some tradeoffs. We delineate a number of normative considerations that are encoded in different measures of bias, with reference to the philosophical literature on the wrongfulness of disparate treatment and disparate impact. While both kinds of error bias are nominally motivated by concern to avoid disparate impact, we argue that consideration of causal structures shows that these measures are better understood as complicated and unreliable measures of procedural biases (i.e. disparate treatment). Moreover, while procedural bias is indicative of disparate treatment, we show that the measure of procedural bias one ought to adopt is dependent on the account of the wrongfulness of disparate treatment one endorses. Finally, given that neither score-relative nor behavior-relative measures of error bias capture the relevant normative considerations, we suggest that error bias proper is best measured by score-based measures of accuracy, such as the Brier score. (shrink)

There is convincing evidence of the transmission of anxiety and depression from parents to children; however, mechanisms by which this vulnerability is passed on are unclear. Cognitive models and a small body of cross-sectional research suggest that parental attention biases may be one mechanism involved in transmission. Longitudinal associations of maternal and offspring ABs with offspring symptoms have been scarcely studied. Forty-three mothers–child dyads were included. All children were diagnosis-free while 24 mothers had a lifetime emotional disorder and 19 mothers (...) had no psychiatric diagnoses. This study examined cross-sectional and longitudinal associations of maternal and child AB and child anxiety symptomology at initial and 12-month assessments. ABs were assessed using a visual-probe task with emotional faces. There was a significant cross-sectional but not longitudinal association of increased child anxiety symptoms with increased maternal threat AB for HR but not LR dyads. At the cross-sectional level, increases in HR but not LR offspring anxiety symptomology were associated with maternal threat AB. Larger longitudinal studies are required that examine the interplay between parent–child variables and include multiple time-points of assessment and measures of AB. (shrink)

Cesario provides a compelling critique of the use of experimental social psychology to explain real-world group disparities. We concur with his targeted critique and extend “the problem of missing information” to another common measures of bias. We disagree with Cesario's broader argument that the entire enterprise be abandoned, suggesting instead targeted utilization. Finally, we question whether the critique is appropriately directed at experimental social psychologists.

Well-being measurements are frequently used to support conclusions about a range of philosophically important issues. This is a problem, because we know too little about the intervals of the relevant scales. I argue that it is plausible that well-being measurements are non-linear, and that common beliefs that they are linear are not truth-tracking, so we are not justified in believing that well-being scales are linear. I then argue that this undermines common appeals to both hypothetical and actual well-being measurements; I (...) first focus on the philosophical literature on prioritarianism and then discuss Kahneman’s Peak-End Rule as a systematic bias. Finally, I discuss general implications for research on well-being, and suggest a better way of representing scales. (shrink)

While rapid advances in artificial intelligence hiring tools promise to transform the workplace, these algorithms risk exacerbating existing biases against marginalized groups. In light of these ethical issues, AI vendors have sought to translate normative concepts such as fairness into measurable, mathematical criteria that can be optimized for. However, questions of disability and access often are omitted from these ongoing discussions about algorithmic bias. In this paper, I argue that the multiplicity of different kinds and intensities of people’s disabilities (...) and the fluid, contextual ways in which they manifest point to the limits of algorithmic fairness initiatives. In particular, existing de-biasing measures tend to flatten variance within and among disabled people and abstract away information in ways that reinforce pathologization. While fair machine learning methods can help mitigate certain disparities, I argue that fairness alone is insufficient to secure accessible, inclusive AI. I then outline a disability justice approach, which provides a framework for centering disabled people’s experiences and attending to the structures and norms that underpin algorithmic bias. (shrink)

Social desirability bias is a pervasive measurement challenge in the social sciences and survey research. More clarity is needed to understand the performance of social desirability scales in diverse groups, contexts, and cultures. The present study aims to contribute to the international literature on social desirability measurement by examining the psychometric performance of a short version of the Marlowe-Crowne Social Desirability Scale in a nationally representative sample of teachers in Kazakhstan. A total of 2,461 Kazakhstani teachers completed (...) the MCSDS – Form C in their language of choice. The results failed to support the theoretical unidimensionality of the original scale. Instead, the results of Random Intercept Item Factor Analysis model suggest that the scale answers depend more on the method factor rather than the substantial factor that represents SDB. In addition, an alternative explanation indicates that the scale seems better suited to measuring two SDB correlated factors: attribution and denial. Internal consistency coefficients demonstrated unsatisfactory reliability scores for the two factors. The Kazakhstani version of the MCSDS – Form C was invariant across geographic location, language, and partially across age groups. However, no measurement invariance was demonstrated for gender. Despite these limitations, the analysis of the Kazakhstani version of the MCSDS – Form C presented in this study constitutes a first step in facilitating further research and measurement of SDB in post-Soviet Kazakhstan and other collectivist countries. (shrink)