Checking ID‐cards for the sale of restricted goods: Age decisions bias face decisions

Matching unfamiliar faces is highly error‐prone, and most studies highlight the implications for real‐world ID‐checking. Here we study a particular instance of ID‐checking: proof of age for buying restricted goods such as alcohol. In this case, checkers must establish that an identity document is carried by its legitimate owner (i.e., that the ID photo matches the face of the bearer) and that the ID proves the bearer to be old enough to make the purchase. Across three experiments, using two common forms of photo‐ID (i.e., driving licenses, PASS+ cards) we show that observers produce very high error rates when age requirements are met, but faces mismatch. This bias away from detecting a face mismatch remained evident in experienced cashiers—though to a somewhat attenuated level. We discuss interactions between face matching and other tasks, and the practical consequences of a bias which favours those using photo‐ID with fraudulent intent.     

Effects of interactional justice on egocentric bias in resource allocation decisions

Three studies demonstrated that interactional justice was able to attenuate egocentric bias, i.e., the tendency to regard a larger share for oneself as fair. Study 1, an experimental study of negotiation, showed that fair interpersonal treatment led to a smaller egocentric bias, quicker settlements, and fewer stalemates. Study 2 showed that fair treatment was related to a smaller egocentric bias in a real-life context. University students were more willing to accept a higher tuition fee and less willing to cut the salary of their teachers if the interpersonal treatment received from the teachers was more positive. Study 3 showed experimentally that in support of fairness heuristic theory, when the fair interpersonal treatment received could be attributed externally, its attenuating effect on the egocentric bias disappeared.     

Motherhood: a potential source of bias in employment decisions

Results of 2 experimental studies in which job incumbents were said to be applying for promotions to traditionally male positions demonstrated bias against mothers in competence expectations and in screening recommendations. This bias occurred regardless of whether the research participants were students (Study 1) or working people (Study 2). Although anticipated job commitment, achievement striving, and dependability were rated as generally lower for parents than for nonparents, anticipated competence was uniquely low for mothers. Mediational analyses indicated that, as predicted, negativity in competence expectations, not anticipated job commitment or achievement striving, promoted the motherhood bias in screening recommendations; expected deficits in agentic behaviors, not in dependability, were found to fuel these competence expectations. These findings suggest that motherhood can indeed hinder the career advancement of women and that it is the heightened association with gender stereotypes that occurs when women are mothers that is the source of motherhood's potentially adverse consequences.     

Implicit sources of bias in employment interview judgments and decisions

This study empirically examined implicit sources of bias in employment interview judgments and decisions. We examined two ethnic cues, accent and name, as sources of bias that may trigger prejudicial attitudes and decisions. As predicted, there was an interaction between the applicant name and accent that affected participants’ favorable judgments of applicant characteristics. The applicant with the ethnic name, speaking with an accent, was viewed less positively by interviewers than the ethnic named applicant without an accent and non-ethnic named applicants with and without an accent. Furthermore, modern ethnicity bias had a negative association with the favorable judgments of the applicants, which, in turn, affected hiring decisions. Implications of the results, limitations of the study, and directions for future research are discussed.     

Remembering the best and worst of times: Memories for extreme outcomes bias risky decisions

When making decisions on the basis of past experiences, people must rely on their memories. Human memory has many well-known biases, including the tendency to better remember highly salient events. We propose an extreme-outcome rule, whereby this memory bias leads people to overweight the largest gains and largest losses, leading to more risk seeking for relative gains than for relative losses. To test this rule, in two experiments, people repeatedly chose between fixed and risky options, where the risky option led equiprobably to more or less than did the fixed option. As was predicted, people were more risk seeking for relative gains than for relative losses. In subsequent memory tests, people tended to recall the extreme outcome first and also judged the extreme outcome as having occurred more frequently. Across individuals, risk preferences in the risky-choice task correlated with these memory biases. This extreme-outcome rule presents a novel mechanism through which memory influences decision making.     

Racial bias in decisions made by mock jurors evaluating a case of sexual harassment

White (N = 161) and Black (N = 152) college students served as mock jurors in a simulated civil case in which a female plaintiff accused a male defendant of sexual harassment. The authors experimentally manipulated the race (Black or White) of the litigants and asked the mock jurors to decide whether the defendant was guilty; to rate the certainty of their belief in the defendant's guilt; and, when they judged the defendant guilty, to recommend an award to the plaintiff. Mock jurors of both races tended to favor litigants of their own race and their own gender. Racial bias was highest among White male jurors and lowest among White female jurors.     

Swayed by the music: sampling bias towards musical preference distinguishes like from dislike decisions

This study investigated the interaction between sampling behavior and preference formation underlying subjective decision making for like and dislike decisions. Two-alternative forced-choice tasks were used with closely-matched musical excerpts and the participants were free to listen and re-listen, i.e. to sample and resample each excerpt, until they reached a decision. We predicted that for decisions involving resampling, a sampling bias would be observed before the moment of conscious decision for the like decision only. The results indeed showed a gradually increasing sampling bias favouring the choice (73%) before the moment of overt response for like decisions. Such a bias was absent for dislike decisions. Furthermore, the participants reported stronger relative preferences for like decisions as compared to dislike decisions. This study demonstrated distinct differences in preference formation between like and dislike decisions, both in the implicit orienting/sampling processes prior to the conscious decision and in the subjective evaluation afterwards.     

The indirect effect of attention bias on memory via interpretation bias: Evidence for the combined cognitive bias hypothesis in subclinical depression

Little research has investigated functional relations among attention, interpretation, and memory biases in depressed samples. The present study tested the indirect effect of attention bias on memory through interpretation bias as an intervening variable in a mixed sample of non-depressed and subclinically depressed individuals. Subclinically depressed and non-depressed individuals completed a spatial cueing task (to measure attention bias), followed by a scrambled sentences test (to measure interpretation bias), and an incidental free recall task (to measure memory bias). Bias-corrected bootstrapping yielded evidence for the hypothesised indirect effect model, in that an emotional bias in attention is related to a congruent bias in interpretative choices which are in turn reflected in memory. These findings extend previous research and provide further support for the combined cognitive bias hypothesis in depression. Theoretical and clinical implications of our findings are discussed.     

表面相似性对数量关系和相对大小关系理解的影响

研究采用数量关系匹配任务和相对大小关系匹配任务,通过高表面相似性、低表面相似性和交叉映射三种实验条件,探讨表面相似性对儿童和成人数量与相对大小关系理解的影响。研究一对37名4岁儿童进行三次每次间隔半年的追踪测查,结果表明4~5岁间儿童理解数量关系和相对大小关系的水平有显著提高;4岁儿童对数量关系的理解受到表面相似性的影响,4~5岁儿童对相对大小关系的理解受到表面相似性的影响。研究二探究44名成人数量和相对大小关系理解的特点,结果发现,成人完成两种关系匹配任务时也受到表面相似性的影响。     

Confirmation bias in sequential information search after preliminary decisions: an expansion of dissonance theoretical research on selective exposure to information

Research on selective exposure to information consistently shows that, after having made a decision, people prefer supporting over conflicting information. However, in all of these experiments participants were given an overview of all available pieces of information, selected them simultaneously, and did not process the requested information during the selection phase. In the present research the authors show that an even stronger preference for supporting information arises if information is presented and processed sequentially instead of simultaneously (Experiment 1), and they demonstrate that this stronger confirmation bias is due to sequential presentation and not to sequential processing of information (Experiment 2). The authors provide evidence that the increase in confirmation bias under sequential presentation is caused by heightened commitment due to the participants' increased focusing on their decision (Experiments 3 and 4).     

Optimal designs for the generalized partial credit model

Analysing ordinal data is becoming increasingly important in psychology, especially in the context of item response theory. The generalized partial credit model (GPCM) is probably the most widely used ordinal model and has found application in many large-scale educational assessment studies such as PISA. In the present paper, optimal test designs are investigated for estimating persons’ abilities with the GPCM for calibrated tests when item parameters are known from previous studies. We find that local optimality may be achieved by assigning non-zero probability only to the first and last categories independently of a person's ability. That is, when using such a design, the GPCM reduces to the dichotomous two-parameter logistic (2PL) model. Since locally optimal designs require the true ability to be known, we consider alternative Bayesian design criteria using weight distributions over the ability parameter space. For symmetric weight distributions, we derive necessary conditions for the optimal one-point design of two response categories to be Bayes optimal. Furthermore, we discuss examples of common symmetric weight distributions and investigate under what circumstances the necessary conditions are also sufficient. Since the 2PL model is a special case of the GPCM, all of these results hold for the 2PL model as well.     

Regression analyses of bias on the Kaufman Assessment Battery for Children

The Kaufman Assessment Battery for Children (K-ABC) has been touted in the popular press and the publisher's advertising as a nonbiased measure of children's intellectual functioning. The claims are based substantially on a reduction of the mean differences in overall test performance between blacks and whites on the K-ABC. However, mean differences are the most often rejected indicators of test bias by most serious psychometricians, and while the issue of bias is complex and requires multiple approaches, one necessary test of bias requires a comparison of the predictive validity of the scale for blacks and for whites. The present study reports on the results of an investigation of the criterion-related validity of the K-ABC, predicting reading comprehension, arithmetic, and general achievement, for large samples of blacks and whites tested during the standardization of the battery. The statistical technique of Potthoff is used to test for bias under the regression definition of Cleary. The results are reported separately for several age groups. The Sequential and Mental Processing Composite scales tended to overpredict black children's academic levels, especially on the K-ABC achievement scales. Some differences also occurred with the Simultaneous Processing scale but with less frequency.     

Developmental bias for number words in the intraparietal sulcus

Children and adults show behavioral evidence of psychological overlap between their early, non‐symbolic numerical concepts and their later‐developing symbolic numerical concepts. An open question is to what extent the common cognitive signatures observed between different numerical notations are coupled with physical overlap in neural processes. We show that from 8 years of age, regions of the intraparietal sulcus (IPS) that exhibit a numerical ratio effect during non‐symbolic numerical judgments also show a semantic distance effect for symbolic number words. In both children and adults, the IPS showed a semantic distance effect during magnitude judgments of number words (i.e. larger/smaller number) but not for magnitude judgments of object words (i.e. larger/smaller object size). The results provide novel evidence of conceptual overlap between neural representations of symbolic and non‐symbolic numerical values that cannot be explained by a general process, and present the first demonstration of an early‐developing dissociation between number words and object words in the human brain.     

Similarity and contrast in memory for relations

The paper reports four experiments concerned with memory for sets of categorically related or unrelated nouns, as a function of the extent to which initial processing focused on categorical or distinctive features of the nouns. The general finding is that distinctive features are valuable for later intracategory discrimination in recall and recognition, but categorical features are not, as judged by cued recall, recognition, measures of association between items, and categorical intrusion errors. A theoretical framework, based on the diagnostic value of features for various classifications, is offered as an account of the results.     

Expectancy bias mediates the link between social anxiety and memory bias for social evaluation

Social anxiety (SA) involves a multitude of cognitive symptoms related to fear of evaluation, including expectancy and memory biases. We examined whether memory biases are influenced by expectancy biases for social feedback in SA. We hypothesised that, faced with a socially evaluative event, people with higher SA would show a negative expectancy bias for future feedback. Furthermore, we predicted that memory bias for feedback in SA would be mediated by expectancy bias. Ninety-four undergraduate students (55 women, mean age = 19.76 years) underwent a two-visit task that measured expectations about (Visit 1) and memory of (Visit 2) feedback from unknown peers. Results showed that higher levels of SA were associated with negative expectancy bias. An indirect relationship was found between SA and memory bias that was mediated by expectancy bias. The results suggest that expectancy biases are in the causal path from SA to negative memory biases for social evaluation.     

Network approaches for expert decisions in sports

This paper focuses on a model comparison to explain choices based on gaze behavior via simulation procedures. We tested two classes of models, a parallel constraint satisfaction (PCS) artificial neuronal network model and an accumulator model in a handball decision-making task from a lab experiment. Both models predict action in an option-generation task in which options can be chosen from the perspective of a playmaker in handball (i.e., passing to another player or shooting at the goal). Model simulations are based on a dataset of generated options together with gaze behavior measurements from 74 expert handball players for 22 pieces of video footage. We implemented both classes of models as deterministic vs. probabilistic models including and excluding fitted parameters. Results indicated that both classes of models can fit and predict participants' initially generated options based on gaze behavior data, and that overall, the classes of models performed about equally well. Early fixations were thereby particularly predictive for choices. We conclude that the analyses of complex environments via network approaches can be successfully applied to the field of experts' decision making in sports and provide perspectives for further theoretical developments.     

On the power of the test for cluster bias

Cluster bias refers to measurement bias with respect to the clustering variable in multilevel data. The absence of cluster bias implies absence of bias with respect to any cluster‐level (level 2) variable. The variables that possibly cause the bias do not have to be measured to test for cluster bias. Therefore, the test for cluster bias serves as a global test of measurement bias with respect to any level 2 variable. However, the validity of the global test depends on the Type I and Type II error rates of the test. We compare the performance of the test for cluster bias with the restricted factor analysis (RFA) test, which can be used if the variable that leads to measurement bias is measured. It appeared that the RFA test has considerably more power than the test for cluster bias. However, the false positive rates of the test for cluster bias were generally around the expected values, while the RFA test showed unacceptably high false positive rates in some conditions. We conclude that if no significant cluster bias is found, still significant bias with respect to a level 2 violator can be detected with an RFA model. Although the test for cluster bias is less powerful, an advantage of the test is that the cause of the bias does not need to be measured, or even known.