Social desirability bias in diary panels is evident in panelists' behavioral frequency

The purpose was to analyze a large-scale database, a national sample of 1108 heads of households collected by AT&T, to show that behavioral frequencies of the activities of consumer diary panelists may regress toward the population mean during the diary-keeping period given social desirability bias produced by the conditioning effect of keeping diaries. This effect is distinguished from regression toward the mean, a statistical phenomenon reflecting happenstance of extreme initial values. Social desirability bias is demonstrated in two ways-by observing decreasing coefficients of variation over time and by detecting a greater proportion of panelists' behavioral frequencies moving toward the population mean than moving away from it. Both cannot be explained by regression toward the mean. Social desirability bias was manifest only during the early stages of the diary-keeping period and only for activities high in involvement. The presence of social desirability bias in diary panels implies that, when people are subjected to observation, diary observations may be contaminated, leading to the mistaken impression that the population is more homogeneous than it actually is. Thus it is important for researchers to monitor the diary panel carefully to detect social desirability bias when engaged in longitudinal studies.     

The Effect of Contact on Attitudes Toward Old Order Amish1

This investigation was guided by social categorization theory and the contact hypothesis. A convenience sample of 89 adults provided survey data to test the hypothesis that non‐Amish individuals who shared more contact with Old Order Amish would report more positive attitudes (less attitudinal bias) toward the Amish than would individuals who shared less contact. Blockwise hierarchical regression analysis showed that after controlling for demographic factors and known correlates of attitudinal bias, deep (but not superficial) contact was significantly related to positive attitudes toward the Amish. Deep contact and need for cognition explained 29.4% of the variance in attitudes that non‐Amish people held toward Old Order Amish. Application of these findings, suggestions for future research, and study limitations are discussed.     

Contraction bias in memorial quantifying judgment: does it come from a stable compressed memory representation or a dynamic adaptation process?

A common response bias in psychophysical judgments is regression toward the mean (overestimation of small and underestimation of large values, or the response contraction bias). The same bias is observed in magnitude estimation from memorized quantities. Participants estimated alphabetic interval distances between 2 letters for different levels of interletter distances. The underestimated and overestimated values and the point of least error changed, depending on the level of alphabetic distances judged; furthermore, their estimation showed a progressively increasing tendency toward the mean, rendering the estimation progressively less accurate as the estimation task was repeated. We conclude that the regression toward the mean in memorial quantifying judgment derives from a cognitive adaptation process rather than from a permanent, compressed memory representation of the stimuli. Two opposing views on the adaptive meaning of this judgment bias are discussed.     

Attentional bias toward fear-related stimuli: an investigation with nonselected children and adults and children with anxiety disorders

Research investigating anxiety-related attentional bias for emotional information in anxious and nonanxious children has been equivocal with regard to whether a bias for fear-related stimuli is unique to anxious children or is common to children in general. Moreover, recent cognitive theories have proposed that an attentional bias for objectively threatening stimuli may be common to all individuals, with this effect enhanced in anxious individuals. The current study investigated whether an attentional bias toward fear-related pictures could be found in nonselected children (n=105) and adults (n=47) and whether a sample of clinically anxious children (n=23) displayed an attentional bias for fear-related pictures over and above that expected for nonselected children. Participants completed a dot-probe task that employed fear-related, neutral, and pleasant pictures. As expected, both adults and children showed a stronger attentional bias toward fear-related pictures than toward pleasant pictures. Consistent with some findings in the childhood domain, the extent of the attentional bias toward fear-related pictures did not differ significantly between anxious children and nonselected children. However, compared with nonselected children, anxious children showed a stronger attentional bias overall toward affective picture stimuli.     

Asymptotic bias of normal-distribution-based maximum likelihood estimates of moderation effects with data missing at random

Moderation analysis is useful for addressing interesting research questions in social sciences and behavioural research. In practice, moderated multiple regression (MMR) models have been most widely used. However, missing data pose a challenge, mainly because the interaction term is a product of two or more variables and thus is a non-linear function of the involved variables. Normal-distribution-based maximum likelihood (NML) has been proposed and applied for estimating MMR models with incomplete data. When data are missing completely at random, moderation effect estimates are consistent. However, simulation results have found that when data in the predictor are missing at random (MAR), NML can yield inaccurate estimates of moderation effects when the moderation effects are non-null. Simulation studies are subject to the limitation of confounding systematic bias with sampling errors. Thus, the purpose of this paper is to analytically derive asymptotic bias of NML estimates of moderation effects with MAR data. Results show that when the moderation effect is zero, there is no asymptotic bias in moderation effect estimates with either normal or non-normal data. When the moderation effect is non-zero, however, asymptotic bias may exist and is determined by factors such as the moderation effect size, missing-data proportion, and type of missingness dependence. Our analytical results suggest that researchers should apply NML to MMR models with caution when missing data exist. Suggestions are given regarding moderation analysis with missing data.     

Naive empiricism and dogmatism in confidence research: a critical examination of the hard-easy effect

Two robust phenomena in research on confidence in one's general knowledge are the overconfidence phenomenon and the hard-easy effect. In this article, the authors propose that the hard-easy effect has been interpreted with insufficient attention to the scale-end effects, the linear dependency, and the regression effects in data and that the continued adherence to the idea of a "cognitive overconfidence bias" is mediated by selective attention to particular data sets. A quantitative review of studies with 2-alternative general knowledge items demonstrates that, contrary to widespread belief, there is (a) very little support for a cognitive-processing bias in these data; (b) a difference between representative and selected item samples that is not reducible to the difference in difficulty; and (c) near elimination of the hard-easy effect when there is control for scale-end effects and linear dependency.     

The left visual hemispace bias for the perception of chimeric faces: a further test of the difficulty of discrimination hypothesis

When people make judgments of visual-spatial forms, they generally perform better if the information is presented in their left visual hemispace (LVH), whereas for verbal material, they generally show a right visual hemispace (RVH) bias. For verbal material, the strength and direction of the effect also has been linked to task difficulty, with the bias shifting toward the RVH as task difficulty increases. Two experiments are presented that show the reverse direction of change for a nonverbal task; that is, when a nonverbal task is more difficult, the usual LVH effect shifts toward an RVH bias. Taking into account recent developments in theory and research on hemispheric differences in styles of information processing, we propose that task difficulty is related more generally to changes in processing style.     

The positive-negative asymmetry: On cognitive consistency and positivity bias

Positivity bias is approached from three viewpoints: (a) It may be the effect of purely cognitive dispositions. (b) As such, it may function as an hypothesis about reality. The related dynamic factor would be a tendency toward cognitive validity which may lead to an orientation toward the negative as a means to test the positivity-hypothesis. (c) Finally, the subject may seek rewarding behavioral interactions with entities within his life space. In this context cognitive positivity bias may reflect a behavioural approach bias which can be related to the dynamics of ‘mere survival’ and ‘self-actualization’.     

A public versus private administration of the implicit association test

This research includes two experiments that examined (a) whether the assessment situation in which individuals complete an implicit measure of bias alters their responses and (b) whether the hypothesized effect of the assessment situation on implicitly assessed bias reflects socially desirable responding. Participants in Experiment 1 (N = 151) completed an IAT measuring bias toward homosexuality in either a public or a private assessment situation. Consistent with studies of explicitly assessed attitudes, implicitly assessed bias toward homosexuality was significantly lower when assessed in a public versus a private assessment situation. Participants in Experiment 2 (N = 102) completed an IAT measuring bias toward homosexuality in a public assessment situation under a bogus pipeline or no‐bogus pipeline condition. Results indicated that participants' implicitly assessed bias did not significantly differ across these conditions. The authors discuss these findings in terms of possible automatic processes affecting the malleability of implicitly assessed attitudes. Copyright © 2006 John Wiley & Sons, Ltd.     

Omission bias, individual differences, and normality

Omission bias is the preference for harm caused by omissions over equal or lesser harm caused by acts. Recent articles (Connolly & Reb, 2003; Patt & Zeckhauser, 2000; Tanner & Medin, in press) have raised questions about the generality of this phenomenon and have suggested that the opposite bias (action bias) sometimes exists. Prentice and Koehler (2003) have suggested that omission bias is sometimes confounded with a bias toward what is normal, a bias they find. We review this literature and report new data showing omission bias with appropriate methods, as well as a small normality bias that cannot explain the omission bias. The data suggest that the bias is largely based on the distinction between direct and indirect causation, rather than that between action and inaction as such. We report substantial individual differences: some subjects show action bias. We argue, though, that concern about omission bias is justified if only a substantial minority of people show it.     

成功与失败限制性饮食者对食物加工的能量效应：注意偏向的眼动追踪

本研究通过眼动追踪考察两类限制性饮食者对食物注意偏向的成分。在高低能量食物分别和非食物配对时,成功者对高能量存在注意警觉（加速探测）-回避（早期和总体的回避）模式;失败者对高能量存在注意回避（早期定向回避）-维持（早期维持）模式,即在早期注意更少的定向于高能量,但一旦注意到就出现维持偏向。在高低能量配对时,成功者对高能量注意警觉（早期定向）-维持（早期维持）;失败者对高能量注意警觉（早期定向）-维持（早期、总体的维持) 。总体上,我们发现了不同亚类限制性饮食者对食物线索加工的能量效应,即失败者比成功者对高能量食物注意更多的眼动证据。     

Bias of phencyclidine discrimination by the schedule of reinforcement.

Pigeons, trained to discriminate phencyclidine from saline under a procedure requiring the bird to track the location of a color, received cumulative doses of phencyclidine, pentobarbital, or d-amphetamine with a variety of schedules of reinforcement in effect (across phases). When the same second-order schedules were used to reinforce responding after either saline or phencyclidine administration, stimulus control by phencyclidine did not depend on the schedule parameter. When different second-order schedules were used that biased responding toward the phencyclidine-correlated key color, pigeons responded on the phencyclidine-correlated key at lower doses of phencyclidine and pentobarbital than when the second-order schedule biased responding toward the saline key color. A similar but less marked effect was obtained with d-amphetamine. Attempts to produce bias by changing reinforcement magnitude (duration of food availability) were less successful. A signal-detection analysis of dose-effect curves for phencyclidine under two of the second-order schedules employed suggested that at low doses of phencyclidine, response bias is a major determinant of responding. As doses were increased, position preferences occurred and response bias decreased; at higher doses both response bias and position preference decreased and discriminability increased. With low doses of pentobarbital, responding again was biased but increasing doses produced position preference with only small increases in discriminability. At low doses of d-amphetamine responding also was biased, but bias did not decrease consistently with dose nor did discriminability increase. These experiments suggest that the schedule of reinforcement can be used to bias responding toward or away from making the drug-correlated response in drug discrimination experiments, and that signal-detection analysis and analysis of responding at a position can be used to separate the discriminability of the drug state from other effects of the drug on responding.     

Group Distinctiveness,Political Identification,and the Third-Person Effect: Perceptions of a Political Campaign in the 2004 Greek National Election

The present study examined the effects of political identification and group distinctiveness on perceptions of media influence during an election campaign. Participants estimated the effect of political communication on self and on voters of two large, nondistinctive political parties and two small, distinctive political parties. Nondistinctive party members showed an ingroup bias (i.e., greater perceived media influence on the outgroup) irrespective of strength of identification compared to the nondistinctive outgroups, whereas they did not show any bias (high identifiers) or even reverse bias (low identifiers) toward the distinctive outgroups. Distinctive party members showed an ingroup bias (irrespective of strength of identification) against the nondistinctive outgroups and an ingroup bias (high identifiers) or no bias (low identifiers) toward the distinctive outgroups. Ingroup assimilation (i.e., lack of difference in perceived influence between self and ingroup) was evident for distinctive party members, but not for nondistinctive party members. Results highlight the importance of group distinctiveness and identification in third-person perceptions.     

Using the Criterion-Predictor Factor Model to Compute the Probability of Detecting Prediction Bias with Ordinary Least Squares Regression

The study of prediction bias is important and the last five decades include research studies that examined whether test scores differentially predict academic or employment performance. Previous studies used ordinary least squares (OLS) to assess whether groups differ in intercepts and slopes. This study shows that OLS yields inaccurate inferences for prediction bias hypotheses. This paper builds upon the criterion-predictor factor model by demonstrating the effect of selection, measurement error, and measurement bias on prediction bias studies that use OLS. The range restricted, criterion-predictor factor model is used to compute Type I error and power rates associated with using regression to assess prediction bias hypotheses. In short, OLS is not capable of testing hypotheses about group differences in latent intercepts and slopes. Additionally, a theorem is presented which shows that researchers should not employ hierarchical regression to assess intercept differences with selected samples.     

Using Ensemble-Based Methods for Directly Estimating Causal Effects: An Investigation of Tree-Based G-Computation

Researchers are increasingly using observational or nonrandomized data to estimate causal treatment effects. Essential to the production of high-quality evidence is the ability to reduce or minimize the confounding that frequently occurs in observational studies. When using the potential outcome framework to define causal treatment effects, one requires the potential outcome under each possible treatment. However, only the outcome under the actual treatment received is observed, whereas the potential outcomes under the other treatments are considered missing data. Some authors have proposed that parametric regression models be used to estimate potential outcomes. In this study, we examined the use of ensemble-based methods (bagged regression trees, random forests, and boosted regression trees) to directly estimate average treatment effects by imputing potential outcomes. We used an extensive series of Monte Carlo simulations to estimate bias, variance, and mean squared error of treatment effects estimated using different ensemble methods. For comparative purposes, we compared the performance of these methods with inverse probability of treatment weighting using the propensity score when logistic regression or ensemble methods were used to estimate the propensity score. Using boosted regression trees of depth 3 or 4 to impute potential outcomes tended to result in estimates with bias equivalent to that of the best performing methods. Using an empirical case study, we compared inferences on the effect of in-hospital smoking cessation counseling on subsequent mortality in patients hospitalized with an acute myocardial infarction.     

Ideomotor perception modulates visuospatial cueing

The ideomotor theory of action posits that the cognitive representation of an action includes the learned perceptual effects of the action. Support for this theory has come from studies demonstrating how perceptual features that match the outcome of a response can facilitate selection of that response. We investigated another, complementary implication of ideomotor theory: would a bias toward selecting a response result in a perceptual bias toward the known effect of the response? In other words, would an action tendency direct attention to the anticipated perceptual features? Through an initial acquisition phase, participants learned that two possible responses (left/right keypress) consistently produced two distinct colors. Next, in a test phase, we manipulated response bias at the beginning of each trial, using an uninformative spatial prime presented at the left or right periphery. We then examined the extent to which color transients that either matched or mismatched the induced response bias can orient participants’ visual attention. Results revealed a perceptual bias toward the color effect of the primed response, manifested in a stronger visual orienting toward this color. Thus, biasing response selection can bias perception. These findings extend the scope of the ideomotor theory to visual perceptual processes.     

心理测验中的趋中回归与超常分数重现概率

研究了心理测验中的趋中回归及其性质,超常分数重现概率与真分数的分布、测验信度、超常分数界值的关系。结果表明,信度越低,趋中回归越大;超常分数界值越高,趋中回归越大。在正态分布下,超常分数重现概率与信度是指数关系;超常分数重现概率与界值是直线关系。初步讨论了如何在心理学研究中避免和减少趋中回归的误导。     

The effect of instructional bias on listener ratings of specific disfluency types in children

This study evaluated the influence of instructional bias on severity ratings of children's disfluencies. Normal speaking children were trained to simulate specific types of disfluency and severity judgments were made by judges who had been exposed to instructional bias. The 75 judges who participated in the study were divided into three groups of 25 each and were given a bias “toward stuttering,” bias “toward fluency,” and a “neutral” bias toward neither perceptual set. Both univariate and multivariate analyses were employed for data analysis.Although predictable differences were found between the specific types of speech disfluency, no significant differences were found for the experimental bias conditions. These findings, based on molecular analyses, differ from previous results based on molar speech samples. Molecular approaches to understanding the nature of stuttering were found to be powerful modes of assessment, and it is suggested that the type of disfluency emitted by children may be more important than the instructional bias or perceptual set of the listener.     

Eyewitness identification discriminability: ROC analysis versus logistic regression

To reach conclusions regarding the respective accuracy of two conditions, eyewitness researchers evaluate correct and false identification rates computed across participants. Two approaches typically are employed. One approach relies on ratio-based probative value measures; but Wixted and Mickes (2012) and Gronlund, Wixted, and Mickes (2014) showed that these measures fail to disentangle an assessment of accuracy (i.e., discriminability between guilty and innocent suspects) from response bias (i.e., a willingness to make a response). Our focus is on a second approach, logistic regression analyses of the correct and of the false identification rates. Logistic regression also fails to disentangle discriminability from bias. Therefore, it only can denote the most accurate condition in limited circumstances. The best approach for reaching the proper conclusion regarding which condition is most accurate is to use receiver operator characteristic (ROC) analysis. Simulated ROC data illustrate the problem with a reliance on logistic regression to assess accuracy.