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Social desirability (SD) scales have been used for decades in psychology and beyond. These scales are sought to measure individuals' tendencies to present themselves overly positive in self-reports, thus allowing to control for SD biases. However, research increasingly questions the validity of SD scales, proposing that SD scales measure substantive trait characteristics rather than response bias. To provide a large-scale empirical test of the validity of SD scales, we conducted a meta-analysis (k = 41; N = 8980) on the relation between SD scale scores and prosocial behavior in economic games (where acting in a prosocial manner is highly socially desirable). If SD scales measure what they are supposed to (namely, SD bias), they should be negatively linked to prosocial behavior; if SD scales measure socially desirable traits, they should be positively linked to prosocial behavior. Unlike both possibilities, the meta-analytic correlation between SD scores and prosocial behavior was close to zero, suggesting that SD scales neither clearly measure bias nor substantive traits. This conclusion was also supported by moderation analyses considering differences in the implementation of games and the SD scales used. The results further question the validity of SD scales with the implication that scholars and practitioners should refrain from using them.

In this research note, we argue that a segment of Trump voters may be motivated to demonstrate that they are not racially insensitive by saying they voted for Obama in 2012. As a result, what may appear as a substantial group of swing voters may be—in part—partisan voters who want to avoid perceptions of racial bias. Using data from a survey of a nationally representative nonprobability sample from YouGov, polling data from the 2016 election, and a survey experiment conducted with a convenience sample of American adults, we find that Obama-Trump voters score significantly higher on a social monitoring scale than others and that respondents are significantly more supportive of Trump when they are given the opportunity to mention who they voted for in 2012. The combination of results suggests that the number of Obama-Trump voters may be overestimated due to self-monitoring.

We are investigating the robustness of the initial elevation bias. We will be measuring anxiety using a 3-item, 5-point rating scale, as originally used by Shrout et al. (2018). If the initial elevation bias is robust, then we expect to see mean ratings on this scale to be higher for people who are responding to the scale for the first time (the Later Start group) than for people who are responding to the scale for the second time (the Earlier Start group).

Public attitude surveys provide invaluable data for assessing perceptions, values, and attitudes across societies and over time. Ideally, respondents feel secure to disclose accurate information (a...

In the present work, we review a growing programme of research identifying deficits in race-based interpersonal sensitivity, specifically emotion detection, as a route to creating pitfalls in inter...

For 70 years, the field of social perception has concluded that perceivers can determine others' social category memberships with remarkable accuracy. However, it has become increasingly clear that accuracy is only part of the story, as social category judgments are often systematically biased toward one category over another. For example, when categorizing sexual orientation, perceivers label others as straight more often than gay. This straight categorization bias is reliable, has an effect size larger than that for accuracy, and is not exclusively driven by the low base rate of sexual minorities in the population, yet we know little about its proximal causes. Here, we argue that one facet of this bias is a motivated reasoning process that avoids applying stigmatizing labels to unknown others. Specifically, we propose that perceivers ascribe heavy consequences to incorrect gay categorizations, compelling them to gather and integrate available information in a manner that favors straight categorizations. Studies 1 and 2 tested the dynamic nature of the bias, exploring decision ambivalence and the real-time accrual of visible evidence about a target throughout the perceptual process using mouse-tracking and diffusion modeling. Studies 3-5 tested motivational determinants for the bias, revealing that perceivers associate high costs with incorrect gay categorizations because those errors put other people in harm's way. Studies 6-9 tested the cognitive mechanisms perceivers engage as they search for information that allows them to avoid costly decision errors. Collectively, these studies provide a new framework for understanding a well-documented but poorly understood response bias in social categorization. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Measuring corruption has become a global industry. An important and commonly used data source are several large-scale multi-country projects that survey citizens directly about their perceptions and experiences of corruption. Such indicators are regularly used by political scientists to test theories on political attitudes and behavior. However, we still know little about the quality of many of these measures. This paper deploys a large survey with two embedded experiments to investigate two potential sources of bias in indicators based on citizens’ perceptions and experiences of corruption, stemming from political bias and sensitivity bias. First, I draw upon research on economic perceptions and argue that respondents are likely to respond in a political manner when asked how they perceive the level of corruption in their country. I test this argument by experimentally priming respondents’ political affiliations before asking for their perception of corruption. Second, I argue that standard questions probing peoples’ corruption experiences are likely to be subject to sensitivity bias. I test this second argument by constructing a list experiment. Overall, the results show strong and predictable sources of response bias that also vary significantly between important subgroups. I discuss implications for researchers and practitioners.

The inclusion of attitudinal questions in surveys to determine the effects of the psychological dimension is becoming increasingly important in travel behavior research. However, the occurrence of response bias must be taken into account when determining the psychological characteristics. Especially unmotivated participants have the option to run different answer strategies in item sets that query attitudes. With this study, we analyze variations of response bias and carry out an international comparison to identify cultural differences. For this purpose, we use a standardized survey design conducted in Shanghai (China), Berlin (Germany) and San Francisco (USA) and investigate response behavior to psychological questions. Different measurement methods are used to identify certain response patterns. By modifying an existing algorithm, we combine several aspects of response bias into one indicator. Based on an ordered logit regression, we analyze factors influencing response behavior. As a central outcome, people from Shanghai and San Francisco tend to show more suspicious response behavior than people from Berlin. Since the transferability of surveys has to be seen against the background of different linguistic and cultural interpretations, we investigated these peculiarities through a qualitative follow-up study in China. We conclude that international studies must also take into account social and cultural conditions, since a mere translation of attitudinal questions is not enough. This paper underlines the importance of such studies of response behavior, especially in an international comparison, in order to allow interpretations of survey results. Hints and recommendations for further research are given.

Response bias has been framed as the tendency of a participant's response to be skewed by a variety of factors, including study design and participant-researcher dynamics. Response bias is a concern for all researchers who conduct studies with people — especially those working with participants with disabilities. This is because these participants’ diverse needs require methodological adjustments and differences in disability identity between the researcher and participant influence power dynamics. Despite its relevance, there is little literature that connects response bias to accessibility. We conducted semi-structured interviews with 27 accessibility researchers on how response bias manifested in their research and how they mitigated it. We present unique instances of response bias and how it is handled in accessibility research; insights into how response bias interacts with other biases like researcher or sampling bias; and philosophies and tensions around response bias such as whether to accept or address it. We conclude with guidelines on thinking about response bias in accessibility research.

Prosociality increases when decisions are made under time pressure. Here, we investigated whether time pressure increases socially desirable responding outside social interactions (Study 1). Finding that it did, we then examined whether this is because people align their responses with the concept of their “true” self or because of an intuitive tendency to comply with norms (Study 2). In Study 1, we randomly assigned each of 1,500 Americans to answer a measure of social-desirability bias either quickly or slowly and found that quick responding increased social desirability. In Study 2, we recruited a similar sample and tested whether fast-responding effects were moderated by the extent to which people display a good-true-self bias. A greater tendency to ascribe good behaviors to the true self predicted social desirability, but this relationship disappeared under time pressure. These results of socially desirable behavior under time pressure do not reflect people’s deep-down good selves but, rather, their desire to present themselves favorably to other people.

Objectives. We developed and validated the POPulist ORientation (POPOR) Scale (composed of six five-category items), operationalizing populist orientation as a unidimensional construct composed of six facets: (1) anti-economic, financial, and intellectual establishment attitude; (2) anti-political establishment; (3) conception of the people as a homogeneous and virtuous entity; (4) consideration of the people as legitimated to take part directly in political decision-making processes; (5) need for a strong leader; and (6) loss of relevance of the traditional ideologies. To prevent response bias, we gave the POPOR Scale a forced-choice format and a balanced structure. Method. We surveyed a quota sample of 1,348 Italians extracted from the general population and analyzed the structure of the scale and its convergent validity via confirmatory factor analysis. Results. The POPOR Scale showed a unidimensional structure and a good convergent validity. Supplemental analyses showed its structural invariance across gender, age, education, and area of residence.

People tend to believe their perceptions are veridical representations of the world, but also commonly report perceiving what they want to see or hear, a phenomenon known as motivated perception. It remains unclear whether this phenomenon reflects an actual change in what people perceive or merely a bias in their responding. We manipulated the percept participants wanted to see as they performed a visual categorization task for reward. Even though the reward maximizing strategy was to perform the task accurately, this manipulation biased participants’ perceptual judgments. Motivation increased activity in voxels within visual cortex selective for the motivationally relevant category, indicating a bias in participants’ neural representation of the presented image. Using a drift diffusion model, we decomposed motivated seeing into response and perceptual components. Response bias was associated with anticipatory activity in the nucleus accumbens, whereas perceptual bias tracked category-selective neural activity. Our results highlight the role of the reward circuitry in biasing perceptual processes and provide a computational description of how the drive for reward can lead to inaccurate representations of the world.

Narcissism can be conceptualized as a combination of maladaptive variants of Five-Factor Model facets which load onto three of the five factors—antagonism (i.e., low agreeableness), agentic extraversion, and narcissistic neuroticism. Much research examines approach and avoidance motivations in narcissism; however, few studies assess these processes beyond self-report. In this study we examined how antagonism, agentic extraversion, and narcissistic neuroticism relate to reward learning—thought to be a component of approach motivation. A sample of 73 nonpsychiatric participants (71% female) completed a behavioral computer-administered probabilistic reward learning task involving monetary winnings. Narcissism was measured using the Five-Factor Narcissism Inventory (FFNI), which is a measure of grandiose and vulnerable narcissism using meta-analytically related Five-Factor Model facets that were modified to reflect narcissistic themes. Results indicated that narcissistic neuroticism related to greater average reward learning (i.e., response bias) across the task. Examination at the facet level indicated that FFNI Need for Admiration was the only facet that related significantly to response bias. This finding suggests that vulnerable narcissists may be more responsive to positive self-relevant feedback because of an increased sensitivity and ability to learn implicitly from reward.

Abstract. Response bias (nonresponse and social desirability bias) is one of the main concerns when asking sensitive questions about behavior and attitudes. Self-reports on sensitive issues as in health research (e.g., drug and alcohol abuse), and social and behavioral sciences (e.g., attitudes against refugees, academic cheating) can be expected to be subject to considerable misreporting. To diminish misreporting on self-reports, indirect questioning techniques have been proposed such as the randomized response techniques. The randomized response techniques avoid a direct link between individual’s response and the sensitive question, thereby protecting the individual’s privacy. Next to the development of the innovative data collection methods, methodological advances have been made to enable a multivariate analysis to relate responses to sensitive questions to other variables. It is shown that the developments can be represented by a general response probability model (including all common designs) by extending it to a generalized linear model (GLM) or a generalized linear mixed model (GLMM). The general methodology is based on modifying common link functions to relate a linear predictor to the randomized response. This approach makes it possible to use existing software for GLMs and GLMMs to model randomized response data. The R-package GLMMRR makes the advanced methodology available to applied researchers. The extended models and software will seriously improve the application of the randomized response methodology. Three empirical examples are given to illustrate the methods.

Anhedonia, the loss of pleasure from previously rewarding activities, is a core symptom of several neuropsychiatric conditions, including major depressive disorder (MDD). Despite its transdiagnostic relevance, no effective therapeutics exist to treat anhedonia. This is due, in part, to inconsistent assays across clinical populations and laboratory animals, which hamper treatment development. To bridge this gap, recent work has capitalized on two long-standing research domains dedicated to quantifying responsivity to antecedents and consequences across species: the generalized matching law and signal detection theory. This review traces the integration of these quantitative frameworks, which yielded two empirically derived metrics: response bias (log b) and task discriminability (log d). These metrics serve as primary dependent variables in the Probabilistic Reward Task (PRT). In this computerized task, subjects make visual discriminations and probabilistic contingencies are arranged such that correct responses to one alternative are rewarded more often (rich) than correct responses to the other (lean). Under these conditions, healthy participants consistently develop a response bias in favor of the rich alternative, whereas participants with MDD exhibit blunted biases, which correlate with current and predict future anhedonia. Given the correspondence between anhedonic phenotypes and response bias, the PRT has been reverse-translated for rodents and nonhuman primates. Orderly log b and log d values have been observed across diverse clinical populations and laboratory animals. In addition, pharmacological challenges have produced similar outcomes across species. Taken together, this quantitative framework offers a highly translational approach to assaying reward responsiveness to accelerate treatment development for neuropsychiatric disorders involving anhedonia.

BACKGROUND. Experimental vignette research methods have been used to study a diverse range of theoretical and practical issues. Vignettes are designed to create hypothetical cultural/normative contexts for the study of variation in self-reported attitudes. A key problem in such research, however, is potential social desirability response bias. METHOD. A vignette experimental test of an hypothesis derived from a dual-process theory (the MODE framework initially developed by Fazio) linking explicit vs. implicit self-reported attitude measurement and social desirability response bias is reported here. RESULTS. The data show that measuring the social approval of a central vignette character explicitly results in greater social desirability responding than measuring such approval implicitly, supporting MODE theory. CONCLUSIONS. Vignette research methodologies provide a rich, flexible toolkit for studying many important social psychological topics, including issues of inequality and equity. However, researchers can and should design a measurement strategy that carefully manages inferences drawn in light of conditions likely to produce social desirability response bias.

The present study investigated the potential of implicit physiological measures to provide objective measures of affective food experience in contrast to explicit self-report ratings in a cross-cultural context. Dutch and Thai participants viewed 120 food images portraying universal food image categories (regular and molded food) and cultural food image categories (typically Dutch and Thai food). The universal food images were taken as ground truth high and low valence stimuli, where we assumed no genuine difference in affective experience between nationalities. In contrast, for the cultural food images, we did expect a genuine difference between nationalities. Participants were asked to rate valence, arousal and liking of each food image. In addition, heart rate (HR) and phasic electrodermal activity (EDA) responses to the images were recorded. Typically Asian and Western response biases were found for explicit ratings of regular and molded food with an extreme response style for Dutch, and a middle response style for Thai participants. However, such bias was not observed in HR. For cultural food image categories, HR showed the hypothesized interaction between participant nationality and food image category, reflecting the expected genuine difference between nationalities in affective food experience. Besides presenting participants with images, we also asked participants to taste typically Thai and Dutch drinks. Similar to images, a significant interaction between participant nationality and cultural food category was found for HR. An interaction was also found for sip size, while this was not seen in explicit measures. We attribute this to differences in the moment that these measures were taken. In this study, phasic EDA did not appear to be a sensitive measure of affective food experience, possibly since stimuli mostly differed in valence rather than arousal. To conclude, our study constitutes an example where cultural bias negatively affected the accuracy of self-reports, and only the implicit physiological measures followed the prior expectations of genuine food experience, indicating the potential of these measures to study cross-cultural food experience.

Direct attitude questions occupy a central position in consumer research despite concerns over validity and reliability. Text highlighting is an alternative method where participants use highlighter functions to indicate content that they 'ike' and 'dislike' as they read a text. Jaeger et al. (2022) [Food Qual Prefer, 95, 104356] introduced this approach and the present research investigated it methodologically to further assess its potential for attitude measurement. There were two research questions (RQ) that asked whether: 1) highlighting responses are independent of text characteristics (length, content); and 2) consumers’ attitudes are altered by the process of completing the highlighting task. Data were collected in an online survey on vertical farming (VF) where 1466 UK consumers took part. For RQ1, results showed that word highlighting frequency was altered by textual context and decreased for longer texts. The sentiment scores for sentences were also altered, but the characteristics about VF that consumers responded positively and negatively to were minimally influenced by text length and content. For RQ2, results showed that completion of the text highlighting task did not influence attitudes to VF, meaning that the task of highlighting did not introduce response bias. Collectively, the findings of the present research further support that text highlighting has potential for attitude measurement.

Recently, increasing efforts have been made to define and measure dimensional phenotypes associated with psychiatric disorders. One example is a probabilistic reward task developed by Pizzagalli, Jahn, and O'Shea (2005) to assess anhedonia, by measuring response to a differential reinforcement schedule. This task has been used in many studies, which have connected blunted reward response in the task to depressive symptoms, across clinical groups and in the general population. The current study attempted to replicate these findings in a large community sample and also investigated possible associations with Extraversion, a personality trait linked to reward sensitivity. Participants (N = 299) completed the probabilistic reward task, as well as the Beck Depression Inventory, Personality Inventory for the DSM-5, Big Five Inventory, and Big Five Aspect Scales. Our direct replication attempts used bivariate correlations and analysis of variance models. Follow-up and extension analyses used structural equation models to assess relations among reward sensitivity, depression, Extraversion, and Neuroticism. No significant associations were found between reward sensitivity and depression, thus failing to replicate previous findings. Reward sensitivity (both modeled as response bias aggregated across blocks and as response bias controlling for baseline) showed positive associations with Extraversion, but not Neuroticism. Findings suggest reward sensitivity as measured by this task may be related primarily to Extraversion and its pathological manifestations, rather than to depression per se, consistent with existing models that conceptualize depressive symptoms as combining features of Neuroticism and low Extraversion. Findings are discussed in broader contexts of dimensional psychopathology frameworks, replicable science, and behavioral task reliability. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

PurposePrevious studies support the notion that corporate social responsibility (CSR) initiatives can have a positive effect on customers in the hospitality and tourism industry. However, most of these studies have ignored response biases and none have incorporated them into their analyses numerically. This study aims at closing this research gap.Design/methodology/approachThe authors utilized a hybrid choice model to test for the hypothesized effects of social desirability (SD) and cynicism biases on reported purchase intention. The authors further compared the results with those of analyses that ignore these biases to demonstrate their distorting influence.FindingsThe results indicate that SD and cynicism biases have a moderating effect on reported purchase intention. Older generations and frequent travelers seem particularly prone to bias, and the biases have a distorting effect on the overall survey results.Research limitations/implicationsTraditional analyses that exclude biases, incorrectly, suggest several aspects of CSR that are significant (or insignificant) to purchase intention, provide unreliable results. The authors did not generalize bias-prone respondent segments but urge future research to investigate this.Practical implicationsHotel managers aspiring to gain competitive advantage through CSR investment must consider biases in their market research. Otherwise, they risk developing CSR initiatives that do not instigate positive customer behaviors, leading to the failure of the investment.Originality/valueThe authors quantified SD and cynicism as significant causes of response bias, which distorts survey results. Previous studies have conceptualized SD without quantifying its impact, while cynicism has been identified as a novel source of bias in the industry. This study further introduces hybrid choice modeling as a novel approach to address response bias that could extend itself beyond the industry studied here.

A rich body of research points to racial biases in so-called police officer dilemma tasks: participants are generally faster and less error-prone to “shoot” (vs. not “shoot”) Black (vs. White) targets. In three experimental (and two supplemental) studies (total N = 914), we aimed at examining the cognitive processes underlying these findings under fully standardized conditions. To be able to dissect a-priori decision bias, biased information processing and motor preparation, we rendered video sequences of virtual avatars that differed in nothing but the tone of their skin. Modeling the data via drift diffusion models revealed that the threat of a social group can be explicitly learned and mapped accordingly on an a-priori response bias within the model (Study 1). Studies 2 and 3 replicated the racial shooter bias as apparent in faster reaction times in stereotype-consistent trials. This, however, appears to result from stereotype-consistent motoric preparations and execution readiness, but not from pre-judicial threat biases. The results have implications especially for automatic stereotypes in the public.

Past literature suggested that not everyone is politically sophisticated. In the current research, it is proposed that an experimental manipulation of abstract mindset would decrease variation in responses to political attitude scales and render individuals more internally consistent in their political attitudes. Three hypotheses are proposed: (1) Abstract mindset would lower within-subject standard deviations (SDs) and increase Cronbach's alphas in responses to political attitude scales; (2) decrease in SDs could not be attributed to a response bias; and (3) abstract mindset would lower SDs even after controlling for differences in mean scores on those scales. In seven experiments, five different paradigms were used to manipulate abstractness and four different political scales were used as dependent measures on samples from two distinct cultures (US and Turkey). Analyses of individual studies and an aggregate analysis of combined data supported all hypotheses and showed that abstract mindset decreases SDs and increases Cronbach's alpha scores in self-reported political attitudes. Results suggest that abstract mindset enhances apparent political sophistication by highlighting core political beliefs behind different attitudinal statements. Implications for construal level theory and political sophistication research are discussed.

This study aims to investigate whether the Thurstonian Item Response Theory (TIRT), a recently developed normative scoring method, yields better validity evidence than the traditional partially ipsative scoring methods for multidimensional forced choice measures. For this purpose, we compared the construct- and criterion-related validity evidence of three different scoring methods for MFC measures, including 1) a partially ipsative method based on classical test theory (PI-CTT), 2) an analogous partially ipsative method using the graded item response theory (PI-IRT), and 3) the TIRT method. We also included in our analyses the validity evidence for a single-statement (SS) Big Five personality measures. Overall, the validity evidence for the three types of MFC scoring methods was comparable to the validity evidence for the traditional summative scoring (SS-CTT) method. Interestingly enough, the PI-CTT scoring method, the simplest method for MFC scoring, was about as effective as the more complex TIRT method. We discuss practical implications of the results and offer suggestions for future research.

Although ownership is acknowledged to exert a potent influence on various aspects of information processing, the origin of these effects remains largely unknown. Based on the demonstration that self-relevance facilitates perceptual judgments (i.e., the self-prioritization effect), here we explored the possibility that ownership enhances object categorization. The results of 2 experiments supported this prediction. Compared with items owned by a stranger (Expt. 1) or best friend (Expt. 2), those owned by the self were classified most rapidly (i.e., self-ownership effect) in an object-categorization task. To establish the basis of this effect, the processes underlying task performance were interrogated using a hierarchical drift diffusion model (HDDM) approach. Results of these analyses revealed that self-ownership was underpinned by a response bias (i.e., starting point of evidence accumulation). These findings explicate the origin of the ownership effect during object processing. (PsycINFO Database Record

Self-compassion has been consistently linked to psychological well-being. The ability to be self-compassionate may be shaped by early attachment experiences and associated with interpersonal difficulties. However, evidence has yet to be extended to clinical populations. This study examined the role of self-compassion and its relationship with attachment and interpersonal problems in clinical patients with anxiety and depression. Participants (N = 74; 60% female, mean age 40 years) were recruited from a primary care psychological therapies service in Scotland, UK. Participants completed four self-report questionnaires assessing self-compassion, attachment, interpersonal problems and emotional distress (including depression and anxiety). Low self-compassion, attachment-related avoidance (but not attachment-related anxiety) and high interpersonal problems were all associated with higher levels of emotional distress and anxiety. Low self-compassion and high interpersonal problems were predicted by attachment-related avoidance. Self-compassion mediated the relationship between attachment-related avoidance and emotional distress and anxiety. This was a cross-sectional design and therefore a definitive conclusion cannot be drawn regarding causal relationships between these variables. Self-reported questionnaires were subject to response bias. This study has extended the evidence base regarding the role of self-compassion in patients with clinical levels of depression and anxiety. Notably, our findings indicated that self-compassion may be a particularly important construct, both theoretically and clinically, in understanding psychological distress amongst those with higher levels of attachment avoidance. This study supports the development and practice of psychotherapeutic approaches, such as compassion-focused therapy for which there is a growing evidence base. Electronic supplementary material The online version of this article (10.1007/s12671-017-0835-6) contains supplementary material, which is available to authorized users.

신체이형장애에 대한 인지행동적 모형에서는 외모의 지각과 판단에서의 인지적 편향이 장애발달과 유지에 주요한 역할을 한다고 본다. 본 연구에서는 신호탐지이론을 적용하여 신체이형 증상과 얼굴 차이 지각에 인지적 편향이 있는지의 여부를 확인하고자 하였다. 이를 위해서 대학생을 대상으로 신체이형 증상 수준을 측정하여 상․하위 25%를 각각 신체이형 증상이 높은 집단과 낮은 집단으로 분류하였고, 이들이 실험에 참여하였다. 실험에서는 여러 쌍의 얼굴들을 순차적으로 제시하여 두 얼굴의 동일성 여부를 평정하게 하였다. 실험 자극 중 절반은 동일 얼굴쌍이었으며, 나머지 절반은 얼굴의 일부분을 조작하여 상이하게 만든 쌍이었다. 그 결과 고신체이형 집단이 저신체이형 집단에 비해 얼굴 차이 지각의 민감도가 유의하게 높게 나타났으며, 이는 우울의 정도를 통제하고도 여전히 유의하였다. 이런 결과는 신체이형 증상이 높은 집단이 얼굴 차이 지각에 더 민감하고, 이것이 신체이형 증상의 독특한 경향성임을 시사한다.

The Deese-Roediger-McDermott (DRM) paradigm examines false memory by introducing words associated with a non-presented 'critical lure' as memoranda, which typically causes the lures to be remembered as frequently as studied words. Our prior work has shown enhanced veridical memory and reduced misinformation effects when arousal is induced after learning (i.e., during memory consolidation). These effects have not been examined in the DRM task, or with signal detection analysis, which can elucidate the mechanisms underlying memory alterations. Thus, 130 subjects studied and then immediately recalled six DRM lists, one after another, and then watched a 3-min arousing (n=61) or neutral (n=69) video. Recognition tested 70min later showed that arousal induced after learning led to better delayed discrimination of studied words from (a) critical lures, and (b) other non-presented 'weak associates.' Furthermore, arousal reduced liberal response bias (i.e., the tendency toward accepting dubious information) for studied words relative to all foils, including critical lures and 'weak associates.' Thus, arousal induced after learning effectively increased the distinction between signal and noise by enhancing access to verbatim information and reducing endorsement of dubious information. These findings provide important insights into the cognitive mechanisms by which arousal modulates early memory consolidation processes.

Text messages are increasingly used in the delivery of health education programs. One appealing aspect of this approach is the possibility of remotely collecting participant data to use in program tailoring or evaluation. The purpose of the present study is to test the feasibility of using text messages to collect participant data. Using data from 33 texted evaluation questions sent through the Text2BHealthy nutrition education program for low-income parents (n=108-1521) response rates under different incentive and prompting strategies were examined. Response rates are generally low across a pilot year and three program years, ranging from 10-55%. While incentives seemed to be ineffective at improving response rates, results indicate that prompting participants to respond may increase response rates. Individuals who respond to an initial question are highly likely to respond to a follow-up question (88-99%) and to report positive behaviors (68-100%). Responses received through text may be unrepresentative and positively biased. Text messages may be a supplemental data collection strategy in nutrition education programs, but low response rates and response bias undermine data quality.

Across 3 experiments, we assessed the ability of law enforcement officers and naïve controls to detect the concealment of a weapon or device. Study 1 used a classic signal detection paradigm in which participants were asked to assess whether a target was concealing a neutered 9-mm handgun. Study 2 involved a compound signal detection paradigm in which participants assessed whether or not 1 of several individuals was concealing an unstable device in their backpack. Study 3 moved to a 2-alternative forced choice paradigm in which participants evaluated which of 2 targets was concealing an unstable device in his backpack. Across all 3 experiments we consistently found no significant differences in detection performance between law enforcement and naïve controls, although participants did perform above chance levels when response bias was free to vary. Furthermore, officers' years of experience was associated with a bias toward perceiving concealment. Given the frequency with which officers are asked to assess the concealment of weapons or devices, and therein to identify threats, our findings suggest the need for additional research to explore various factors (e.g., context, race of target, operational experience, etc.) likely related to performance on such tasks. (PsycINFO Database Record

Prior cross-cultural research has reported cultural variations in memory. One study revealed that Americans remembered images with more perceptual detail than East Asians (Millar et al. in Cult Brain 1(2–4):138–157, 2013). However, in a later study, this expected pattern was not replicated, possibly due to differences in encoding instructions (Paige et al. in Cortex 91:250–261, 2017). The present study sought to examine when cultural variation in memory-related decisions occur and the role of instructions. American and East Asian participants viewed images of objects while making a Purchase decision or an Approach decision and later completed a surprise recognition test. Results revealed Americans had higher hit rates for specific memory, regardless of instruction type, and a less stringent response criterion relative to East Asians. Additionally, a pattern emerged where the Approach decision enhanced hit rates for specific memory relative to the Purchase decision only when administered first; this pattern did not differ across cultures. Results suggest encoding instructions do not magnify cross-cultural differences in memory. Ultimately, cross-cultural differences in response bias, rather than memory sensitivity per se, may account for findings of cultural differences in memory specificity.

Cognitive bias can be a serious impediment to rational decision-making by health leaders. We use a hypothetical case study to introduce some basic concepts of bias with examples of mitigation strategies. We argue that the effect of biases should be considered when making every significant administrative decision.

Summary From the perspective of signal detection theory, different lineup instructions may induce different levels of response bias. If so, then collecting correct and false identification rates across different instructional conditions will trace out the receiver operating characteristic (ROC)—the same ROC that, theoretically, could also be traced out from a single instruction condition in which each eyewitness decision is accompanied by a confidence rating. We tested whether the two approaches do in fact yield the same ROC. Participants were assigned to a confidence rating condition or to an instructional biasing condition (liberal, neutral, unbiased, or conservative). After watching a video of a mock crime, participants were presented with instructions followed by a six-person simultaneous photo lineup. The ROCs from both methods were similar, but they were not exactly the same. These findings have potentially important policy implications for how the legal system should go about controlling eyewitness response bias.Copyright © 2017 John Wiley & Sons, Ltd.

Abstract. Uncertainty is a dynamic state that is perceived as discomforting and individuals are highly motivated to reduce these feelings. With regard to risky decision making, people tend to overweigh the value of certainty and opt for zero-risk solutions, even if this results in a less favorable outcome. This phenomenon is referred to as the zero-risk bias and it has been demonstrated in varying contexts and with different methods. However, there is a high variance in the emergence of the bias reported by the existing literature, leaving it unclear to what extent the bias was evoked by the method or whether other psychological factors influenced people’s decision making. Four studies were conducted in order to investigate methodological and situational factors on the bias, comparing its emergence within different task formats (questionnaires vs. behavioral tasks), decision types (forced choice vs. free resource allocation), and different decision domains. Results indicate that the zero-risk bias is persistent over different methods but highly sensitive to contextual factors: abstractness of the task, decision domain, and appropriateness of the zero-risk option. First, its emergence varied between the task formats, in that it was shown more often in abstract than in concrete tasks. Second, participants’ choice of zero-risk did not correlate between different tasks, indicating effects of decision domain. Third, a zero-risk strategy seemed to be appropriate for dividing risks on objects (lottery urns in a gambling task) but not on persons (in a health scenario). In the latter situation, aspects like fairness influenced choice. Future research is needed to explore the relation between these factors and identify their underlying mechanisms.

PurposeWhile English is the most commonly used language for market research, surveys and customer feedback in India, it does not reach the subcontinent’s entire population. Therefore, many questionnaires are bilingual, offering the respondent a choice between English and an indigenous Indian language. This, however, presupposes that answers to items are not influenced by people’s language proficiencies and response styles in different languages. This paper aims to examine whether market researchers in India should be careful about nonrandom measurement error caused by language response bias. Design/methodology/approachEnglish and Kannada questionnaires are administered in a test-retest scenario to 160 respondents in the Indian Tier-II city of Mysore. The data evaluation is organized by dispositional (language proficiency in English and Kannada) and situational influences (language of the questionnaire in English or Kannada); a series of tests to elucidate language response bias is conducted. FindingsWhile the significance of the two-tailed English-Kannada paired-sample tests is borderline, a more detailed look reveals surprising differences for the dispositional as well as situational linguistic influences. Moreover, the response style peculiarities in the Indian multilingual environment are not always consistent with differences in other international bilingual environments. Originality/valueHigh-quality data are central to all empirical research, but situational and dispositional language response bias seems to contaminate questionnaires in the Indian multi-lingual environment. This study highlights the effect and provides Indian market researchers with some first strategies for managing the challenge.

Purpose The purpose of this paper is to test the impact of power (coercive and non-coercive) on supply chain (SC) relationship success. In particular, this paper aims to examine the moderating effect of relationship quality (RQ) on the associations between power bases and relationship success. In turn, RQ and relationship success can impact the operational performance of the suppliers. Design/methodology/approach A survey of 284 Australian suppliers (growers of organic fruits and vegetables) was conducted to elucidate the associations among power, RQ, relationship success and operational performance. Findings RQ was found to only moderate the positive relationship between non-coercive power and relationship success. Moreover, RQ and relationship success were positively related to the suppliers’ operational performance. The findings conform those of previous research in which coercive power is negatively related to the supplier’s perception of relationship success while non-coercive power is positively related to the supplier’s perception of relationship success. Relationship success was found to mediate the relationships between the power bases and operational performance. Research limitations This study only collected data from one-side of the dyad (the suppliers). Another potential limitation is the existence of respondent bias, which can arise when a single respondent is asked to assess both the nature of the relationship and the performance outcomes of the relationship. Practical implications This study highlights the importance for managers to understand the dynamic shaping relationships when they want to signal their influence and RQ in inter-firm relationships associated with the SCs. Originality/value This study applies signaling theory as an alternative theoretical lens that looks into the moderating role of RQ on the associations between power bases and relationship success in the SC. This study argues that when the buyer increasingly develops RQ, the effect of non-coercive power on relationship success diminishes. Both RQ and relationship success positively influence the supplier’s operational performance.

This study investigates potential bias that may arise when surveys include question items for which multiple units are elicited. Examples of such items include questions about experiences with multiple health centers, comparison of different products, or the solicitation of egocentric network data. The larger the number of items asked about each named individual or location, the greater potential interviewer and respondent burden accrues to the naming of more names. Interviewers may be inclined to limit the number of names elicited to reduce the amount of time required to complete the interviews. We tested whether such bias occurred from data collected in northwest Ghana by contrasting group learning with individual learning. The results provided mixed evidence for both group and individual learning and stress the need to take actions such as increased training, change in incentives, and/or monitoring responses to guard against such results.

Openness to experience is characterised by flexible and inclusive cognition. Here we investigated whether this extends to basic visual perception, such that open people combine information more flexibly, even at low-levels of perceptual processing. We used binocular rivalry, where the brain alternates between perceptual solutions and times where neither solution is fully suppressed, mixed percept. Study 1 showed that openness is positively associated with duration of mixed percept and ruled out the possibility of response bias. Study 2 showed that mixed percept increased following a positive mood induction particularly for open people. Overall, the results showed that openness is linked to differences in low-level visual perceptual experience. Further studies should investigate whether this may be driven by common neural processes.

Models of action control suggest that predicted action outcomes are "cancelled" from perception, allowing agents to devote resources to more behaviorally relevant unexpected events. These models are supported by a range of findings demonstrating that expected consequences of action are perceived less intensely than unexpected events. A key assumption of these models is that the prediction is subtracted from the sensory input. This early subtraction allows preferential processing of unexpected events from the outset of movement, thereby promoting rapid initiation of corrective actions and updating of predictive models. We tested this assumption in three psychophysical experiments. Participants rated the intensity (brightness) of observed finger movements congruent or incongruent with their own movements at different timepoints after action. Across Experiments 1 and 2, evidence of cancellation-whereby congruent events appeared less bright than incongruent events-was only found 200 ms after action, whereas an opposite effect of brighter congruent percepts was observed in earlier time ranges (50 ms after action). Experiment 3 demonstrated that this interaction was not a result of response bias. These findings suggest that "cancellation" may not be the rapid process assumed in the literature, and that perception of predicted action outcomes is initially "facilitated." We speculate that the representation of our environment may in fact be optimized via two opposing processes: The primary process facilitates perception of events consistent with predictions and thereby helps us to perceive what is more likely, but a later process aids the perception of any detected events generating prediction errors to assist model updating. (PsycINFO Database Record

Measurement accuracy of respondents' opinions, perceptions, attitudes and behaviors is vital for better managerial suggestions, theoretical conclusions and advancement of science. There is a growing concern, voiced frequently in other disciplines that a high rate of response bias exists and this casts serious doubts on generalizability of conclusions. Based on limited research on the topic, this paper examines the extent to which response bias is acknowledged as a limitation in tourism, travel and hospitality research. Additional analyses were carried out to explore i) researchers' attentiveness to cautions when citing a biased study and ii) editorial policies of journals against bias. The results revealed that i) acknowledgement of response bias was low, ii) that researchers’ negligence to reported response bias limitations was high, and iii) that editorial policies of the examined journals were far from encouraging authors to discuss and include response bias related limitations. Implications were discussed.

Although studies often find racial disparities in policing outcomes, less is known about how suspect race biases police interactions as they unfold. This study examines what is differentially occurring during police-suspect interactions for White, Black, and Latino suspects across time. It is hypothesized that racial bias may be more evident earlier in interactions, when less information about the situation is available. One hundred thirty-nine (62 White, 42 Black, and 35 Latino) use-of-force case files and associated written narratives from a medium to large size urban police department in the United States were analyzed. Trained coders broke down the interaction narratives into discrete "sequences," or dyadic action-reaction steps involving a suspect action (level of resistance) and an officer response (level of force). A linear mixed-effects model was run on amount of police use of force by suspect race and time, with suspect resistance and suspect actions toward third-party/self as controls. Results demonstrated that Black and Latino suspects receive more force in the beginning stages of the interaction, whereas Whites escalated in level of force faster after initial levels. By breaking down police-suspect interactions into discrete sequences, the current study reveals a better understanding of when bias originates in police use of force and informs how to focus policing interventions. (PsycINFO Database Record