The Very Efficient Assessment of Need for Cognition: Developing a Six-Item Version

The health communication orientations scale: Development and two-country validation of a questionnaire that measures health communication style preferences

OBJECTIVE

Self-Determination Theory posits that everyone has a basic need for autonomy that needs to be fulfilled to establish autonomous motivation for health behavior (change). Regardless, individual differences exist in health communication style preferences. This paper outlines the development and validation of the Health Communication Orientations Scale (HCOS), a new measure to assess these preferences.

METHODS

Nationally representative online panels from the US (n = 603) and the Netherlands (n = 737) completed a survey containing the HCOS, established motivational measures, and demographic questions.

RESULTS

Factor analyses identified five subscales valid for both populations: HCOS (1) Expert, (2) Others, (3) Self, (4) Oppositional, and (5) Internet. Scores for Expert and Internet were higher in the US sample; Others, Self, and Oppositional were higher in the Dutch sample. Internal reliability for the five factors was high across samples (range 0.84-0.91). Many significant correlations with established measures were observed in both samples indicating the construct validity of the scale.

CONCLUSION

The HCOS subscales have strong psychometric properties.

PRACTICE IMPLICATIONS

The HCOS represents a novel approach to assessing communication style preferences for general and patient populations. Further investigation in how the HCOS may be used to tailor health messaging is warranted.

A comparative evaluation of measures to assess randomness in human-generated sequences

Whether and how well people can behave randomly is of interest in many areas of psychological research. The ability to generate randomness is often investigated using random number generation (RNG) tasks, in which participants are asked to generate a sequence of numbers that is as random as possible. However, there is no consensus on how best to quantify the randomness of responses in human-generated sequences. Traditionally, psychologists have used measures of randomness that directly assess specific features of human behavior in RNG tasks, such as the tendency to avoid repetition or to systematically generate numbers that have not been generated in the recent choice history, a behavior known as cycling. Other disciplines have proposed measures of randomness that are based on a more rigorous mathematical foundation and are less restricted to specific features of randomness, such as algorithmic complexity. More recently, variants of these measures have been proposed to assess systematic patterns in short sequences. We report the first large-scale integrative study to compare measures of specific aspects of randomness with entropy-derived measures based on information theory and measures based on algorithmic complexity. We compare the ability of the different measures to discriminate between human-generated sequences and truly random sequences based on atmospheric noise, and provide a systematic analysis of how the usefulness of randomness measures is affected by sequence length. We conclude with recommendations that can guide the selection of appropriate measures of randomness in psychological research.

Who gives? Characteristics of those who have taken the Giving What We Can pledge

OBJECTIVE

In the current project, we focus on another group of unusual altruists: people who have taken the Giving What We Can (GWWC) pledge to donate at least 10% of their income to charity. Our project aims to understand what is unique about this population.

BACKGROUND

Many people care about helping, but in recent years there has been a surge of research examining those whose moral concern for others goes far beyond that of the typical population. These unusual altruists (also termed extraordinary or extreme altruists or moral exemplars) make great personal sacrifices to help others-such as donating their kidneys to strangers or participating in COVID-19 vaccine challenge trials.

METHOD

In a global study (N = 536) we examine a number of cognitive and personality traits of GWWC pledgers and compare them to a country-matched comparison group.

RESULTS

In accordance with our predictions, GWWC pledgers were better at identifying fearful faces, more morally expansive and higher in actively open-minded thinking, need for cognition and two subscales of utilitarianism and, tentatively, lower in social dominance orientation. Against our predictions, they were lower in maximizing tendency. Finally, we found an inconclusive relationship between pledger status and empathy/compassion that we believe warrants further examination.

CONCLUSIONS

These findings offer initial insights into the characteristics that set apart those who have made the decision to donate a substantial portion of their income to help others.

Are vaccination uptake and non-uptake influenced by our emotions? An experimental study on the role of emotional processes and compassion

OBJECTIVE

This study examined the effects of emotional arousal, emotional competence, emotion regulation (ER), and compassion on COVID-19 and flu vaccination intentions (VI) among the French population.

DESIGN

Data were collected online from October to December 2020. Altogether, 451 participants (Mage = 35.8, SD = 16.4) were allocated to four groups. High positive (n = 104) or negative (n = 103) emotional arousal were induced into two groups using pictures and music, and compared against a control group (flu group; n = 116) and a reference group (COVID-19 group; n = 114). All groups completed questionnaires on emotional arousal, ER, emotional competence, compassion, and VI.

RESULTS

The findings indicated a significant effect of group on VI, h2=.023, 95% CI [-.002, .09]. The Group*Gender interaction on emotional arousal was non-significant, η p 2 =.015, 95%CI [.000, .041]. However, emotional arousal was observed to have a significant main effect on VI, η p 2 =.09, 95% CI [.043, .238]. The ER type*Emotional arousal*Gender interaction on ER use was trend, η p 2 = .002, 95% CI [.000, .005]. The emotional competence*ER type interaction on ER use was significant, η p 2 = .028, 95% CI [.011, .049]. Only experiential avoidance mediated the relationship between emotional arousal and VI, p < .018, 95% CI [.015, .18].

CONCLUSION

Emotional arousal impacts VI. High emotional competence only reduces the use of dysfunctional ER strategies.

Objective numeracy exacerbates framing effects from decision-making under political risk

While Prospect Theory helps to explain decision-making under risk, studies often base frames on hypothetical events and fail to acknowledge that many individuals lack the ability and motivation to engage in complex thinking. We use an original survey of US adults (N = 2813) to test Prospect Theory in the context of the May 2023 debt ceiling negotiations in the US Congress and assess whether objective numeracy moderates framing effects. We hypothesize and find evidence to suggest that most respondents are risk-averse to potential gains and risk-accepting to potential losses; however, high numerates are more risk-averse and risk-accepting to gains and losses, respectively, than low numerates. We also find that need for cognition interacts with numeracy to moderate framing effects for prospective losses, such that higher need for cognition attenuates risk-acceptance among low numerates and exacerbates risk-acceptance among high numerates. Our results are robust to a range of other covariates and in models accounting for the interaction between political knowledge and need for cognition, indicating joint moderating effects from two knowledge domains similarly conditioned by the desire to engage in effortful thinking. Our findings demonstrate that those who can understand and use objective information may remain subjectively persuaded by certain policy frames.

The effect of personality traits on over-the-top service use and binge-watching

With the freedom to consume content on preferred devices at any time as long as there is an Internet connection, the growing demand for over-the-top (OTT) services is evident. In conjunction with the rise of OTT services, binge-watching has become a prevalent behavior. In this research, we explore whether personality traits including the Big Five and need for cognition wield an effect on OTT use and binge-watching. We used a large, diverse, population representative sample from South Korea to investigate this topic. Results indicated that openness to experience and need for cognition were positively related to OTT use. Openness to experience, emotional stability, conscientiousness, and need for cognition had a negative association with binge-watching. When the sample was split by OTT frequency, the binge-watching effects were obtained exclusively for daily OTT users. For non-daily OTT users, most of the personality traits did not exert an effect on binge-watching. Implications of the current findings as well as limitations and future research are presented.

Competitive Latent Structures for the Comic Style Markers: Developing a Psychometrically Sound Short Version Using Spanish and US American Samples

The Comic Style Markers (CSM) is a questionnaire that allows a fine-grained description of how people differ in the way they display humor in their daily lives. It includes 48 statements capturing eight interrelated, yet distinct comic styles: fun, irony, wit, sarcasm, benevolent humor, satire, nonsense humor, and cynicism. Despite the independent conceptual roots of these humorous domains, the analysis of the CSM scales' latent structure shows that their empirical distinction needs to be improved. Using the information derived from a competitive latent approach, including confirmatory factor analysis, bifactor analysis, and exploratory structural equation modeling, we proposed and validated a shorter 24-item version of the CSM in a large sample of 925 Spanish individuals (SP-CSM-24). This scale-refinement improved the psychometric differentiation of the eight comic styles without undermining the good internal consistency and the temporal stability of the CSM scores. Strong invariance was held for gender and age groups, and partial scalar invariance for countries also emerged using a sample of 318 U.S. American adults. Structural equation modeling also corroborated a convincing test-criterion validity for the SP-CSM-24, with dispositional expressions of benevolent humor (positively) and cynicism (negatively) outperforming other comic styles in accounting for individuals' well-being.

Uncertain Facts or Uncertain Values? Testing the Distinction Between Empirical and Normative Uncertainty in Moral Judgments

People can be uncertain in their moral judgments. Philosophers have argued that such uncertainty can either refer to the underlying empirical facts (empirical uncertainty) or to the normative evaluation of these facts itself (normative uncertainty). Psychological investigations of this distinction, however, are rare. In this paper, we combined factor-analytical and experimental approaches to show that empirical and normative uncertainty describe two related but different psychological states. In Study 1, we asked N = 265 participants to describe a case of moral uncertainty and to rate different aspects of their uncertainty about this case. Across this wide range of moral scenarios, our items loaded onto three reliable factors: lack of information, unclear consequences, and normative uncertainty. In Study 2, we confirmed this factor structure using predefined stimulus material. N = 402 participants each rated eight scenarios that systematically varied in their degree of uncertainty regarding the consequences of the described actions and in the value conflict that was inherent to them. The empirical uncertainty factors were mainly affected by the introduction of uncertainty regarding consequences, and the normative uncertainty factor was mainly affected by the introduction of value conflict. Our studies provide evidence that the distinction between empirical and normative uncertainty accurately describes a psychological reality. We discuss the relevance of our findings for research on moral judgments and decision-making, and folk metaethics.

The Reasoning through Evidence versus Advice (EvA) Scale: Scale Development and Validation

Our well-being can improve when people heed evidence rather than simply follow familiar or charismatic advisors who neglect evidence. We developed the Reasoning through Evidence versus Advice (EvA) scale to measure individual differences in reasoning through evidence like science and statistics versus following advisors such as politicians and celebrities. No existing scales directly measure these tendencies; moreover, it was theoretically unknown whether they reflect a single dimension (from evidence- to advice-based) or distinct tendencies to value or distrust each. Our scale validation process included qualitative interviews and four studies that involved 1583 respondents (753 college graduates, 830 non-college graduates) in which we conducted exploratory and confirmatory factor analyses and tests of convergent validity, discriminant validity, and measurement invariance by gender and education. This process yielded a 16-item EvA scale with four dimensions: Pro-evidence, Anti-evidence, Pro-advice, and Anti-advice. In assessing criterion validity, these tendencies identified individual differences in important, real-world attitudes and behaviors, including susceptibility to health misinformation, adherence to CDC guidelines on social distancing, confidence in the COVID vaccine, science curiosity, and religiosity. The EvA scale extends our understanding of individual differences in reasoning tendencies that shape critical attitudes, decisions, and behaviors and can help promote informed decisions.

The impact of employees' experience of high-performance work systems on innovative behavior in professional service firms

This research examines the impact of employees' experience of high-performance work systems (HPWS) on their innovative behavior. The study draws upon social exchange theory to propose that employees' experience of HPWS influences their innovative behavior directly and through sequential mediation of social capital development and knowledge-sharing behavior. Additionally, the study uses the Elaboration Likelihood Model to highlight that individuals' need for cognition strengthens the relationship between employees' knowledge-sharing and innovative behaviors. The study employed a time-lagged quantitative research design with survey data from 262 job incumbents in professional service firms. The proposed model was tested using the PLS-SEM two-stage approach. The findings of the study confirm the proposed direct and indirect relationships. Moreover, the findings also confirm that the need for cognition strengthens the relationship between knowledge-sharing and individual innovation behaviors. The study posits that employees' experience of HRM systems can influence their innovative behavior as a reciprocal exchange toward the employer. Moreover, this study presents a comprehensive model that highlights the interplay of social and cognitive factors that can influence the relationship between HPWS and employees' innovation behavior. This study also fills a gap in the existing literature by highlighting the antecedents of innovative behavior in professional service firms.

The dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and predictors of camouflaging in a representative general population sample

OBJECTIVES

Some autistic people "camouflage" their differences by modeling neurotypical behaviors to survive in a neurotypical-dominant social world. It remains elusive whether camouflaging is unique to autism or if it entails similar experiences across human groups as part of ubiquitous impression management (IM). Here we examined camouflaging engagement and theoretical drivers in the general population, drawing on the transactional IM framework and contextualizing findings within both contemporary autism research and the past IM literature.

METHODS

A large representative U.S. general population sample (N = 972) completed this survey study. We combined exploratory item factor analysis and graph analysis to triangulate the dimensional structure of the Camouflaging Autistic Traits Questionnaire (CAT-Q) and examined its correspondence with prior autism-enriched psychometric findings. We then employed hierarchical regression and elastic-net regression to identify the predictors of camouflaging, including demographic (e.g., age, gender), neurodivergence (i.e., autistic and ADHD traits), socio-motivational, and cognitive factors.

RESULTS

We found a three-factor/dimensional structure of the CAT-Q in the general population, nearly identical to that found in previous autism-enriched samples. Significant socio-motivational predictors of camouflaging included greater social comparison, greater public self-consciousness, greater internalized social stigma, and greater social anxiety. These camouflaging drivers overlap with findings in recent autistic camouflaging studies and prior IM research.

CONCLUSIONS

The novel psychometric and socio-motivational evidence demonstrates camouflaging as a shared social coping experience across the general population, including autistic people. This continuity guides a clearer understanding of camouflaging and has key implications for autism scholars, clinicians, and the broader clinical intersecting with social psychology research. Future research areas are mapped to elucidate how camouflaging/IM manifests and functions within person-environment transactions across social-identity and clinical groups.

The development and cross-national validation of the short health literacy for school-aged children (HLSAC-5) instrument

Health literacy is an asset for and indicator of adolescents' health and wellbeing, and should therefore be monitored and addressed across countries. This study aimed to develop and validate a shorter version of the original 10-item health literacy for school-aged children instrument in a cross-national context, using data from the health behaviour in school-aged children 2017/18 survey. The data were obtained from 25 425 adolescents (aged 13 and 15 years) from seven European countries. Determination was made of the best item combination to form a shorter version of the health literacy instrument. Thereafter, the structural validity, reliability, measurement invariance, and criterion validity of the new 5-item instrument were examined. Confirmatory factor analysis showed a good model fit to the data across countries and in the total sample, confirming the structural validity (CFI = 0.995, TLI = 0.989, SRMR = 0.011, RMSEA = 0.031). The internal consistency of the instrument was at a good level across countries (α = 0.87-0.98), indicating that the instrument provided reliable scores. Configural and metric invariance was established across genders, ages, and countries. Scalar invariance was achieved for age and gender groups, but not between countries. This indicated that the factor structure of the scale was similar, but that there were differences between the countries in health literacy levels. Regarding criterion validity, structural equation modelling showed a positive association between health literacy and self-rated health in all the participating countries. The new instrument was found to be valid and reliable for the purposes of measuring health literacy among adolescents in a cross-national context.

Measuring digital transformation stress at the workplace-Development and validation of the digital transformation stress scale

Despite the unquestionable advantages of digital transformation (DT) in organizations, the very process of DT could have an impact on the level of stress of the employees. The negative effects of the digital transformation process can be observed during the implementation of information and communication technologies (ICT) solutions. They are further enhanced by the effects of COVID-19 pandemic, as digital transformation has accelerated to allow for remote work. Herein we distinguish between general stress at the workplace and the very specific type of stress, namely digital transformation stress (DTS). We assumed that this type of stress appears when rapid implementation of ICT solutions is introduced with time pressure and incertitude of further results. To quantify this phenomenon, we developed a new self-report scale-the Digital Transformation Stress Scale (DTSS), measuring employees' stress stemming from the process of digital transformation in organizations. The psychometric validity of the scale was evaluated in two studies: Study1 conducted at the beginning of COVID-19 pandemic in 2020 (N = 229) and Study 2 in 2021 (N = 558), after a year of mostly remote work. The results confirmed good reliability with Cronbach's Alpha α = .91 in Study 1 and α = .90 in Study 2 and assumed unidimensional factorial validity of the scale in both studies. All items of the scale had good difficulty and discrimination values evaluated in Item Response Theory, i.e., IRT approach. The scale showed predicted convergent validity as the indicator of the digital transformation stress moderately correlated with general stress at work. Moreover, the assumption that even employees with high ICT skills could be affected by DTS was confirmed. Additionally, the results indicated that digital transformation stress was significantly higher among employees who reported both issues: ongoing digital solutions projects at the workplace and high impact of COVID-19 pandemic on their work. The scale could be used in future work on measuring and counteracting digital transformation stress at the workplace.

Preferential Choice to Exert Cognitive Effort in Children with ADHD: a Diffusion Modelling Account

Greater sensitivity to the cost of effortful engagement has long been implicated in the development of Attention Deficit Hyperactivity Disorder (ADHD). The current study evaluated preferential choice to engage in demanding tasks, and did so in combination with computational methods to interrogate the process of choice. Children aged 8-12 with (n = 49) and without (n = 36) ADHD were administered the cognitive effort discounting paradigm (COG-ED, adapted from Westbrook et al., 2013). Diffusion modelling was subsequently applied to the choice data to allow for a better description of the process of affective decision making. All children showed evidence of effort discounting, but, contrary to theoretical expectations, there was no evidence that children with ADHD judged effortful tasks to be lower in subjective value, or that they maintained a bias towards less effortful tasks. However, children with ADHD developed a much less differentiated mental representation of demand than their non-ADHD counterparts even though familiarity with and exposure to the experience of effort was similar between groups. Thus, despite theoretical arguments to the contrary, and colloquial use of motivational constructs to explain ADHD-related behavior, our findings strongly argue against the presence of greater sensitivity to costs of effort or reduced sensitivity to rewards as an explanatory mechanism. Instead, there appears to be a more global weakness in the metacognitive monitoring of demand, which is a critical precursor for cost-benefit analyses that underlie decisions to engage cognitive control.

The non-unitary nature of information preference

Factors affecting information-seeking behaviour can be task-endogenous (e.g., probability of winning a gamble), or task-exogenous (e.g., personality trait measures). Various task-endogenous factors affecting non-instrumental information-seeking behaviour have been identified, but it is unclear how task-exogenous factors affect such behaviour, and if they interact with task-endogenous factors. In an online information seeking experiment (N = 279), we focus on the role that outcome probability, as a task-endogenous factor, has on information preferences. We find reliable preference for advance information on highly probable gains and low preference for highly probable losses. Comparisons with individual trait measures of information preference (e.g., intolerance of uncertainty scale, obsessive-compulsive inventory, information preferences scale) reveal minimal association between these task-exogenous factors with choice task performance. We also find minimal interaction between outcome probability and individual trait measures. Despite the choice task and trait measures purportedly tapping the same (or similar) construct, the absence of clear relationships ultimately suggests a multi-dimensional nature of information preference.

Differences in decisions affected by cognitive biases: examining human values, need for cognition, and numeracy

A better understanding of factors that can affect preferences and choices may contribute to more accurate decision-making. Several studies have investigated the effects of cognitive biases on decision-making and their relationship with cognitive abilities and thinking dispositions. While studies on behaviour, attitude, personality, and health worries have examined their relationship with human values, research on cognitive bias has not investigated its relationship to individual differences in human values. The purpose of this study was to explore individual differences in biased choices, examining the relationships of the human values self-direction, conformity, power, and universalism with the anchoring effect, the framing effect, the certainty effect, and the outcome bias, as well as the mediation of need for cognition and the moderation of numeracy in these relationships. We measured individual differences and within-participant effects with an online questionnaire completed by 409 Brazilian participants, with an age range from 18 to 80 years, 56.7% female, and 43.3% male. The cognitive biases studied consistently influenced choices and preferences. However, the biases showed distinct relationships with the individual differences investigated, indicating the involvement of diverse psychological mechanisms. For example, people who value more self-direction were less affected only by anchoring. Hence, people more susceptible to one bias were not similarly susceptible to another. This can help in research on how to weaken or strengthen cognitive biases and heuristics.

Direct versus indirect measures of mixed emotions in predictive models: a comparison of predictive validity, multicollinearity, and the influence of confounding variables

Mixed emotions have been assessed using both direct measures that utilize self-report questionnaires as well as indirect measures that are computed from scores of positive and negative emotions. This study provides a pre-registered methodological examination on the use of direct and indirect measures of mixed emotions in predictive models. Two samples (N = 749) were collected, and path analyses were performed to compare direct measures and indirect measures in predicting psychological conflict, receptivity, and well-being, controlling for demographics, positive emotions, and negative emotions. We also tested whether trait dialecticism, need for cognition, social desirability, or acquiescence could account for these associations. In both samples, results suggest that indirect measures may be more susceptible to multicollinearity when controlling for positive and negative emotions. Specifically, variance inflation factors (VIF) were consistently higher for indirect measures calculated using the minimum index (MIN; VIFSample-1 = 3.53; VIFSample-2 = 9.46) than direct measures (VIFSample-1 = 2.52; VIFSample-2 = 1.68). Direct measures remained consistently associated with increased conflict and reduced coherence upon controlling for positive and negative emotions, while indirect measures remained consistently associated only with increased conflict. We found little evidence that response biases explained associations between direct measures or indirect measures with each of the outcomes. Specifically, associations between mixed emotions with psychological conflict, receptivity, and well-being largely remained unchanged in models that controlled for trait dialecticism, need for cognition, social desirability, or acquiescence. Implications and recommendations based on our findings are discussed.

The 19-Item Environmental Knowledge Test (EKT-19): A short, psychometrically robust measure of environmental knowledge

Environmental knowledge is considered an important pre-cursor to pro-environmental behaviour. Though several tools have been designed to measure environmental knowledge, there remains no concise, psychometrically grounded measure. We validated an existing measure in a British sample, confirming that it had good one- and three-factor structures in line with previous literature. For the first time in this field, we built upon previous Classical Test Theory approaches and used discrimination values derived from Item Response Theory to select the best items, resulting in the 19-Item Environmental Knowledge Test (EKT-19). This measure retained a clear factor structure and had moderate-to-good internal reliability, indicating that it is a parsimonious and psychometrically robust measure for the assessment of overall and specific types of environmental knowledge. The theoretical implications and real-world applications of this measure are discussed.

Explaining Health Misinformation Belief through News, Social, and Alternative Health Media Use: The Moderating Roles of Need for Cognition and Faith in Intuition

Explaining the spread and impact of health misinformation has garnered considerable attention with the uptake of social media and group messaging applications. This study contributes to that line of work by investigating how reliance on multiple digital media may help support or suppress misinformation belief, and how individual differences in misinformation susceptibility condition this process. Alternative health outlets (AH media), advocating home/homeopathic remedies over conventional medicine can be important sources of misinformation, yet are largely ignored previously. In this study, we first test how reliance on different platforms predicts health misinformation belief. Drawing from the elaboration likelihood model, we further investigate how need for cognition (NFC) and faith in intuition (FI) moderate the relationship between news reliance and susceptibility to misinformation. We conducted a survey in Singapore, Turkey, and the U.S (N = 3,664) to measure how these proposed relationships explain misinformed beliefs about vaccines, genetically modified foods and alternative medicine. We found reliance on online legacy news was negatively associated with the likelihood of believing health misinformation, while the reverse was true for social media and AH media. Additionally, those with both greater NFC and FI were more susceptible to health misinformation when they relied on social media and AH media more. In contrast, neither NFC nor FI moderated the relationship between reliance on online legacy news and health misinformation belief. These findings, mostly consistent across countries, also show that extensive reliance on social media and AH media for news mostly overwhelms the individual differences in predicting misinformation belief.

People are curious about immoral and morally ambiguous others

Looking to the popularity of superheroes, true crime stories, and anti-heroic characters like Tony Soprano, we investigated whether moral extremity, especially moral badness, piques curiosity. Across five experiments (N = 2429), we examine moral curiosity, testing under what conditions the moral minds of others spark explanation-seeking behavior. In Experiment 1, we find that among the most widely watched Netflix shows in the US over a five-month period, the more immoral the protagonist, the more hours people spent watching. In Experiments 2a and 2b, we find that when given a choice to learn more about morally good, bad, ambiguous, or average others, people preferred to learn more about morally extreme people, both good and bad. Experiment 3 reveals that people are more curious for explanations about (vs. descriptions of) morally bad and ambiguous people compared to morally good ones. Finally, Experiment 4 tests the uniqueness of curiosity for moral ambiguity. We find that people are more drawn to moral rather than aesthetic ambiguity, suggesting that ambiguity, which is cognitively taxing and sometimes avoided, preferentially engenders information seeking in the moral domain. These findings suggest deviations from moral normativity, especially badness, spur curiosity. People are curious about immorality and agents who differ from the norm.

Sexist Attitudes in Online Video Gaming: Development and Validation of the Sexism Against Women Gamers Scale in Spanish and English

Sexism is an increasingly prevalent problem in the gaming community. However, until now, assessment instruments focused on the construct “sexism against women gamers” are lacking. We present an eight-item self-report scale: Sexism Against Women Gamers Scale (SAWGS). We studied the reliability and validity of the scores of Spanish and English versions across five independent samples ( N = 2,437), with participants from Spain and the United States. Scores on both versions demonstrated high reliability, while exploratory and confirmatory factor analyses supported their unidimensional structure. The analysis established configural, metric, and scalar invariance across gender. SAWGS was invariant at the configural level across countries. SAWGS scores were independent of social desirability, positively correlated with myths about intimate-partner violence against women, sexism, and social dominance orientation, and correlated negatively with feminism. Using two fictitious scenarios of sexism in online gaming, we found that gamers with higher scores on SAWGS showed a greater tendency to downplay a sexist incident and proposed a less severe punishment for toxic gamers. The SAWGS explained additional variance on responses to scenarios beyond that explained by other measures. The detection of sexism should make it possible to develop programs for its eradication and avoid negative consequences for women gamers. Additional online materials for this article are available on PWQ's website at http://journals.sagepub.com/doi/suppl/10.1177/03616843231162837

The Short Food Allergy Quality of Life Questionnaire (FAQLQ-12) for Adults

BACKGROUND

The Food Allergy Quality of Life Questionnaire (FAQLQ) is the most widely used measure to assess health-related quality of life in food allergy. However, its length can lead to a series of disadvantages, such as reduced or incomplete participation and boredom and disengagement, affecting data quality, reliability, and validity.

OBJECTIVE

We shortened the well-known FAQLQ for adults and propose the FAQLQ-12.

METHODS

We applied reference-standard statistical analyses, mixing classic test theory and item response theory to identify relevant items for the new short form and confirm its structure fit and reliability. More specifically, we employed discrimination, difficulty, and information levels (item response theory), confirmatory factor analysis, Pearson's correlations, and reliability analysis (McDonald ω and Cronbach α).

RESULTS

We chose items with the highest discrimination values to compose the shortened FAQLQ because they were among the ones with the best difficulty levels and the highest amount of individual information. We retained three items per factor because this number allowed for acceptable reliability levels, resulting in 12 items. The FAQLQ-12 presented a better model fit compared with the complete version. The correlation patterns and reliability levels were similar for both the 29 and 12 versions.

CONCLUSIONS

Although the full version of the FAQLQ remains a reference standard to assess food allergy quality of life, the FAQLQ-12 is introduced as a powerful and beneficial alternative. It can help participants, researchers, and clinicians in specific settings, such as dealing with time and budget limitations, and provides high-quality and reliable responses.

Measuring cognitive effort without difficulty

An important finding in the cognitive effort literature has been that sensitivity to the costs of effort varies between individuals, suggesting that some people find effort more aversive than others. It has been suggested this may explain individual differences in other aspects of cognition; in particular that greater effort sensitivity may underlie some of the symptoms of conditions such as depression and schizophrenia. In this paper, we highlight a major problem with existing measures of cognitive effort that hampers this line of research, specifically the confounding of effort and difficulty. This means that behaviour thought to reveal effort costs could equally be explained by cognitive capacity, which influences the frequency of success and thereby the chance of obtaining reward. To address this shortcoming, we introduce a new test, the Number Switching Task (NST), specially designed such that difficulty will be unaffected by the effort manipulation and can easily be standardised across participants. In a large, online sample, we show that these criteria are met successfully and reproduce classic effort discounting results with the NST. We also demonstrate the use of Bayesian modelling with this task, producing behavioural parameters which can be associated with other measures, and report a preliminary association with the Need for Cognition scale.

Sharing of misinformation is habitual, not just lazy or biased

Why do people share misinformation on social media? In this research (N = 2,476), we show that the structure of online sharing built into social platforms is more important than individual deficits in critical reasoning and partisan bias-commonly cited drivers of misinformation. Due to the reward-based learning systems on social media, users form habits of sharing information that attracts others' attention. Once habits form, information sharing is automatically activated by cues on the platform without users considering response outcomes such as spreading misinformation. As a result of user habits, 30 to 40% of the false news shared in our research was due to the 15% most habitual news sharers. Suggesting that sharing of false news is part of a broader response pattern established by social media platforms, habitual users also shared information that challenged their own political beliefs. Finally, we show that sharing of false news is not an inevitable consequence of user habits: Social media sites could be restructured to build habits to share accurate information.

Audio delivery of health information: An NLP study of information difficulty and bias in listeners

Health literacy is the ability to understand, process, and obtain health information and make suitable decisions about health care [3]. Traditionally, text has been the main medium for delivering health information. However, virtual assistants are gaining popularity in this digital era; and people increasingly rely on audio and smart speakers for health information. We aim to identify audio/text features that contribute to the difficulty of the information delivered over audio. We are creating a health-related audio corpus. We selected text snippets and calculated seven text features. Then, we converted the text snippets to audio snippets. In a pilot study with Amazon Mechanical Turk (AMT) workers, we measured the perceived and actual difficulty of the audio using the response of multiple choice and free recall questions. We collected demographic information as well as bias about doctors' gender, task preference, and health information preference. Thirteen workers completed thirty audio snippets and related questions. We found a strong correlation between text features lexical chain, and the dependent variables, and multiple choice response, percentage of matching word, percentage of similar word, cosine similarity, and time taken (in seconds). In addition, doctors were generally perceived to be more competent than warm. How warm workers perceive male doctors correlated significantly with perceived difficulty.

Computational underpinnings of partisan information processing biases and associations with depth of cognitive reasoning

Despite unprecedented access to information, partisans increasingly disagree about basic facts that are backed by data, posing a serious threat to a democracy that relies on finding common ground based on objective truths. We examine the underpinnings of this phenomenon using drift diffusion modeling (DDM). Partisans (N = 148) completed a sequential sampling task where they evaluated the honesty of Democrat or Republican politicians during a debate based on fact-check scores. We found that partisans required less and weaker evidence to correctly categorize the ingroup as more honest, and were more accurate on trials when the ingroup candidate was more honest, compared to the outgroup. DDM revealed that such tendencies arise from both a prior preference for categorizing the ingroup as more honest (i.e., biased starting point) and more precise accumulation of information favoring the ingroup candidate compared to the outgroup (i.e., biased drift rate). Moreover, individual differences in cognitive reasoning moderated task performance for the most devoted partisans and maintained divergent associations with the DDM parameters. This suggests that partisans may reach biased conclusions via different pathways depending on their depth of cognitive reasoning. These findings provide key insights into the mechanisms driving partisan divides in polarized environments, and can inform interventions that reduce impasse and conflict.

The effect of partitioned framing vs. all-inclusive framing of donation amount on prosocial behavior: focus on the moderation effect of psychological characteristics

Despite numerous studies on individual charitable donations and cause-related marketing have been conducted, the framing of the donation amount has not been studied. This research suggests that people's intention to donate to charity differs depending on whether the donation amount is framed as all-inclusive or partitioned. The main effect of partitioned framing was moderated by individual differences in the need for cognition and regulatory focus. The results of our research are threefold. First, people responded more positively to engage in prosocial behavior in the partitioned donation amount condition than in the all-inclusive condition, even when the total amounts were the same. Second, the framing effect of the donation amount differed according to the need for cognition. Individuals with a high need for cognition (NFC) had a higher intention to donate in the partitioned donation amount condition than in the all-inclusive condition, while individuals with low NFC did not show differences in either condition. Third, the framing effect of the donation amount differed according to regulatory focus. Prevention-focused individuals were more willing to donate in the partitioned condition than in the all-inclusive condition, while promotion-focused individuals did not show differences in either condition. In addition, the interaction of framing and regulatory focus on donation intention was mediated by the perceived authenticity of the donation organization. This research has several academic and practical implications for effective corporate social responsibility activities.

Psychological predictors of consumer-level virtual reality technology adoption and usage

In recent years, virtual reality (VR) technology has been mainstreamed for at-home use, with various consumer-oriented devices released by media firms such as Meta, Google, Samsung, and HTC. The present research investigates the role of psychological traits-including immersive tendencies, absorption, sensation seeking, need for cognition, neophobia, and belief in science-as well as trait levels of individual innovativeness, self-perception of social well-being, and owner demographics, in predicting VR adoption rates and sustained use over time. Separate analyses were conducted for different classes of VR device (fixed, mobile, and standalone devices). In general, psychological factors generally emerged as more determinative of adoption than did demographics. Users' immersive tendencies predicted earlier adoption of VR technology while absorption was associated with later adoption, with both predictive of higher overall initial usage of different types of devices. Additionally, perceiving oneself as socially successful was associated with higher initial VR usage, while a tendency to see one's emotions as influenced by in-person rather than online contacts was negatively associated with usage. Finally, belief in science predicted greater consistency in usage over time while higher levels of absorption were associated with unstable usage patterns. These findings expand upon the limited work previously investigating the role of individual differences in adoption of VR and mark the promise of psychometrics for understanding the diffusion and continued usage of consumer-facing VR devices.

Meta-summaries effective for improving awareness and understanding of COVID-19 vaccine safety research

Despite the efficacy, safety, and availability of COVID-19 vaccines, a lack of awareness and trust of vaccine safety research remains an important barrier to public health. The goal of this research was to design and test online meta-summaries-transparent, interactive summaries of the state of relevant studies-to improve people's awareness and opinion of vaccine safety research. We used insights from a set of co-design interviews (n = 22) to develop meta-summaries to highlight metascientific information about vaccine safety research. An experiment with 863 unvaccinated participants showed that our meta-summaries increased participants' perception of the amount, consistency, and direction of vaccine safety research relative to the U.S. Center for Disease Control (CDC) webpage, and that participants found them more trustworthy than the CDC page as well. They were also more likely to discuss it with others in the week following. We conclude that direct summaries of scientific research can be a useful communication tool for controversial scientific topics.

Justification of recommender systems results: a service-based approach

With the increasing demand for predictable and accountable Artificial Intelligence, the ability to explain or justify recommender systems results by specifying how items are suggested, or why they are relevant, has become a primary goal. However, current models do not explicitly represent the services and actors that the user might encounter during the overall interaction with an item, from its selection to its usage. Thus, they cannot assess their impact on the user's experience. To address this issue, we propose a novel justification approach that uses service models to (i) extract experience data from reviews concerning all the stages of interaction with items, at different granularity levels, and (ii) organize the justification of recommendations around those stages. In a user study, we compared our approach with baselines reflecting the state of the art in the justification of recommender systems results. The participants evaluated the Perceived User Awareness Support provided by our service-based justification models higher than the one offered by the baselines. Moreover, our models received higher Interface Adequacy and Satisfaction evaluations by users having different levels of Curiosity or low Need for Cognition (NfC). Differently, high NfC participants preferred a direct inspection of item reviews. These findings encourage the adoption of service models to justify recommender systems results but suggest the investigation of personalization strategies to suit diverse interaction needs.

Attitudes Towards Food Allergy Scale: Psychometric properties and associations with food allergy quality of life and anxiety

Background

Daily, we tend to evaluate things positively or negatively, according to whether they follow the general information available about them. This attitudinal assessment is represented through evaluative dimensions (e.g., good‐bad) that vary in terms of valence (positive or negative) and strength (less or more). Despite its importance, there is an urge in food allergy (FA) research to properly assess attitudes based on the underlying mechanisms that define attitudes.

Objective

The present research aimed to develop the Attitudes Towards Food Allergy scale (ATFAS), the first attitudinal measure of FA. Method: Two studies were performed (n = 1049), using a range of robust statistical analyses (e.g., Item Response Theory, Exploratory Factor Analysis, Confirmatory Factor Analysis).

Results

Our results provided strong evidence for a unidimensional attitudinal structure, across groups of non‐allergic individuals and food‐allergic, besides recommended reliability levels. All items presented suitable parameters (i.e., discrimination, difficulty, information). Finally, the ATFAS significantly predicted FA quality of life, mediated by FA anxiety.

Conclusion

We are confident that the ATFAS is a novel and necessary measure, that can help to widen how we view and assess FA. The development of studies that assess attitudes towards FA based on our general information about the disorder would help to deepen our understanding of their links to other health‐related variables and their potential impact on quality of life, reduce FA's stigma, and develop more positive attitudes.

Explanatory artificial intelligence (YAI): human-centered explanations of explainable AI and complex data

In this paper we introduce a new class of software tools engaged in delivering successful explanations of complex processes on top of basic Explainable AI (XAI) software systems. These tools, that we call cumulatively Explanatory AI (YAI) systems, enhance the quality of the basic output of a XAI by adopting a user-centred approach to explanation that can cater to the individual needs of the explainees with measurable improvements in usability. Our approach is based on Achinstein’s theory of explanations, where explaining is an illocutionary (i.e., broad yet pertinent and deliberate) act of pragmatically answering a question. Accordingly, user-centrality enters in the equation by considering that the overall amount of information generated by answering all questions can rapidly become overwhelming and that individual users may perceive the need to explore just a few of them. In this paper, we give the theoretical foundations of YAI, formally defining a user-centred explanatory tool and the space of all possible explanations, or explanatory space, generated by it. To this end, we frame the explanatory space as an hypergraph of knowledge and we identify a set of heuristics and properties that can help approximating a decomposition of it into a tree-like representation for efficient and user-centred explanation retrieval. Finally, we provide some old and new empirical results to support our theory, showing that explanations are more than textual or visual presentations of the sole information provided by a XAI.

Psychometric parameters of food allergy quality of life during an allergen immunotherapy trial

BACKGROUND

The Food Allergy Quality of Life Questionnaire-Parent Form (FAQLQ-PF) is a commonly used patient-reported outcome measure in food allergy (FA) research. It was developed before FA treatment clinical trials were commonplace and is used as a secondary outcome measure in pivotal FA treatment trials. We examined the psychometric properties of the FAQLQ-PF and its relevance to children with peanut allergy engaged in an epicutaneous immunotherapy (EPIT) clinical trial.

METHODS

Analysis was performed on 26 universally answered items of the FAQLQ-PF, from assessments undertaken during the phase 3 PEPITES study (baseline, Month 12), which examined the safety and efficacy of EPIT for children with peanut allergy aged 4-11 years. Item response theory (IRT) was used to assess psychometric parameters of the FAQLQ-PF (i.e., discrimination, difficulty, and information). Confirmatory factor analysis was also employed; reliability was assessed using McDonald's omega (ω) and Cronbach's alpha (α).

RESULTS

A total of 23 of 26 items presented very high discrimination levels (>1.7), and all 26 fell within the recommended difficulty threshold (between -1.5 and 1.5). The items contributed a reasonable information level for their respective factors/subdomains. The measure also presented a marginally acceptable model fit for the 3-factor structure (e.g., comparative fit index = 0.88, Tucker-Lewis index = 0.87) and good reliability levels across time points (ω and α > 0.90).

CONCLUSIONS

Herein, we present a novel reanalysis of the FAQLQ-PF items using IRT. The longitudinal performance of individual items and subscales was corroborated, and items with the highest discrimination were identified, showing that the tool is suitable for longitudinal measurements in FA treatment trials.

Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces

We propose a new method for generating explanations with Artificial Intelligence (AI) and a tool to test its expressive power within a user interface. In order to bridge the gap between philosophy and human-computer interfaces, we show a new approach for the generation of interactive explanations based on a sophisticated pipeline of AI algorithms for structuring natural language documents into knowledge graphs, answering questions effectively and satisfactorily. With this work we aim to prove that the philosophical theory of explanations presented by Achinstein can be actually adapted for being implemented into a concrete software application, as an interactive and illocutionary process of answering questions. Specifically, our contribution is an approach to frame illocution in a computer-friendly way, to achieve user-centrality with statistical question answering. Indeed, we frame the illocution of an explanatory process as that mechanism responsible for anticipating the needs of the explainee in the form of unposed, implicit, archetypal questions, hence improving the user-centrality of the underlying explanatory process. Therefore, we hypothesise that if an explanatory process is an illocutionary act of providing content-giving answers to questions, and illocution is as we defined it, the more explicit and implicit questions can be answered by an explanatory tool, the more usable (as per ISO 9241-210) its explanations. We tested our hypothesis with a user-study involving more than 60 participants, on two XAI-based systems, one for credit approval (finance) and one for heart disease prediction (healthcare). The results showed that increasing the illocutionary power of an explanatory tool can produce statistically significant improvements (hence with a P value lower than.05) on effectiveness. This, combined with a visible alignment between the increments in effectiveness and satisfaction, suggests that our understanding of illocution can be correct, giving evidence in favour of our theory.

Psychometric Properties of the Academic Procrastination Scale (APS) in Brazil

Academic procrastination has a significant influence on students’ lives, being related to several relevant variables, such as lower self-esteem, higher levels of academic anxiety, and fear of failure. The development and adaptation of reliable instruments help to assure a more in-depth study of academic procrastination. The present research aimed to adapt and assess evidence of validity and reliability of the scores of the Academic Procrastination Scale (APS) for a Brazilian sample ( N = 1241). In Study 1, an exploratory factor analysis supported the unidimensional structure of the APS (25 items). In Study 2, the one-factor structure had an adequate model fit via confirmatory factor analysis. Also, through item response theory, the APS items showed adequate discrimination, difficulty, and level of information. The scores of the APS were also significantly correlated with the scores of the Tuckman Procrastination Scale, providing evidence of convergent validity.

From anecdote to evidence: the relationship between personality and need for cognition of developers

There is considerable anecdotal evidence suggesting that software engineers enjoy engaging in solving puzzles and other cognitive efforts. A tendency to engage in and enjoy effortful thinking is referred to as a person's 'need for cognition.' In this article we study the relationship between software engineers' personality traits and their need for cognition. Through a large-scale sample study of 483 respondents we collected data to capture the six 'bright' personality traits of the HEXACO model of personality, and three 'dark' personality traits. Data were analyzed using several methods including a multiple Bayesian linear regression analysis. The results indicate that ca. 33% of variation in developers' need for cognition can be explained by personality traits. The Bayesian analysis suggests four traits to be of particular interest in predicting need for cognition: openness to experience, conscientiousness, honesty-humility, and emotionality. Further, we also find that need for cognition of software engineers is, on average, higher than in the general population, based on a comparison with prior studies. Given the importance of human factors for software engineers' performance in general, and problem solving skills in particular, our findings suggest several implications for recruitment, working behavior, and teaming.

The Influence of Emotional Framing and Graph Complexity on Biases in Graphical Memory for COVID-19 Data in a Lifespan Sample

The coronavirus disease 2019 (COVID-19) is one of the biggest recent threats to public health. People rely on news for up-to-date information during such major events, but news is often emotional in nature, which can affect how we learn and remember information. Additionally, graphs are widely used in news, but comprehension and memory for graphical information can be influenced by various factors, including emotions. We tested how the emotional framing of news would affect graphical memory across the lifespan. Participants studied a graph showing the number of weekly or daily new COVID-19 deaths after reading COVID-19 news framed as more positive or negative. Participants also reported their attitudes toward the pandemic, political leaning, news consumption habits, mood, and need for cognition. There was no overall difference in memory across conditions or age, but memory was more biased by the emotional framing of the news when the graphs were less visually complex. A number of exploratory correlations are also discussed. The findings indicate that framing news with a more positive or negative lens can bias understanding of and memory for related graphical information in some cases and can have implications for improving media literacy and public health compliance.

Predicting attitudes towards easing COVID-19 restrictions in the United States of America: The role of health concerns, demographic, political, and individual difference factors

Despite rising cases of COVID-19 in the United States of America, several states are easing restrictions (e.g., relaxing physical distancing requirements, reopening businesses) that were imposed to limit community transmission of the virus. Individuals hold differing opinions regarding whether restrictions should continue to be imposed or lifted, evidenced, for example, by debate and protests regarding reopening of businesses and venues. Health and social psychological research suggest that perceptions of COVID-19related risk, experiences of the virus, and individual difference factors can help explain individuals’ attitudes towards health initiatives and their tendency to be persuaded towards a specific course of action. The purpose of this study was to investigate what factors influence support or opposition to easing COVID-19-related restrictions. A sample of 350 United States citizens, responding to an anonymous survey, were asked about the extent to which they support/oppose easing of COVID-19-related restrictions, both generally and in relation to specific restrictions. Respondents completed measures of their experiences of COVID-19, individual difference factors, and demographic variables, including political affiliation and degree of social and economic conservatism. In a series of regression analyses, significant demographic predictors of support or opposition for easing restrictions were gender, age, ethnicity, and education, with political affiliation and degree of social and economic conservatism also predicting attitudes. Experiences related to COVID-19 that predicted attitudes were concerns for self and family, perceptions of threat posed by the virus, perceived ability to adhere to restrictions, willingness to take government direction, and belief in COVID-19-related conspiracy theories. At an individual differences level, uncertainty avoidance, collectivism, long-term orientation, masculinity, empathic concern, personal distress, reactance, and general conspiracy theory beliefs all significantly precited attitudes to easing restrictions. Understanding the factors that help explain attitudes towards COVID-19 restrictions can inform how best to position health messaging and initiatives going forward, particularly as states or countries open borders.

The food allergy COPE inventory: Adaptation and psychometric properties

Background

Food allergy (FA) has been shown to have an adverse impact on food allergy quality of life (FAQL). To more fully understand this impact, correlates and predictors of FAQL must be reliably measured. Coping is one such factor. In the present study (n = 200), we sought to adapt the widely used Coping Orientation to Problems Experienced (COPE) Inventory and its 15 distinct strategies to food allergy, named FA-COPE Inventory. More specifically, we propose a long (60-item) and short (30-item) version of the measure.

Methods

To examine the robustness of the newly adapted FA-COPE Inventory, we tested whether the 15-factor structure of the adapted version would present good psychometrical properties, using gold standard psychometric techniques. We used Confirmatory Factor Analysis to assess model fit, McDonald's omega, and inter-item correlations to assess reliability, and Pearson's correlation to assess convergent validity with a generic coping measure and satisfaction with FA life.

Results

Our results showed a good model fit (eg, CFI and TLI ≥ .94) for the 15-factor structure of the measure's long and short version. These factors also presented reliability levels aligned with the coping literature. Finally, the majority of the FA-COPE Inventory factors (eg, acceptance) were significantly associated with the generic coping measure and satisfaction with FA life.

Conclusion

Both the long and short adapted FA-COPE Inventory showed a good fit to food allergy issues. These measures can help facilitate the identification of the most commonly used strategies to deal with FA. Their use can lead to a more in-depth understanding of the impact of the coping strategies and how they can help improve the quality of life of those impacted by the disease.

Partner influences on ICT use variety among middle-aged and older adults: The role of need for cognition

This exploratory study examined both individual and dyadic predictors of variety of ICT use. Need for cognition is associated with engaging in a variety of intellectually stimulating practices and a prominent individual difference predictor of the types of ICTs people use. Participants were a subset of 542 heterosexual couples (N = 1084 individuals; 50% women; M age = 63.65; 83.9% Caucasian) from the Health and Retirement Study with access to the internet. Individuals high in need for cognition were more likely to use ICTs for a variety of reasons. Being married to someone high in need for cognition was associated with a greater variety of ICT ownership, ICTs for financial/transactional activities, and ICTs for miscellaneous reasons (e.g., research), although these effects were relatively small and the evidence for partner effects was relatively weak according to the distribution of p-values. Partner effects were not significant for social technology or internet-enabling ICTs; cross-partner interactions provided suggestive evidence for compensating for lower levels of individual need for cognition. Findings are discussed in relation to the relational and contextual determinants of ICT use in older adulthood.

Who endorses conspiracy theories? A moderated mediation model of Chinese and international social media use, media skepticism, need for cognition, and COVID-19 conspiracy theory endorsement in China

During the COVID-19 pandemic, various conspiracy theories have been circulating through social media platforms. Scholars have raised concerns about the negative ramifications of conspiracy theories, such as the deterrence of preventive measures. Against this backdrop, the current study analyzed an online survey (N = 731) from China and examined the conditional indirect effects of Chinese and international social media use on conspiracy theory endorsement (CTE) regarding COVID-19. Findings showed that Chinese social media use was not associated with CTE, while international social media use was negatively associated with CTE. Moreover, the significant association was mediated by media skepticism. Further, individuals' level of need for cognition (NFC) was found to moderate the indirect effect. That is, among people with higher levels of NFC, the negative indirect effect of international social media use on CTE became stronger. Theoretical and practical implications were discussed.

Immunizing with information - Inoculation messages against conversational agents' response failures

Conversational agents (CAs) are often unable to provide meaningful responses to user requests, thereby triggering user resistance and impairing the successful diffusion of CAs. Literature mostly focuses on improving CA responses but fails to address user resistance in the event of further response failures. Drawing on inoculation theory and the elaboration likelihood model, we examine how inoculation messages, as communication that seeks to prepare users for a possible response failure, can be used as an alleviation mechanism. We conducted a randomized experiment with 558 users, investigating how the performance level (high or low) and the linguistic form of the performance information (qualitative or quantitative) affected users' decision to discontinue CA usage after a response failure. We found that inoculation messages indicating a low performance level alleviate the negative effects of CA response failures on discontinuance. However, quantitative performance level information exhibits this moderating effect on users' central processing, while qualitative performance level information affected users' peripheral processing. Extending studies that primarily discuss ex-post strategies, our results provide meaningful insights for practitioners.

Educational chatbots for project-based learning: investigating learning outcomes for a team-based design course

Educational chatbots (ECs) are chatbots designed for pedagogical purposes and are viewed as an Internet of Things (IoT) interface that could revolutionize teaching and learning. These chatbots are strategized to provide personalized learning through the concept of a virtual assistant that replicates humanized conversation. Nevertheless, in the education paradigm, ECs are still novel with challenges in facilitating, deploying, designing, and integrating it as an effective pedagogical tool across multiple fields, and one such area is project-based learning. Therefore, the present study investigates how integrating ECs to facilitate team-based projects for a design course could influence learning outcomes. Based on a mixed-method quasi-experimental approach, ECs were found to improve learning performance and teamwork with a practical impact. Moreover, it was found that ECs facilitated collaboration among team members that indirectly influenced their ability to perform as a team. Nevertheless, affective-motivational learning outcomes such as perception of learning, need for cognition, motivation, and creative self-efficacy were not influenced by ECs. Henceforth, this study aims to add to the current body of knowledge on the design and development of EC by introducing a new collective design strategy and its pedagogical and practical implications.

"I enjoy thinking critically, and I'm in control": Examining the influences of media literacy factors on misperceptions amidst the COVID-19 infodemic

Misinformation circulation has arguably reached a peak during the COVID-19 pandemic, creating an “infodemic” that severely endangers public health and well-being. Using a moderated mediation model, a survey of 712 respondents from China reveals that social media information seeking is positively associated with COVID-19 misperceptions, while need for cognition (NFC) is negatively associated with it. Both relationships became more significant while mediating through individuals' general misperceptions. Moreover, it is found that among those with greater locus of control over media, the association between social media information seeking and COVID-19 misperceptions became more positive, while the association between NFC and COVID-19 misperceptions became more negative among those with greater media locus of control. Findings provide insights into the misperception research and have practical implications regarding infodemic management.

The Positive and Negative Affect Schedule - Food Allergy (PANAS-FA): Adaptation and psychometric properties

BACKGROUND

Food allergy (FA) is a worldwide concern, increasing up to 50% in the past decade, with a 700% rise in hospitalizations because of anaphylaxis. Individuals diagnosed with FA must have the emotional resources to cope with the many challenges that arise from self-management tasks and the social limitations that FA presents. Therefore, it is clear that close consideration of heightened emotions due to FA is needed.

METHOD

The present research aimed to adapt the Positive and Negative Affect Schedule (PANAS), one of the most used questionnaires available to measure mood or emotion worldwide, for a population of individuals with FA. We performed one study (N = 205; M age = 37.37; Age range = 18-72). To adapt the measure, we asked participants to what extent they "generally" felt about having a FA, through 20 items (eg, strong, alert - positive affect; upset, scared - negative affect). We used Item Response Theory, Confirmatory Factor Analysis (CFA), and reliability estimates to assess the data. We also propose a shorter version of the PANAS-FA, using its "best items". Finally, we also used the General Anxiety Disorder-7 measure and Need for Affect Questionnaire to assess convergent validity.

RESULTS

The PANAS-FA presented a good model fit and strong item parameters. We removed 4 items from each factor for the shorter version, which presented difficulty levels slightly higher than recommended. The short PANAS-FA presented comparable results to the longer version. The measure also showed significant associations with general anxiety and need for affect, which assesses to what extent an individual likes to engage in emotion-inducing situations. Through a mediational model, negative affect significantly influenced general anxiety, partially influenced by the extent individuals avoid emotional situations.

CONCLUSION

We are confident that the adaptation of the Positive and Negative Affect Schedule focused on food allergy (PANAS-FA) provides a novel opportunity to understand the intrinsic associations between emotions and living with FA. Identifying which FA emotions are related to these factors may be vital for future interventions, providing an environment that focuses or promotes these emotions to enhance individual well-being.