Judgment Process Research Articles

"It was not mentioned": Improving responses to unanswerable questions using retrieval instructions.

Previous research shows that posing many questions about an event may lead to asking questions about unwitnessed details and that people sometimes provide substantive and erroneous answers to them. Therefore, two experiments investigated the role of the problem-solving and judgment processes, which are unrelated to memory access, in improving responding to unanswerable questions. Experiment 1 compared the effects of a brief retrieval training with the effects of an instruction to increase the criterion of reporting. As expected, the two manipulations had different effects on participants' answers, which demonstrates that training can do more than just instigate more cautious responding. However, we found evidence against our prediction that an enhancement in metacognitive ability underlies improved responding after training. Experiment 2 investigated, for the first time, the role of constant awareness that questions can be unanswerable and that such questions should be rejected. We compared the effects of training with the effects of a small change in response format that ensured such awareness. The effects of the two manipulations were similar, which supports our prediction that the constant awareness of unanswerable questions is a key factor behind improved responding. Practical implications for the eyewitness memory domain are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Parametric Optimizing Green Sand-Casting Process Parameters using hybrid Taguchi Grey Relational Analyses and Principal Component Analyses

The Green Sand-casting technique is a very ancient method of casting that has many different uses. The increased rate of errors and rejection in this process is a key drawback that reduces output and profits. It’s challenging to develop a good link between the many different parameters and defects since the process is so complicated. This article describes a hybrid approach to find the co-relation for sand casting process’s variables. This approach mixes the Taguchi method (TM) with Grey Relational Analysis (GRA) paired with Principal Component Analysis (PCA). Moisture content, Permeability, Loss of Ignition, Pouring Time & Pouring Temperature selected as input parameters while types of defects (Shrinkage, Blow holes, Cracks, Porosity) as responses for proposed study. The L27 OA from Taguchi is used to plan the tests. TM implemented to analyse individual responses. GRA is applied to find optimal solutions for a set of replies, whereas PCA is used to determine how much weight each response should be given. Using proposed methodology, 4% moisture content, 160% permeability, 5% loss of ignition, 60 seconds of pouring time, and 1400°C found as optimum set of parameters. The findings demonstrate that the hybrid approach, which makes use of both a cost-effective and efficient experimental design strategy, was successful in resolving the complexity trade-off experienced throughout the judgment process of multi-response optimization.

Top 10 academic progress on traditional Chinese medicine in 2022

Background To implement the spirit of the 20th National Congress of the Communist Party of China and the Opinions on Promoting the Inheritance, Innovation, and Development of Traditional Chinese Medicine (TCM), regularly summarize the research results of TCM, present the academic progress on TCM dynamically, and fully leverage the academic leadership of academic groups, the China Association of Chinese Medicine organized the selection of the top 10 academic progress on TCM in 2022. The selection process adhered to 4 orientations, eliminated any biases, highlighted the solutions to clinical problems, answered scientific questions, and led the industry’s development. It reflected an exploratory and forward-looking approach, emphasizing innovation and breakthroughs. The selection focused on new laws, new discoveries, new methods, new products, and new theories in the field of basic research and applied basic research in TCM. Through a process of dynamic collection, preliminary examination, review, and final judgment, the top 10 academic progress of TCM in 2022 were determined.

Engajamento no trabalho: uma pesquisa com servidores públicos estaduais

Engajamento no trabalho é um tema emergente na psicologia organizacional e exprime um comportamento fisicamente envolvido, cognitivamente vigilante e emocionalmente conectado com a atividade laboral. Este construto é formado por três dimensões: vigor, dedicação e absorção. Profissionais engajados mostram maior iniciativa e entusiasmo para superar os desafios que as tarefas exigem. Diante deste contexto, o objetivo desta pesquisa foi analisar as características e a intensidade do engajamento no trabalho entre servidores públicos em um instituto no estado do Pará. A metodologia foi exploratória e descritiva, feita na forma de survey, com a utilização do Utrecht Work Engagement Scale (UWES-17). A amostra foi formada por 100 servidores, selecionados em amostragem não probabilística por julgamento e o tratamento dos dados utilizou estatística descritiva, correlacional e multivariada. Os resultados mostraram engajamento com intensidade intermediária em todas as dimensões do construto. A análise de agrupamentos revelou três grupos denominados, conforme a intensidade no engajamento, em baixo (25%), médio (61%) e alto engajamento (14%). As conclusões recomendam investimentos em estratégias de gestão de pessoas, especialmente para equilibrar as demandas do trabalho aos recursos pessoais e organizacionais, que é uma forma de aumentar o engajamento e evitar o adoecimento laboral.

Societal Acceptability of Insect-Based Livestock Feed: A Qualitative Study from Europe

Against the background of high demand for protein-rich feed in the EU and the environmental degradation associated with intensive livestock farming, insect-based feed is discussed as a potential sustainable alternative to conventional feed. However, the establishment of such an innovation depends not only upon technical and economic feasibility, but also on social factors impacting acceptability. The aim of this paper was to determine the acceptability of different social actor groups towards the use of insects as livestock feed, and to gain insights into value-based arguments leading to positive or negative attitudes and perceived benefits and risks. By means of qualitative content analysis, we analysed responses of an EU public consultation process linked to the authorization of insect protein in pig and poultry feed. We found a broad range of value-based arguments that influence the complex judgement process of acceptability that have been neglected in prior quantitative surveys. In particular, our results bring forward more critical voices, such as animal welfare concerns and scepticism that insect-based feed can contribute to a more sustainable livestock system. Based on these findings, we discuss whether insects as feed are a viable contribution to a sustainability-oriented transformation of the agri-food system. We conclude that under certain conditions (when raised on low-value organic side streams such as manure) insect-based livestock feed may contribute to incremental sustainability improvements. Overall, however, the innovation has limitations, not only in terms of regulatory conditions but especially with regard to ethical concerns.

Minimizing the misinformation concern over social networks

People’s opinions are often affected by their social network, and the associated misinformation on the online social networks can easily mislead people’s judgment and decision-making process, leading people to take unconventional or even radical behaviors. People’s decision-making behavior is influenced by their concern to the misinformation they receive. Building on this, we explore the competitive concern minimization problem of leveraging agents who post correct information to minimize users’ concern to misinformation. First, considering users’ concern to misinformation, this paper constructs a concern-critical competitive model and introduces the Coulomb’s law to quantify the dynamic evolution of users’ concern in information diffusion. Second, we prove hardness results for the competitive concern minimization problem and discuss the modularity of the objective function. Then, to optimize the non-submodular objective function, a two-stage approximate projected subgradient algorithm with data-dependent approximation ratio is developed using Lovász extension and convex envelope. Finally, the experimental simulations on three real networks highlight the efficiency of the approaches proposed in this paper, which is at least 9.71% better than other baselines in reducing misinformation concern.

Association between the risk perception of contracting COVID-19 and sociodemographic characteristics in a Peruvian population.

Background: The perception of risk regarding coronavirus disease 2019 (COVID-19) has been widely researched due to its association with the adoption of preventive measures. In addition, since the onset of vaccination, it has been reported that the population perceives a lower risk of getting infected. However, few studies have analyzed the factors associated with risk perception in low- and middle-income countries. The aim of this study was to determine the association between the risk perception of contracting COVID-19 and sociodemographic characteristics in Peruvian population. Methods: An analytical and cross-sectional study was conducted in four cities in Peru from October to December, 2021. The sample consisted of 821 individuals aged 18 years and older. A virtual questionnaire was used to collect sociodemographic data and assess the risk perception of contracting coronavirus based on the Health Belief Model. The process of back-translation, expert judgment, and reliability analysis using split-half correlation was conducted. Student's t-tests, analysis of variance with post hoc Tukey's test, and Spearman's correlation were employed. Results: Of the participants, 53.71% were women and 73.3% had a higher education level, 45.55% are self-employed, and 40.44% did not have a family member infected with COVID-19. The risk perception of COVID-19 infection was associated with participants' family antecedent of COVID-19 (p < 0.05). Regarding the factors analyzed, perceived susceptibility to COVID-19 was associated with age (p=0.002), occupation (p<0.05), and a history of COVID-19 (p<0.05), while the perceived benefits of adopting preventive measures against this disease were associated with educational level (p < 0.001). Conclusions: The risk perception of contracting COVID-19 was higher among whose had multiple infected relatives.. Furthermore, the perception of susceptibility and the perceived benefits of using preventive measures were associated with sociodemographic characteristics.

Expert Judgment in the 2022 Aotearoa New Zealand National Seismic Hazard Model

AbstractThe 2022 revision of the New Zealand National Seismic Hazard Model—Te Tauira Matapae Pūmate Rū i Aotearoa (NZ NSHM 2022) is, like other regional and national seismic hazard models, a collection of many component models that are combined via logic trees to calculate various parameters of seismic hazard. Developing, selecting, and combining component models for the NZ NSHM 2022 requires expert judgment. Informal and unstructured use of expert judgment can lead to biases. Drawing on a broad body of literature on potential biases in expert judgment and how to mitigate them, we used three approaches to incorporate expert judgment with the aim to minimize biases and understand uncertainty in seismic hazard results. The first approach applied two closely aligned group structures—the Science Team Working Groups and the Technical Advisory Group (TAG). The groups between them defined the project and made the scientific decisions necessary to produce the final model. Second, the TAG provided the function of a participatory review panel, in which the reviewers of the NSHM were actively engaged throughout the project. The third approach was performance-based weighting of expert assessments, which was applied to the weighting of the logic trees. It involved asking experts so-called calibration questions with known answers, which were relevant to the questions of interest, that is, the logic-tree weights. Each expert provided their best estimates with uncertainty, from which calibration and information scores were calculated. The scores were used to weight the experts’ assessments. The combined approach to incorporating expert judgment was intended to provide a robust and well-reviewed application of seismic hazard analysis for Aotearoa, New Zealand. Robust expert judgment processes are critical to any large science project, and our approach may provide learnings and insights for others.

Deep learning-based identification of spine growth potential on EOS radiographs.

To develop an automatic computer-based method that can help clinicians in assessing spine growth potential based on EOS radiographs. We developed a deep learning-based (DL) algorithm that can mimic the human judgment process to automatically determine spine growth potential and the Risser sign based on full-length spine EOS radiographs. A total of 3383 EOS cases were collected and used for the training and test of the algorithm. Subsequently, the completed DL algorithm underwent clinical validation on an additional 440 cases and was compared to the evaluations of four clinicians. Regarding the Risser sign, the weighted kappa value of our DL algorithm was 0.933, while that of the four clinicians ranged from 0.909 to 0.930. In the assessment of spine growth potential, the kappa value of our DL algorithm was 0.944, while the kappa values of the four clinicians were 0.916, 0.934, 0.911, and 0.920, respectively. Furthermore, our DL algorithm obtained a slightly higher accuracy (0.973) and Youden index (0.952) compared to the best values achieved by the four clinicians. In addition, the speed of our DL algorithm was 15.2 ± 0.3 s/40 cases, much faster than the inference speeds of the clinicians, ranging from 177.2 ± 28.0 s/40 cases to 241.2 ± 64.1 s/40 cases. Our algorithm demonstrated comparable or even better performance compared to clinicians in assessing spine growth potential. This stable, efficient, and convenient algorithm seems to be a promising approach to assist doctors in clinical practice and deserves further study. This method has the ability to quickly ascertain the spine growth potential based on EOS radiographs, and it holds promise to provide assistance to busy doctors in certain clinical scenarios. • In the clinic, there is no available computer-based method that can automatically assess spine growth potential. • We developed a deep learning-based method that could automatically ascertain spine growth potential. • Compared with the results of the clinicians, our algorithm got comparable results.

The Indirect Effect of Biased Judgment Processing of Bodies on Eating Disorder Symptomatology Through Eating Disorder-Specific Reflection

BackgroundThe current study sought to empirically evaluate the relationships between biases involving judgment of bodies in terms of their shape and weight, ED-specific rumination subtypes (i.e., ED-specific reflection and ED-specific brooding) and eating disorder (ED) symptomatology.MethodsFemale undergraduates (n = 344) aged 17–24 years completed self-report measures of ED-specific rumination and ED symptomatology and a novel task designed to assess biased judgement processing of bodies.ResultsResults revealed that a bias in judging bodies in terms of their shape and weight was indirectly but not directly associated with ED symptomatology. Specifically, biased judgement processing was indirectly associated with ED symptomatology via ED-specific ruminative reflection but not via ED-specific ruminative brooding.ConclusionsThe current findings suggest biased judgement processing of bodies may contribute to ED symptomatology via ED-specific ruminative reflection. It is important to note that the indirect effect was small suggesting the involvement of other potential variables in this relationship. Thus, further exploration of the cognitive factors involved in the relationship between biased judgement processing and ED symptomatology is warranted.

Measuring the mixture of rule-based and exemplar-based processes in judgment: A hierarchical Bayesian approach.

Measuring the mixture of rule-based and exemplar-based processes in judgment: A hierarchical Bayesian approach.

일본의 행정계획법제

In broad terms, the issues and concerns surrounding administrative planning align between the Japanese and Korean administrative law systems. However, relevant discussions have diverged following the Japanese revision of the Administrative Case Litigation Act in 2004. A distinct feature of the legal discourse in Japan's administrative planning system is its focus on understanding administrative planning within the flow of various administrative activities or the administrative process itself. The Japanese discussions on controlling the widely acknowledged planning discretion, substantive or procedural, follow a pattern similar to those in Korea. However, they diverge slightly in the discussion about ‘judgment process review,’ which begins with confirming the stage at which discretion is exercised in the administrative planning process, and in the converged opinion on using ‘litigation to confirm illegality’ for party litigation. Although specific discussions took place on administrative planning proposed during the revision of the Administrative Case Litigation Act in 2004, it is unfortunate that such discussions have not been applied actively over the past 20 years. However, proposals have since been made for administrative hearings or new types of litigation formats suitable for disputes related to administrative planning, which offer significant insights for Korea.&#x0D; On the other hand, the ‘basic policy’ implemented under the name of ‘planning’ in administrative practice has drawn less attention because it is related to setting the definition and scope of administrative planning and does not directly impact citizens' rights and interests. In Japan, however, so-called induction-type and guideline-type plans are used in various administrative affairs and serve as a means for state control over local governments. This study aims to draw implications for the Korean legal system by examining recent challenges in Japan’s administrative planning and discussions aimed at solving them.

Examining the Relation Between First-year University Students’ Intention to Drop-out and Academic Engagement: The Role of Motivation, Subjective Well-being and Retrospective Judgements of School Experience

This study examined the relationships between first-year university students’ academic motivation, retrospective evaluation of school experiences, subjective well-being, engagement and intention to drop out. Self-determination theory, the SInAPSi model of academic engagement, the hedonic approach, and the retrospective judgment process were used to frame the study. A final sample of 565 first-year Italian students enrolled in Science-Technology-Engineering-Mathematics (STEM) courses (Biology, Biotechnologies, Chemistry, Computer Science, Physics, Mathematics) was included. Three mediation models based on structural equations were tested to analyse the relationships between the proposed variables: motivation as an antecedent of dropout intention with only commitment as a mediator (model 1); model 1 + subjective well-being as a second mediator (model 2); model 2 + retrospective judgement as an antecedent (model 3). The results showed that in all models the more autonomous motivational styles predicted students’ engagement, which in turn directly and indirectly influenced their intention to drop out. In model 2, subjective well-being acted as a mediator of the relationships between motivation, engagement and dropout intentions. In model 3, we found that subjective well-being also fully mediated the relationships between retrospective judgement and engagement. Overall, our findings provide new insights into the mechanisms underlying student engagement and dropout at university and may inform university policy.

Visual Impact Analysis Via SPSS Method On Café Facades

Facades interact with people and trigger the aesthetic judgment process. They are perceived as whole with their shape, colour, texture, and proportion features. The paper aims to determine the objective design criteria of pleasant places based on subjective aesthetic judgement. The quantitative research which is based on semantic differential method and a set of open-ended questions aim to determine preferred shape, colour, texture, and proportion features on cafe facades from the perspective of subjective visual perception. Statistical evaluation of the survey results was made with the SPSS program. The research universe consisted of senior undergraduate students who studied architecture and interior architecture, undergraduate, graduate and doctorate graduates in the field of architecture and designers. The cafes located in the coastal part of Kemankes Karamustafa Pasa Neighbourhood of Karakoy District in Istanbul, which has historical and touristic importance, were chosen for the fieldwork. According to the findings obtained through the survey, the participants prefer to sit in cafes on the streets, which are respectful to the historical texture, plain, light colors are used and enriched with plants. Participants agree that domestic and foreign tourists like streets with similar characteristics. It is preferred that the places where they are as tourists are lively and colorful. The outcomes of this paper will contribute for transforming streets into pleasant places in urban regeneration process.

A Multi-Stage Real-Time Fast Search Method for Closed-Loop Paths Based on Grid Hierarchical Partitioning Characteristics

Prior to switching operations, the dispatch automation system is required to be able to search for closed-loop paths quickly in real time. In order to improve the efficiency of closed-loop path search, this paper proposes a multi-stage real-time fast search method for closed-loop paths based on the characteristics of power grid hierarchical partitioning. First, we divide the closed-loop judgement process into three phases: initialization, acceptance of the closed-loop judgement command, and post-operation. Then, we define three types of nodes, including root nodes, same-layer contact nodes, and common nodes, and construct path data models for each type of node in accordance with the node liaison relationship in grid hierarchical zoning. In the initialization phase, we design a method for the automatic generation of real-time nodal path data models and study a hierarchical partitioned closed-loop path search method based on a nodal path data model for the phase of accepting closed-loop judgement commands. Next, we design a fast local correction method for nodal path models after the switch closure and disconnection operations in the post-operation idle phase are performed. Finally, a real power grid model is used as an example to test the above closed-loop path search method, which improves the search efficiency by eight times compared with the conventional breadth-first search method. The method is applicable to real large and complex power grids.

Maximin principle, emotional aversion, and integrative judgment in the NIMBY context, including social dilemma and moral dilemma: The roles of the amygdala, angular gyrus, and ventromedial prefrontal cortex

ABSTRACTPublic facilities that have NIMBY (not in my backyard) structure involve both a social dilemma, in which individuals’ decisions to prevent the worst outcomes for themselves undermine the public interest, and a moral dilemma focused on the majority versus the minority. This study examined the cognitive-neural processes in judging whether to prioritize the site residents or the citizenry as a whole within the context of NIMBY. Our ROIs were the right angular gyrus being related to concern about the worst possible outcomes for others and oneself, the amygdala associating with emotional aversion to prioritizing the majority, and the vmPFC, which integrates the aversion into “all things considered” judgments. As a result of comparing ingroup conditions for which a NIMBY facility may make participants worst-off position and outgroup conditions for which this possibility is denied, the right angular gyrus was activated in both conditions. The amygdala was activated only in the ingroup, and the vmPFC exhibited a stronger tendency in the ingroup. We concluded that the cognitive-neural processes in judgments on NIMBY facilities are common to both decision-making to avoid the worst-off position for others and for oneself and moral judgments between the majority and the minority.

Achievement goal perception: An interpersonal approach to achievement goals.

Research on achievement goals is voluminous but focused primarily on intrapersonal regulation. In the present article, we emphasize the integral role that achievement goals also play in the broader process of interpersonal judgment. We establish a new interpersonal approach to achievement goals that integrates the extensive achievement goal literature with the well-established social relations model (SRM). We introduce and formally define the interpersonal concept of achievement goal perception, present a formal methodological approach to studying this novel concept using a Bayesian implementation of the multivariate SRM (MSRM), and put the proposed integrative approach to the test with an in-depth empirical study that directly addresses fundamental questions of achievement goal perception. In this empirical study, we measured four types of achievement goal perceptions-mastery-approach (MAP), mastery-avoidance (MAV), performance-approach (PAP), performance-avoidance (PAV)-across 1,809 student-classmate dyads from 42 small discussion-based undergraduate classes. Results indicated a predominantly perceiver-driven process consisting of self-other agreement for MAP, MAV, and PAV goals but not PAP goals, assumed similarity for each achievement goal, and greater assumed similarity among closer classmates. Achievement goal perception provided incremental predictive utility for two gold-standard educational outcomes-academic performance and intrinsic motivation-among both perceivers and targets, and four additional educationally relevant constructs-perceived class value, perceived effort investment, perceived competence, and peer help-seeking-among perceivers. Having laid the theoretical, methodological, and empirical foundations, we discuss this new interpersonal approach to achievement goals alongside contemporary research on achievement motivation and interpersonal judgment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Revisiting the Psychology of Structured Analytical Techniques

Structured analytic techniques (SATs) are considered the gold standard for intelligence practitioners to mitigate judgmental biases. On the other hand, recent psychological research has challenged the effectiveness of SATs. Here, these seemingly irreconcilable standpoints will, to some extent, be reunited. To this end, the empirical evidence of three prominent SATs is reviewed: empirical research provides support for brainstorming and devil’s advocacy. The analysis of competing hypotheses, however, does not have empirical support. Based on the literature review and conceptual criticism of SATs, implications are discussed: the Intelligence Community (IC) must discard its antiempiricism. To this end, intelligence studies programs should regularly incorporate quantitative research methods courses in their curricula. The research community, on the other hand, should seek more frequent collaboration with the IC, to support the IC in improving the empirical foundations of their work. This could improve judgmental processes in intelligence analysis as well—possibly both within and beyond SATs. Moreover, other tasks in the IC (e.g., human intelligence) would benefit from a sound empirical approach as well.

Pre-assessment judgement framework for judging nursing students’ performance in clinical placements: A qualitative case study

AimThis study aims to better understand and articulate the pre-assessment judgement processes commonly used by experienced clinical facilitators when assessing nursing students undertaking clinical placement. BackgroundIn the Australian context, clinical facilitators are registered nurses who primarily educate, monitor, support and assess groups of nursing students on clinical placements without carrying a patient load.The duties and scope of clinical facilitators may differ across international and institutional contexts. However, the core concepts of this paper will be relevant despite these differences as the importance of facilitators’ confidence in making pre-assessment judgements of individual nursing student performance while on placement is universally acknowledged.Nursing students are often assessed on their provision of safe practice, patient task-orientated outcomes and professional behaviour. Clearly articulating performance judgements prior to formal assessment is vital to ensure progressive learning of students. Literature reports that many clinical facilitators lack confidence in the art of making performance judgements and call for targeted professional training and support in the clinical assessment of nursing students. To better understand and address this problem, clinical facilitators need a shared understanding of how individual nursing students’ pre-assessment performance judgements are reached during placement experiences. DesignA qualitative case study was used, with data collected via semi-structured interviews. Fifteen Australian clinical facilitators participated, each with over six months of experience. MethodsInterview transcripts were analysed through an interpretive-constructivist paradigm. Thematic analysis revealed themes that were then deductively described through the application of the Cognitive Continuum Theory. ResultsSix modes of pre-assessment judgement emerged from the data synthesis process: 1) Recognising patterns, 2) Acknowledging uncertainty, 3) Understanding key players, 4) Verifying or refuting the information, 5) Benchmarking performance and 6) Contextualising information. Each mode is validated through the deductive application of the Cognitive Continuum theory. ConclusionsUnderstanding how experienced clinical facilitators make pre-assessment performance judgements has the potential to increase confidence in performance judgement decisions. In turn, confidence in judgements will increase clinical facilitator’s capacity to give nursing students feedback that can be explained and justified. The pre-assessment judgement framework also provides a preliminary model for teaching the art of reaching accurate performance judgements to clinical educators in disciplines beyond nursing.

Association between the risk perception of contracting COVID-19 and sociodemographic characteristics in a Peruvian population

Background: The perception of risk regarding coronavirus disease 2019 (COVID-19) has been widely researched due to its association with the adoption of preventive measures. In addition, since the onset of vaccination, it has been reported that the population perceives a lower risk of getting infected. However, few studies have analyzed the factors associated with risk perception in low- and middle-income countries. The aim of this study was to determine the association between the risk perception of contracting COVID-19 and sociodemographic characteristics in Peruvian population. Methods: An analytical and cross-sectional study was conducted in four cities in Peru from October to December, 2021. The sample consisted of 821 individuals aged 18 years and older. A virtual questionnaire was used to collect sociodemographic data and assess the risk perception of contracting coronavirus based on the Health Belief Model. The process of back-translation, expert judgment, and reliability analysis using split-half correlation was conducted. Student's t-tests, analysis of variance with post hoc Tukey's test, and Spearman's correlation were employed. Results: Of the participants, 53.71% were women and 73.3% had a higher education level, 45.55% are self-employed, and 40.44% did not have a family member infected with COVID-19. The risk perception of COVID-19 infection was associated with participants' family antecedent of COVID-19 (p &lt; 0.05). Regarding the factors analyzed, perceived susceptibility to COVID-19 was associated with age (p=0.002), occupation (p&lt;0.05), and a history of COVID-19 (p&lt;0.05), while the perceived benefits of adopting preventive measures against this disease were associated with educational level (p &lt; 0.001). Conclusions: The risk perception of contracting COVID-19 was higher among those who had multiple infected relatives. Furthermore, the perception of susceptibility and the perceived benefits of using preventive measures were associated with sociodemographic characteristics.