Beliefs in Misinformation and Conspiracy Theories About COVID- 19: a Triangular Relationship Between Analytic Thinking, Depressive States, and Misperception

Beliefs about misinformation and conspiracy theories are often associated with a state of mind. With the spread of the pandemic there has been an outbreak of depression cases among the population. In this paper, we attempt to test the relationship between affective states and beliefs in misinformation about COVID-19 during the early phase of the pandemic. We do this through a survey carried out on a random and representative sample of the Italian population that allows us to go and verify the co-evolution of many factors: i.e., beliefs in misinformation, symptoms of depression, perceptions and misperceptions about COVID-19, ways in which citizens got informed about the pandemic, and sociodemographic characteristics (e.g., age, gender, education). The results show that the relationship between affective state and beliefs in misinformation exists but is more complex than hypothesized.

Conspiratorial Beliefs and Cognitive Styles: An Integrated Look on Analytic Thinking, Critical Thinking, and Scientific Reasoning in Relation to (Dis)trust in Conspiracy Theories

The tendency to believe in conspiracy theories (implying secret and malevolent plots by scheming groups or individuals), incites growing decennial interest among psychological researchers (exploring the associated personality traits, worldviews and cognitive styles of people). The link between the conspiratorial beliefs and the cognitive styles remains of particular interest to scholars, requiring integrated theoretical considerations. This perspective article will focus on the relationship between the propensity to (dis)trust conspiracy theories and three cognitive styles: analytic thinking, critical thinking, and scientific reasoning. Analytic thinking (inclination toward slow and deliberate processing of information in a conscious effort to mitigate biases and reach objective understanding of facts), is a well-studied concept in the context of conspiratorial beliefs, while the negative mutual relationship seems well-evidenced. On the other hand, the evidence on the link with the critical thinking (readiness to consider, reason, appraise, review, and interpret facts to update existing beliefs) has only started to emerge in the last years. Finally, scientific reasoning (ability to apply principles of scientific inquiry to formulate, test, revise and update knowledge in accordance with new evidence), is the least studied of the three cognitive styles in relation to conspiracy theories. The present article will: (a) revise the (lack of) scientific consensus on the definitional and conceptual aspects (by providing theoretical framework); (b) summarize the state of the art on the subject (by providing overview of empirical evidence); (c) discuss directions for future research (especially in relation to the COVID-19 pandemic). An integrated perspective on the relationship between conspiratorial beliefs and cognitive styles of people, may serve to inspire future behavioral interventions.

Individual differences in thinking style and dealing with contradiction: The mediating role of mixed emotions

The present research examined how individuals’ thinking style (holistic vs. analytic) is associated with the way they deal with contradictory information and whether experiencing mixed emotions can mediate this relationship. Participants first completed the thinking style measure and then were exposed to two contradictory pieces of information (Studies 1 and 2). In study 2, we also measured the experience of mixed emotions to test the mediating role of this variable. Across two studies, we found that individuals with a holistic thinking style were more able to reconcile contradictory information compared to individuals with an analytic thinking style. Study 2 showed that the relationship between thinking style and dealing with contradiction was mediated by the experience of mixed emotions. This research extends previous findings on confrontation of contradiction and mixed emotions by using an individual-differences rather than a cultural-differences approach, and establishes mixed emotions as a plausible mediating variable.

A COMPARATIVE ANALYSIS OF PROBLEM-BASED LEARNING APPLICATIONS İN ENGINEERING AND TEACHER EDUCATION: A BRIEF REVIEW

Problem-based learning (PBL) is an alternative instructional method used to help students acquire scientific and technical knowledge. It has various uses in different disciplines ranging from language learning to nursing. Considering the effectiveness and common usage of problem-based learning, this study is a brief literature review that focused on the use of PBL in two different disciplines, namely, in engineering and teacher training. To this end, the researcher chose 4 articles that are among the most cited studies on Google scholar's web page. The review was conducted to identify the research areas such as scope, research questions, methodologies, common emergent features and overall implications of those studies. As for analysis, coding and categorizing the themes were done in all studies to find common aspects. The emergent themes were discussed, and implications were examined successively. The results showed that applications and utilization of PBL in engineering and teacher training were proven to be beneficial both for the educators and the students of the target area. The study also demonstrated that while analytic thinking, quick decision making, and synthesizing were the primary targets of the use of PBL in engineering, collaboration and comprehension skills are targeted by the practice of PBL in teacher training.

Creativity in problem solving: integrating two different views of insight

Even after many decades of productive research, problem solving instruction is still considered ineffective. In this study we address some limitations of extant problem solving models related to the phenomenon of insight during problem solving. Currently, there are two main views on the source of insight during problem solving. Proponents of the first view argue that insight is the consequence of analytic thinking and a sequence of conscious and stepwise steps. The second view suggests that insight is the result of unconscious processes that come about only after an impasse has occurred. Extant models of problem solving within mathematics education tend to highlight the first view of insight, while Gestalt inspired creativity research tends to emphasize the second view of insight. In this study, we explore how the two views of insight—and the corresponding set of models—can describe and explain different aspects of the problem solving process. Our aim is to integrate the two different views on insight, and demonstrate how they complement each other, each highlighting different, but important, aspects of the problem solving process. We pursue this aim by studying how expert and novice mathematics students worked on two ill-defined mathematical problems. We apply both a problem solving model and a creativity model in analyzing students’ work on the two problems, in order to compare and contrast aspects of insight during the students’ work. The results of this study indicate that sudden and unconscious insight seems to be crucial to the problem solving process, and the occurrence of such insight cannot be fully explained by problem solving models and analytic views of insight. We therefore propose that extant problem solving models should adopt aspects of the Gestalt inspired views of insight.

Hickam’s dictum, Occam’s razor, and Crabtree’s bludgeon: a case of renal failure and a clavicular mass

Objectives Our discussant’s thoughtful consideration of the patient’s case allows for review of three maxims of medicine: Occam’s razor (the simplest diagnosis is the most likely to be correct), Hickam’s dictum (multiple disease entities are more likely than one), and Crabtree’s bludgeon (the tendency to make data fit to an explanation we hold dear). Case presentation A 66-year-old woman with a history of hypertension presented to our hospital one day after arrival to the United States from Guinea with chronic daily vomiting, unintentional weight loss and progressive shoulder pain. Her labs are notable for renal failure, nephrotic range proteinuria and normocytic anemia while her shoulder X-ray shows osseous resorption in the lateral right clavicle. Multiple myeloma became the team’s working diagnosis; however, a subsequent shoulder biopsy was consistent with follicular thyroid carcinoma. Imaging suggested the patient’s renal failure was more likely a result of a chronic, unrelated process. Conclusions It is tempting to bludgeon diagnostic possibilities into Occam’s razor. Presumption that a patient’s signs and symptoms are connected by one disease process often puts us at a cognitive advantage. However, atypical presentations, multiple disease processes, and unique populations often lend themselves more to Hickam’s dictum than to Occam’s razor. Diagnostic aids include performing a metacognitive checklist, engaging analytic thinking, and acknowledging the imperfections of these axioms.

Factors Influencing Business Analytics Solutions and Views on Business Problems

The main aim of this paper is to identify and specify factors that influence business analytics. A factor in this context refers to any significant characteristic that defines the environment in which business analytics and business in general are conducted. Factors and their understanding are essential for the quality of final business analytics solutions, given their complexity and interconnectedness. Factors play an extremely important role in analytic thinking and business analysts’ skills and knowledge. These factors determine effective approaches and procedures for business analytics, and, in some cases, they also aid in the decision to delay a business analytics solution given a situation. This paper has used the case study method, a qualitative research method, due to the need to carry out investigation within the actual business (company) environment, in order to be able to fully understand and verify factors affecting analytics from the viewpoint of all stakeholders. This study provides a set of 15 factors from business, company, and market environments, including their importance in business analytics.