Yoxas/statistical_literacy huggingface dataset:
When do we follow requests and recommendations and which ones do we choose not to comply with? This publication combines definitions of compliance and reactance as behaviours and as affective processes in one model for application to human-robot interaction. The framework comprises three steps: human perception, comprehension, and selection of an action following a cue given by a robot. The paper outlines the application of the model in different study settings such as controlled experiments that allow for the assessment of cognition as well as observational field studies that lack this possibility. Guidance for defining and measuring compliance and reactance is outlined and strategies for improving robot behaviour are derived for each step in the process model. Design recommendations for each step are condensed into three principles on information economy, adequacy, and transparency. In summary, we suggest that in order to maximise the probability of compliance with a cue and to avoid reactance, interaction designers should aim for a high probability of perception, a high probability of comprehension and prevent negative affect. Finally, an example application is presented that uses existing data from a laboratory experiment in combination with data collected in an online survey to outline how the model can be applied to evaluate a new technology or interaction strategy using the concepts of compliance and reactance as behaviours and affective constructs.
When examining health literacy and disease specific knowledge levels across ethnicities and communities, ethnic minority groups are known to be at a higher risk of being below the average health literacy threshold which is a factor linked to poor health status and higher mortality rates. This study examined disease specific knowledge levels, perceived severity, and perceived susceptibility surrounding anal cancer and HPV-related screening behaviors. The following research questions were explored: (1) "What are the common themes and/or beliefs when asked about anal cancer, HPV, and preventive screening?" and (2) "What are the common themes and beliefs surrounding the severity and susceptibility of contracting anal cancer?". This study utilized a cross-sectional design to survey 26 individuals regarding their knowledge level and perspectives regarding anal cancer and HPV. An 8-question survey was developed de novo based on an application of the Health Belief Model (HBM) elements. This study employed thematic analysis to explore critical themes to construct a model to understand knowledge levels, attitudes, and risk perceptions regarding anal cancer and intention to participate in preventive screenings. The fundamental attitudes and themes related to anal cancer risk and intention to participate in preventative screenings were elicited using a qualitative descriptive technique. Coded data was utilized to analyze themes based on (1) knowledge and (2) perceived risk, both severity and susceptibility. Overall, the findings indicate very low levels of knowledge regarding screening, anal cancer, and HPV across all genders. The low levels of anal cancer and HPV knowledge were seen in 13 coded segments (50% of surveys) which showed no familiarity with or comprehension of HPV, and 4 coded segments indicated no familiarity with anal cancer. In addition, 15 respondents (57%) had low or no preventive or screening-related knowledge. While some respondents (46%) illustrated high perceived severity for anal cancer, only 23% indicated high perceived susceptibility for anal cancer. The results from this study may be used to inform practitioners, providers, and policymakers in developing interventions addressing low levels of understanding and disease specific knowledge surrounding anal cancer in support of creating a standardized health screening procedure.
When forecasting events, multiple types of uncertainty are often inherently present in the modeling process. Various uncertainty typologies exist, and each type of uncertainty has different implications a scientist might want to convey. In this work, we focus on one type of distinction between direct quantitative uncertainty and indirect qualitative uncertainty. Direct quantitative uncertainty describes uncertainty about facts, numbers, and hypotheses that can be communicated in absolute quantitative forms such as probability distributions or confidence intervals. Indirect qualitative uncertainty describes the quality of knowledge concerning how effectively facts, numbers, or hypotheses represent reality, such as evidence confidence scales proposed by the Intergovernmental Panel on Climate Change. A large body of research demonstrates that both experts and novices have difficulty reasoning with quantitative uncertainty, and visualizations of uncertainty can help with such traditionally challenging concepts. However, the question of if, and how, people may reason with multiple types of uncertainty associated with a forecast remains largely unexplored. In this series of studies, we seek to understand if individuals can integrate indirect uncertainty about how "good" a model is (operationalized as a qualitative expression of forecaster confidence) with quantified uncertainty in a prediction (operationalized as a quantile dotplot visualization of a predicted distribution). Our first study results suggest that participants utilize both direct quantitative uncertainty and indirect qualitative uncertainty when conveyed as quantile dotplots and forecaster confidence. In manipulations where forecasters were less sure about their prediction, participants made more conservative judgments. In our second study, we varied the amount of quantified uncertainty (in the form of the SD of the visualized distributions) to examine how participants' decisions changed under different combinations of quantified uncertainty (variance) and qualitative uncertainty (low, medium, and high forecaster confidence). The second study results suggest that participants updated their judgments in the direction predicted by both qualitative confidence information (e.g., becoming more conservative when the forecaster confidence is low) and quantitative uncertainty (e.g., becoming more conservative when the variance is increased). Based on the findings from both experiments, we recommend that forecasters present qualitative expressions of model confidence whenever possible alongside quantified uncertainty.
When language is defined narrowly in mathematics classrooms, racially and linguistically minoritized students in classrooms could be systematically positioned as "learners of deficiency." Recent scholarship calls for expanding the notion of language to emphasize embodied expression of mathematical ideas. Taking a critical perspective to understand racialized experiences of using languages in disciplinary learning spaces, this article proposes the reconceptualization of embodiment as a language for racialized multilingual learners. This study was conducted in a Grade 1 classroom in a linguistically and racially diverse school in Canada. Through a series of professional development sessions, we worked with an experienced teacher to redesign the normalized and institutionalized pedagogy toward greater mobility of racialized multilingual learners' bodies, which was intertwined with their intellectual liberation. Focusing on the spatiality of pedagogy, the previously restrictive areas in the school were transformed into a place that augments embodied expression of mathematical ideas and agentive participation of minoritized learners. The analysis focused on the embodied discourse that participating racialized multilingual students used to actively engage in mathematical discussion. Our findings show that the designed pedagogy, characterized by the spatial and temporal expansion of the learning environment, offered more spaces for uncertainty and spontaneity with the decreased control of the teacher as an explicator. Our article furthers anti-colonial approaches to understand the intersection of racialized bodies and language in mathematics education.
When making anastomotic decisions in rectal cancer surgery, surgeons must consider the risk of anastomotic leakage, which bears implications for the patient's quality of life, cancer recurrence and, potentially, death. The aim of this study was to investigate the views of colorectal surgeons on how their individual attributes (e.g. experience, personality traits) may influence their decision-making and experience of complications. This qualitative study used individual interviews for data collection. Purposive sampling was used to invite certified UK-based colorectal surgeons to participate. Participants were recruited until ongoing data review indicated no new codes were generated, suggesting data sufficiency. Data were analysed thematically following Braun and Clarke's six-step framework. Seventeen colorectal surgeons (eight female, nine male) participated. Two key themes with relevant subthemes were identified: (1) personal attributes influencing variation in decision-making (e.g. demographics, personality) and (2) the influence of complications on decision-making. Surgeons described variation in the management of complications based upon their personal attributes, which included factors such as gender, experience and subspeciality interests. Surgeons described the detrimental impact of anastomotic leakage on their mental and physical health. Experience of anastomotic leakage influences future decision-making and is associated with changes in practice even when a technical error is not identified. Colorectal surgeons consider anastomotic leaks to be personal 'failures', which has a negative impact on surgeon welfare. Better understanding of how surgeons make difficult decisions, and how surgeons respond to and learn from complications, is necessary to identify 'personalized' methods of supporting surgeons at all career stages, which may improve patient outcomes.
When providing pharmaceutical care, the pharmacist relies upon a clinical decision-making process that involves information gathering, clinical reasoning, and clinical judgment. Typically, pharmacists have to identify, retain and recall numerous pieces of key information arranged spatially in medical records and prescriptions or verbally from colleagues when making decisions. Executive function, including spatial working memory and verbal reasoning, along with other cognitive domains, will likely contribute to the elements that comprise this process. To establish the predictive utility of markers of executive function and implicit memory on clinical decision-making and dispensing performance in pharmacy students. MPharm students from two sites completed a battery of cognitive tasks designed to measure elements of executive and other cognitive functions (e.g., verbal working memory (VWM), visuospatial working memory (VSWM), and implicit memory (IM)). Performance on 2 clinical case studies was used to assess clinical decision-making ability (n = 16), and a prescription screening and dispensing assessment was used to assess dispensing accuracy (n = 32). A statistical model was built to establish whether executive and other cognitive functions markers can predict clinical decision-making and dispensing performance. Performance in VSWM test and IM tests were found to explain approximately 63% of the deviance in clinical decision-making ability (null residual deviance = 49.4, deviance explained by variables = 31.0; Matrix Model p < 0.01, Dot-clearing test p < 0.01). Performance is the VSWM, and VWM tests explained approximately 30% of the deviance in the dispensing task (null residual deviance = 7596.7, deviance explained by variables = 2099.3; Matrix Model*Baddeley Reasoning Model, p < 0.05). The results suggest that specific cognitive domains contribute to the clinical decision-making process. This adds to a growing body of literature that highlights the importance of person-specific factors in predicting clinical competence.
When reading a text in school, the goal is both text comprehension and text retention. We examined the effects of the learning strategies summarization and factual retrieval practice on third- and fourth-grade pupils' text comprehension and retention of factual knowledge from a text, using restudy as a control condition. The experiment was conducted in an authentic classroom setting, with teachers executing the experiment using original course materials. In 2016, 57 regular third- and fourth-grade pupils (M = 9.04 years old) read three different texts, and each applied three different learning strategies (summarization, retrieval practice and restudy, which were counterbalanced across texts) in subsequent practice sessions. After a 2-week delay, a final test was administered. The learning strategy summarization had a larger positive effect on text comprehension than factual retrieval practice, but had a similar effect compared to restudy. The learning strategy factual retrieval practice had a larger positive effect on text retention than both summarization and restudy. Implications for educational practice are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
When school buildings closed suddenly due to the COVID-19 pandemic, educators relied on families more than ever to mediate their children's learning. This yearlong case study details the narratives of 14 Black and Latinx families as they negotiated literacy practices with their teenage sons during remote schooling. This study finds that families bolstered their sons' literacies through dimensions of family literacy care, a notion developed by the author to describe the material, emotional, embodied, and digital mentoring exchanged between caregivers and boys around literacy practices at home. Entangled in these narratives are the complex ways that families enacted their roles as caregivers and teachers during the pandemic, and in turn, how boys acquiesced to and resisted their parents' attempts at family literacy care. These findings texture and advance the field of family literacy scholarship to understand better the varied ways boys orient toward (and away from) texts in their family context.
When seeking to explain the eventual outcomes of a higher education experience, do the personal attributes and background factors students bring to college matter more than what the college is able to contribute to the development of the student through education or other institutional factors? Most education studies tend to simply ignore cognitive aptitudes and other student characteristics-in particular the long history of research on this topic-since the focus is on trying to assess the impact of education. Thus, the role of student characteristics has in many ways been underappreciated in even highly sophisticated quantitative education research. Conversely, educational and institutional factors are not as prominent in studies focused on cognitive aptitudes, as these fields focus first on reasoning capacity, and secondarily on other factors. We examine the variance in student outcomes due to student (e.g., cognitive aptitudes) versus institutional characteristics (e.g., teachers, schools). At the level of universities, two contemporary U.S. datasets are used to examine the proportion of variance accounted for in various university rankings and long-run salary by student cognitive characteristics and institutional factors. We find that depending upon the ways the variables are entered into regression models, the findings are somewhat different. We suggest some fruitful paths forward which might integrate the methods and findings showing that teachers and schools matter, along with the broader developmental bounds within which these effects take place.
When submitted to mutilating surgery, patients with head and neck cancer may present profound physical and psychosocial changes, temporary or definitive, with an individual impact and family. The most frequent human responses to this health condition are subjective, particularly concerning body image and self-esteem. Differential validation emerges to provide nurses with clinical indicators for clinical reasoning and planning of effective interventions, considering the specific defining characteristics of each diagnosis. This study aimed at conducting a differential clinical validation of the nursing diagnoses of disturbed body image and low situational self-esteem in patients with head and neck cancer using Q methodology. We performed an observational cross-sectional study using Q methodology. Thirty-eight participants were included. Data were analyzed using Q methodology procedures. The research and ethics committee approved the study. Factor analysis was performed, and eight defining characteristics were identified for the diagnosis of disturbed body image and one for situational low self-esteem: avoiding looking at one's body, avoiding touching one's body, the behavior of monitoring one's body, depersonalization of body part by use of impersonal pronouns, focus on past appearance, focus on past function, negative feeling about body, and refusal at acknowledging change and helplessness. The use of the Q methodology in this process of differential validation allowed the study of two diagnoses of a subjective nature, disclosing the most specific defining characteristics of each and contributing to increasing the knowledge of these human responses. This study contributes to a better understanding of the predominant defining characteristics of the diagnoses under study. In terms of the NANDA-I taxonomy, it helps to raise the levels of evidence for diagnoses. Using a qualitative and quantitative methodology allows for maintaining a more holistic research approach and greater rigor and acceptance of the results.
When surveys contain direct questions about sensitive topics, participants may not provide their true answers. Indirect question techniques incentivize truthful answers by concealing participants' responses in various ways. The Crosswise Model aims to do this by pairing a sensitive target item with a non-sensitive baseline item, and only asking participants to indicate whether their responses to the two items are the same or different. Selection of the baseline item is crucial to guarantee participants' perceived and actual privacy and to enable reliable estimates of the sensitive trait. This research makes the following contributions. First, it describes an integrated methodology to select the baseline item, based on conceptual and statistical considerations. The resulting methodology distinguishes four statistical models. Second, it proposes novel Bayesian estimation methods to implement these models. Third, it shows that the new models introduced here improve efficiency over common applications of the Crosswise Model and may relax the required statistical assumptions. These three contributions facilitate applying the methodology in a variety of settings. An empirical application on attitudes toward LGBT issues shows the potential of the Crosswise Model. An interactive app, Python and MATLAB codes support broader adoption of the model.
When they do not use formal quantitative risk assessment methods, many scientists (like other people) make mistakes and exhibit biases in reasoning about causation, if-then relations, and evidence. Decision-related conclusions or causal explanations are reached prematurely based on narrative plausibility rather than adequate factual evidence. Then, confirming evidence is sought and emphasized, but disconfirming evidence is ignored or discounted. This tendency has serious implications for health-related public policy discussions and decisions. We provide examples occurring in antimicrobial health risk assessments, including a case study of a recently reported positive relation between virginiamycin (VM) use in poultry and risk of resistance to VM-like (streptogramin) antibiotics in humans. This finding has been used to argue that poultry consumption causes increased resistance risks, that serious health impacts may result, and therefore use of VM in poultry should be restricted. However, the original study compared healthy vegetarians to hospitalized poultry consumers. Our examination of the same data using conditional independence tests for potential causality reveals that poultry consumption acted as a surrogate for hospitalization in this study. After accounting for current hospitalization status, no evidence remains supporting a causal relationship between poultry consumption and increased streptogramin resistance. This example emphasizes both the importance and the practical possibility of analyzing and presenting quantitative risk information using data analysis techniques (such as Bayesian model averaging (BMA) and conditional independence tests) that are as free as possible from potential selection, confirmation, and modeling biases.
Whenever relationships among variables are complex, or time processes play an essential part, or random components mask the process under study, graphical display becomes an indispensable tool. Biomedicine, in a broad sense, from research to medical care or management activities, is a field with these features, and good use of graphics can facilitate a new and valuable approximation to the available information. The aim of the paper is twofold: to explain to the reader that graphical display is not limited to be some way to attract information quickly, but means and instrument in the process of knowledge acquisition, and to stress that graphical language needs some maturity, and perhaps some guidelines, so that quantitative information will be revealed through high-quality graphics, avoiding worthless and mechanical displays.
Whether sex is an independent prognostic factor in lung cancer survival is the subject of ongoing debate. Both large national registries and single hospital studies have shown conflicting findings. In this study, we explore the impact of sex on lung-cancer-specific survival in an unselected population that is well-characterized with respect to stage and other covariates. All patients diagnosed with lung cancer at a single hospital serving a whole and defined region in Southern Norway during the 10 years 2007-2016 were included. Follow-up data were available for at least 56 months for all patients. Analyses were adjusted for stage, treatment, performance status, smoking, age, histology, epidermal growth factor receptor/anaplastic lymphoma kinase/immunotherapy treatment and period. Differences in lung-cancer-specific survival by sex were explored using restricted mean survival times (RMST). Of the 1,261 patients diagnosed with lung cancer, 596 (47%) were females and 665 (53%) males, with mean ages of 68.5 and 69.5 years, respectively. The observed 5-year lung-cancer-specific survival rate was 27.4% (95% CI 23.7, 31.2) in females and 21.4% (95% CI 18.2, 24.8) in males. However, after adjustment for covariates, no significant differences by sex were observed. The 5-year RMST was 0.9 months shorter (95% CI -2.1, 0.31, p = 0.26) in males compared to females. In this cohort, sex was not associated with a difference in lung-cancer-specific survival after adjusting for clinical and biological factors. Imbalance in stage at diagnosis was the main contributor to the observed difference in lung-cancer-specific survival by sex.