Yoxas/statistical_literacy huggingface dataset:
Statistical literacy can be defined as understanding the statistical tests and terminology needed for the design, analysis, and conclusions of original research or laboratory testing. Little is known about the statistical literacy of clinical or anatomic pathologists. -To determine the statistical methods most commonly used in pathology studies from the literature and to assess familiarity and knowledge level of these statistical tests by pathology residents and practicing pathologists. -The most frequently used statistical methods were determined by a review of 1100 research articles published in 11 pathology journals during 2015. Familiarity with statistical methods was determined by a survey of pathology trainees and practicing pathologists at 9 academic institutions in which pathologists were asked to rate their knowledge of the methods identified by the focused review of the literature. -We identified 18 statistical tests that appear frequently in published pathology studies. On average, pathologists reported a knowledge level between "no knowledge" and "basic knowledge" of most statistical tests. Knowledge of tests was higher for more frequently used tests. Greater statistical knowledge was associated with a focus on clinical pathology versus anatomic pathology, having had a statistics course, having an advanced degree other than an MD degree, and publishing research. Statistical knowledge was not associated with length of pathology practice. -An audit of pathology literature reveals that knowledge of about 12 statistical tests would be sufficient to provide statistical literacy for pathologists. On average, most pathologists report they can interpret commonly used tests but are unable to perform them. Most pathologists indicated that they would benefit from additional statistical training.
Statistical literacy is essential in clinical and translational science (CTS). Statistical competencies have been published to guide coursework design and selection for graduate students in CTS. Here, we describe common elements of graduate curricula for CTS and identify gaps in the statistical competencies. We surveyed statistics educators using e-mail solicitation sent through four professional organizations. Respondents rated the degree to which 24 educational statistical competencies were included in required and elective coursework in doctoral-level and master's-level programs for CTS learners. We report competency results from institutions with Clinical and Translational Science Awards (CTSAs), reflecting institutions that have invested in CTS training. There were 24 CTSA-funded respondents representing 13 doctoral-level programs and 23 master's-level programs. For doctoral-level programs, competencies covered extensively in required coursework for all doctoral-level programs were basic principles of probability and hypothesis testing, understanding the implications of selecting appropriate statistical methods, and computing appropriate descriptive statistics. The only competency extensively covered in required coursework for all master's-level programs was understanding the implications of selecting appropriate statistical methods. The least covered competencies included understanding the purpose of meta-analysis and the uses of early stopping rules in clinical trials. Competencies considered to be less fundamental and more specialized tended to be covered less frequently in graduate courses. While graduate courses in CTS tend to cover many statistical fundamentals, learning gaps exist, particularly for more specialized competencies. Educational material to fill these gaps is necessary for learners pursuing these activities.
Statistical literacy is the ability of a patient to apply basic statistical concepts to their health care. Understanding statistics is a critical component of shared decision making. The purpose of this investigation was to define levels of statistical literacy in an upper-extremity (UE) patient population. We aimed to determine if patient demographics would be associated with statistical literacy. An electronic survey was administered to a consecutive series of UE patients at a single institution. We recorded baseline demographics, Single Assessment Numeric Evaluation scores, the Berlin Numeracy Test (BNT), and General Health Numeracy Test. We also included a surgical risk question, which asked: "Approximately 3% of patients who get carpal tunnel surgery develop an infection. If 100 patients get this surgery, how many would you expect to develop an infection?" A covariate-controlled adjusted odds ratio reflecting the association between each statistical literacy outcome measure and patient characteristics was reported. A total 254 surveys were administered, 148 of which were completed and included. Fifty percent of respondents had a high-school education or less. For the BNT, 78% scored in the bottom quartile, and 52% incorrectly answered all questions. For the General Health Numeracy Test, 34% answered 0 or 1/6 questions correctly. For the surgical risk question, 24% of respondents answered incorrectly. Respondents who had a college or graduate degree had 2.62 times greater odds (95% confidence interval, 1.09-6.32) of achieving a BNT score in a higher quartile than patients who did not have a college or graduate degree. Overall levels of statistical literacy are low for UE patients. When engaging in management discussions and shared decision making, UE surgeons should assume low levels of statistical literacy. Consideration of alternative formats, such as frequencies, video-based materials, and pictographs, may be warranted when discussing outcomes and risks of surgical procedures.
Statistical significance has long relied on the criterion of p < 0.05. While it has generally functioned well, it has engendered some negative practices to circumvent this threshold and been criticized as too inflexible. We concur with the statisticians and methodologists who are currently arguing for more flexibility to the p-value and more reliance on the 95% confidence interval; this is likely to change future practice in data analysis and interpretation in oncology.
Statistical views of literacy development maintain that proficient reading requires the assimilation of myriad statistical regularities present in the writing system. Indeed, previous studies have tied statistical learning (SL) abilities to reading skills, establishing the existence of a link between the two. However, some issues are currently left unanswered, including questions regarding the underlying bases for these associations as well as the types of statistical regularities actually assimilated by developing readers. Here we present an alternative approach to study the role of SL in literacy development, focusing on individual differences among beginning readers. Instead of using an artificial task to estimate SL abilities, our approach identifies individual differences in children's reliance on statistical regularities as reflected by actual reading behavior. We specifically focus on individuals' reliance on regularities in the mapping between print and speech versus associations between print and meaning in a word naming task. We present data from 399 children, showing that those whose oral naming performance is impacted more by print-speech regularities and less by associations between print and meaning have better reading skills. These findings suggest that a key route by which SL mechanisms impact developing reading abilities is via their role in the assimilation of sub-lexical regularities between printed and spoken language -and more generally, in detecting regularities that are more reliable than others. We discuss the implications of our findings to both SL and reading theories.
Statistical views of reading highlight the link between proficient literacy and the assimilation of various regularities embedded in writing systems, including those in the mapping between print and meaning. Still, orthographic-semantic (O-S) regularities remain relatively understudied, with open questions regarding 3 issues: (a) how O-S regularities should be quantified, (b) how they impact the behavior of proficient readers, and (c) whether individual differences in sensitivity to these regularities predict reading skills. The goal of the current article is to address these questions. We start by reviewing previous studies estimating print-meaning regularities, where orthography-to-semantics consistency (OSC) is defined as the mean semantic similarity between a word and its orthographic neighbors. While we adopt this general strategy, we identify a potential confound in previous operational definitions. We therefore offer a modified measure, which we use to examine group-level OSC effects in available data sets of single word recognition and reading for comprehension. Our findings validate the existence of OSC effects but reveal variation across tasks, with OSC effects emerging more strongly in tasks involving a direct mapping of print to meaning. Next, we present a reanalysis of word naming data from 399 second through fifth graders, where we examine individual differences in reliance on O-S regularities and their relation to participants' reading skills. We show that early readers whose naming accuracy is more influenced by OSC (i.e., those who rely more on O-S) have better passage comprehension abilities. We conclude by discussing the role of O-S regularities in proficient reading and literacy acquisition. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Statistical-learning (SL) theory offers an experience-based account of typical and atypical spoken and written language acquisition. Recent work has provided initial support for this view, tying individual differences in SL abilities to linguistic skills, including language impairments. In the current article, we provide a critical review of studies testing SL abilities in participants with and without developmental dyslexia and specific language impairment and discuss the directions that this field of research has taken so far. We identify substantial vagueness in the demarcation lines between different theoretical constructs (e.g., "statistical learning," "implicit learning," and "procedural learning") as well as in the mappings between experimental tasks and these theoretical constructs. Moreover, we argue that current studies are not designed to contrast different theoretical approaches but rather test singular confirmatory predictions without including control tasks showing normal performance. We end by providing concrete suggestions for how to advance research on SL deficits in language impairments.
Statisticians are not only one of the earliest professional adopters of data visualization, but also some of its most prolific users. Understanding how these professionals utilize visual representations in their analytic process may shed light on best practices for visual sensemaking. We present results from an interview study involving 18 professional statisticians (19.7 years average in the profession) on three aspects: (1) their use of visualization in their daily analytic work; (2) their mental models of inferential statistical processes; and (3) their design recommendations for how to best represent statistical inferences. Interview sessions consisted of discussing inferential statistics, eliciting participant sketches of suitable visual designs, and finally, a design intervention with our proposed visual designs. We analyzed interview transcripts using thematic analysis and open coding, deriving thematic codes on statistical mindset, analytic process, and analytic toolkit. The key findings for each aspect are as follows: (1) statisticians make extensive use of visualization during all phases of their work (and not just when reporting results); (2) their mental models of inferential methods tend to be mostly visually based; and (3) many statisticians abhor dichotomous thinking. The latter suggests that a multi-faceted visual display of inferential statistics that includes a visual indicator of analytically important effect sizes may help to balance the attributed epistemic power of traditional statistical testing with an awareness of the uncertainty of sensemaking.
Statistics education is a necessary element of nursing education, and its inclusion is recommended in the American Association of Colleges of Nursing guidelines for nurse training at all levels. This article presents a cohesive summary of an expert panel discussion, "Teaching Statistics to Nursing Students," held at the 2012 Joint Statistical Meetings. All panelists were statistics experts, had extensive teaching and consulting experience, and held faculty appointments in a U.S.-based nursing college or school. The panel discussed degree-specific curriculum requirements, course content, how to ensure nursing students understand the relevance of statistics, approaches to integrating statistics consulting knowledge, experience with classroom instruction, use of knowledge from the statistics education research field to make improvements in statistics education for nursing students, and classroom pedagogy and instruction on the use of statistical software. Panelists also discussed the need for evidence to make data-informed decisions about statistics education and training for nurses.
Statistics show that over the past 2 decades, even in high-income countries, fewer and fewer students have listed neurosurgery as their top career option. Literature on medical students' pursuit of neurosurgical careers in middle- and low-income countries are scarce. The aim of this research, conducted in Turkey with a middle-income economy, was to contribute insights relevant to medical education and neurosurgery across the world. A survey was conducted with a target sample of fourth-year (167 students), fifth-year (169 students), and sixth-year (140 students) medical students (476 in total) from the Medical School at Istanbul Medeniyet University in Turkey. The response rates of the fourth-, fifth-, and sixth-year students were 62% (104/167), 53% (90/169), and 50% (70/140), respectively (in total, 266, including 147 female and 119 male). In terms of the genuine intention, only 2.5% of men and 2.7% of women were committed to specializing in neurosurgery. This study further revealed that possible reasons for these students' low motivation to specialize in neurosurgery were their beliefs that in neurosurgery, the physical and psychological demands were high, and the night shifts were intense, meaning they would not have a social life or spare time for their hobbies; that morbidity/mortality were high; and that financial incentives were insufficient, especially in public institutions. Turkish medical students did not rank neurosurgery at the top of their career choices. Possible reasons for this are socioeconomic factors and the inadequate introduction of neurosurgery to medical students.
Statistics suggests that patients and officials are unaware of a large number of patient safety incidents in healthcare centres. This study aimed to explore the concept of disclosure of patient safety incidents from the perspectives of Iranian nurses. Qualitative content analysis. The study population was nurses working in hospitals affiliated with The Hormozgan University of Medical Sciences, military hospitals and private hospitals in Bandar Abbas, Iran. Sampling was done from January 2021 to September 2021. 11 female and 6 male nurses aged 27-59 years with a work experience of 3-34 years were included. This qualitative content analysis was to explore the experiences of Iranian nurses (n=17) using purposive sampling and semistructured, in-depth interviews. Maximum variation sampling (age, sex, work experience, education level, type of hospital and type of ward) was considered to obtain rich information. Guba and Lincoln criteria were used to increase the study's trustworthiness and rigour, and the Graneheim and Lundman method and MAXQDA 2020 were used to analyse data. We extracted one theme, four categories and nine subcategories. The main theme was the mental schemas of disclosure of patient safety incidents with four categories: (1) misconceptions of harm to the organisation or self, (2) attributes of the disclosure process and its outcomes, (3) reactions to the disclosing incidents and (4) interpersonal conflicts. Our study identified factors influencing the disclosure of patient safety incidents among nurses, including concerns about reputation, fear of consequences and perceptions of the disclosure process. Positive attitudes towards incident disclosure were associated with supportive organisational environments and transparent communication. Barriers to disclosure included patient and companion reactions, misinterpretation and anxiety. Healthcare organisations should foster a non-punitive reporting culture to enhance patient safety and accountability.
STEAM (Science, Technology, Engineering, Arts and Mathematics) professions play a crucial role in transforming 21st-century society, as they contribute to developing new technologies that support the achievement of the Sustainable Development Goals (SDGs). Aligning engineering education with sustainable development requires raising awareness among students, fostering commitment among future generations of engineers, and promoting technical vocations. In this paper, an educational experience designed with these objectives is presented, in which more than 130 students from five undergraduate degrees in engineering and architecture at the Higher Polytechnic School of Zamora (HPSZ) of the University of Salamanca actively participated. To carry out the project, an online course was designed to train all participating students on general aspects of the 2030 Agenda, and research works were proposed in the ten involved degree subjects. The assessment of students' prior knowledge and learning regarding the 2030 Agenda was conducted through an objective multiple-choice pre-test and post-test. Additionally, their satisfaction with this educational experience was assessed through a questionnaire. The results revealed a considerable improvement in the students' knowledge of the general contents of sustainable development, especially after participating in classroom debate sessions. The initial objective test showed a low average score, indicating the lack of knowledge about the 2030 Agenda and the SDGs among engineering students. However, the final objective test revealed a significant improvement of 3 points out of 10. Regarding the research works, out of a total of 91 students, 53 papers addressing complex issues related to sustainable development and current engineering solutions were presented. This approach facilitated collaborative learning and the celebration of World Engineering Day at the HPSZ. The results of the satisfaction survey demonstrated that the experience was positive for both students and faculty Furthermore, its media impact was essential for increasing engineering vocations' visibility and social recognition.
Stellenbosch University embarked on a renewal of its MBChB programme guided by an updated set of core values developed by the multidisciplinary curriculum task team. These values acknowledged the important role of (among others) context and generalism in the development of our graduates as doctors of the future for South Africa. This report describes the overall direction of the renewed curriculum focusing on two of the innovative educational methods for Family Medicine and Primary Health Care training that enabled us to respond to these considerations. These innovations provide students with both early longitudinal clinical experience (now approximately 72 h per year for each of the first 3 years) and a final longitudinal capstone experience (36 weeks) outside the central tertiary teaching hospital. While the final year experience will run for the first time in 2027 (the first year launched in 2022), the initial experience has got off to a good start with students expressing the value that it brings to their integrated, holistic learning and their identity formation aligned with the mission statement of this renewed curriculum. These two curricular innovations were designed on sound educational principles, utilising contextually appropriate research and by aligning with the goals of the healthcare system in which our students would be trained. The first has created opportunities for students to develop a professional identity that is informed by a substantial and longitudinal primary healthcare experience.Contribution: The intention is to consolidate this in their final district-based experience under the supervision of specialist family physicians and generalist doctors.
STEM (science, technology, engineering and mathematics) education benefits both individuals and society. It supports individuals by increasing their critical-thinking skills, encouraging creativity, as well as providing a basis for new inventions. The underrepresentation of women in STEM is a complex issue with various causes and different approaches of addressing it, where most likely gender differences are caused by desires and choice rather than abilities and performance. This paper explores differences in online and traditional STEM learning based on gender. It examines in detail recently identified patterns of women's success, their access to STEM online courses, and their overall course experience during such courses. We analyzed results from a case study in which students were enrolled for one semester in two STEM online courses and completed questionnaires about their character traits and learning styles and how they relate to academic performance. The objective of our research is to analyze academic success during traditional classes and online classes, with focus on gender and identify how character traits and learning styles correlate with gender in online classes. The main outcome of our research is that female students, which study in the field of STEM in particular computer science, are trustworthy and autonomous students who can outperform their male counterparts during traditional courses, where during online courses male students still exceed slightly female students. The trait of Consciousness is a success predictor regardless of gender and learning environment, while the trait of Neuroticism has negative impact the traditional learning environment, Extraversion shows negative impact in online learning. Learning styles show gender differences, where female students prefer the style of read/write while male students favor kinesthetic.
Stem cell-based therapy for bone regeneration has received attention in medical settings but has not yet been used in clinical practice for treating alveolar bone defects. The objectives of this study were to explore whether periodontists had heard about this approach, and if so how, how interested they were to learn about it, which attitudes and behavioral intentions they had related to using stem cell-based grafting, and what they would like to know before using this approach. Anonymous survey data were collected from 481 members of the American Academy of Periodontology (response rate: 19.41%). Responses showed 35.3% had heard about stem cell-based therapy, mostly from publications (9.6%) and meetings (8.3%); 76.1% wanted to learn about it through in-person continuing education (CE) courses, 68.6% in online CE courses, and 57.1% from manuals; 73% considered this approach promising; and 54.9% preferred it to traditional approaches. It was important to them that it would result in more bone volume (93%), better bone quality (90.4%), and accelerated healing (83.2%). Also, 60.1% considered it likely/very likely that they would adopt this approach, 54% that patients would prefer it, and 62.1% that it would benefit their practice. When asked what they would like to know about this approach, information about short- and long-term outcomes, cost, and logistical considerations were most frequently named. These findings provide the basis to develop educational interventions for periodontists about this novel approach and inform future research activities aimed to translate this approach to clinical practice.