Karin Binder

ORCID: 0000-0003-0416-3029
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About
Contact & Profiles
Research Areas
  • Statistics Education and Methodologies
  • Data Visualization and Analytics
  • Linguistic research and analysis
  • Advanced Text Analysis Techniques
  • Biomedical Text Mining and Ontologies
  • Probability and Statistical Research
  • Mathematics Education and Teaching Techniques
  • Clinical Reasoning and Diagnostic Skills
  • Decision-Making and Behavioral Economics
  • Education Methods and Technologies
  • Forecasting Techniques and Applications
  • Cognitive and developmental aspects of mathematical skills
  • Bayesian Modeling and Causal Inference
  • Linguistic Education and Pedagogy
  • Data Analysis with R
  • Educational Assessment and Pedagogy
  • Plant Toxicity and Pharmacological Properties
  • Statistical Methods in Clinical Trials
  • Meta-analysis and systematic reviews
  • Patient-Provider Communication in Healthcare
  • Sociology and Education Studies
  • Educational Assessment and Improvement
  • Enzyme-mediated dye degradation
  • Gender Studies in Language
  • Biochemical and biochemical processes

Austrian Centre of Industrial Biotechnology (Austria)
2021-2025

Ludwig-Maximilians-Universität München
2022-2024

LMU Klinikum
2023

Czech Academy of Sciences, Institute of Mathematics
2023

Universität Bayern
2022

University of Regensburg
2015-2021

Stuttgart Observatory
2013-2017

In their research articles, scholars often use 2 × tables or tree diagrams including natural frequencies in order to illustrate Bayesian reasoning situations peers. Interestingly, the effect of these visualizations on participants' performance has not been tested empirically so far (apart from explicit training studies). present article, we report an empirical study (3 design) which systematically vary visualization (no vs. table diagram) and information format (probabilities frequencies)...

10.3389/fpsyg.2015.01186 article EN cc-by Frontiers in Psychology 2015-08-26

Abstract Previous studies on Bayesian situations, in which probabilistic information is used to update the probability of a hypothesis, have often focused calculation posterior probability. We argue that for an in-depth understanding it (apart from mere calculation) also necessary be able evaluate effect changes parameters situation and consequences, e.g., Thus, by Bayes’ formula as function, concept covariation introduced extension conventional reasoning, covariational reasoning situations...

10.1007/s10649-023-10274-5 article EN cc-by Educational Studies in Mathematics 2024-01-27

Despite recent advances, there is still a demand for more efficient enzymes hydrolyzing synthetic polymers. Automated high throughput screening strategies of microorganisms from different environments could yield novel but require specific methods detection polymer hydrolysis in complex matrices. Here, 5-carboxy-fluorescein (5-FAM) was covalently coupled to poly(butylene adipate) (PBA) and blended at 1%, 5% 10% w/w concentrations with non-labelled PBA. Hydrolysis PBA by the Thc_Cut1 cutinase...

10.1016/j.nbt.2025.03.007 article EN cc-by-nc-nd New Biotechnology 2025-04-01

In medicine, diagnoses based on medical test results are probabilistic by nature. Unfortunately, cognitive illusions regarding the statistical meaning of well documented among patients, students, and even physicians. There two effective strategies that can foster insight into what is known as Bayesian reasoning situations: (1) translating information prevalence a disease sensitivity false-alarm rate specific for from probabilities natural frequencies, (2) illustrating with tree diagrams,...

10.1371/journal.pone.0195029 article EN cc-by PLoS ONE 2018-03-27

For more than 20 years, research has proven the beneficial effect of natural frequencies when it comes to solving Bayesian reasoning tasks (Gigerenzer & Hoffrage, 1995). In a recent meta-analysis, McDowell Jacobs (2017) showed that presenting task in frequency format increases performance rates 24% compared only 4% same is presented probability format. Nevertheless, on average three quarters participants their meta-analysis failed obtain correct solution for such this paper, we present an...

10.3389/fpsyg.2018.01833 article EN cc-by Frontiers in Psychology 2018-10-12

In teaching statistics in secondary schools and at university, two visualizations are primarily used when situations with dichotomous characteristics represented: 2×2 tables tree diagrams. Both can be depicted either probabilities or frequencies. Visualizations frequencies have been shown to help students significantly more Bayesian reasoning problems than probability do. Because diagrams double-trees (which largely unknown school) node-branch-structures, these (compared the table) even...

10.3389/fpsyg.2020.00750 article EN cc-by Frontiers in Psychology 2020-05-26

Bayesian Reasoning is both a fundamental idea of probability and key model in applied sciences for evaluating situations uncertainty. may be defined as the dealing with, understanding of, situations. This includes various aspects such calculating conditional (performance), assessing effects changes to parameters formula on result (covariation) adequately interpreting explaining results (communication). crucial several non-mathematical disciplines medicine law. However, even experts from...

10.3390/math10091558 article EN cc-by Mathematics 2022-05-05

Abstract When physicians are asked to determine the positive predictive value from a priori probability of disease and sensitivity false rate medical test (Bayesian reasoning), it often comes misjudgments with serious consequences. In daily clinical practice, however, is not only important that doctors receive tool which they can correctly judge—the speed these judgments also crucial factor. this study, we analyzed accuracy efficiency in Bayesian inferences. an empirical study varied...

10.1007/s10459-020-10025-8 article EN cc-by Advances in Health Sciences Education 2021-02-12

In the present paper we empirically investigate psychometric properties of some most famous statistical and logical cognitive illusions from "heuristics biases" research program by Daniel Kahneman Amos Tversky, who nearly 50 years ago introduced fascinating brain teasers such as Linda problem, Wason card selection task, so-called Bayesian reasoning problems (e.g., mammography task). meantime, a great number articles has been published that examine single illusions, theoretically explaining...

10.3389/fpsyg.2021.584689 article EN cc-by Frontiers in Psychology 2021-04-12

Changing the information format from probabilities into frequencies as well employing appropriate visualizations such tree diagrams or 2 × tables are important tools that can facilitate people's statistical reasoning. Previous studies have shown despite their widespread use in textbooks, both of those visualization types only restricted help when they provided with probabilities, but foster insight presented instead. In present study, we attempt to replicate this effect and also examine, by...

10.3389/fpsyg.2019.00632 article EN cc-by Frontiers in Psychology 2019-05-15

Lignin is the second most abundant biopolymer on earth and accrues in large amounts pulp- paper industry. While currently lignins are mainly used for low-value applications such as energy production, recently potential of laccases upgrading has been demonstrated. In this study, two fungal bacterial origin were characterized regarding their to polymerize lignosulfonate. The MaL1 from Melanocarpus albomyces, SrLA Streptomyces rochei heterologously expressed showed typical characteristics...

10.1016/j.procbio.2021.07.001 article EN cc-by-nc-nd Process Biochemistry 2021-07-14

Previous research on Bayesian reasoning has typically investigated people’s ability to assess a posterior probability (i.e., positive predictive value) based prior knowledge base rate, true-positive and false-positive rate). In this article, we systematically examine the extent which people understand effects of changes in three input probabilities value, that is, covariational . regard, two different operationalizations for measuring by single-choice vs. slider format) are an empirical...

10.3389/fpsyg.2023.1184370 article EN cc-by Frontiers in Psychology 2023-10-16

Natural frequencies are known to improve performance in Bayesian reasoning. However, their impact situations with two binary events has not yet been completely examined, as most researchers the last 30 years focused only on conditional probabilities. Nevertheless, consist of 16 elementary probabilities and so we widen scope focus joint In this article, theoretically elaborate importance probabilities, for example, like Linda problem. Furthermore, implemented a study 2×5×2 design factors...

10.3389/fpsyg.2024.1296359 article EN cc-by Frontiers in Psychology 2024-04-10

Communicating well with patients is a competence central to everyday clinical practice, and communicating statistical information, especially in Bayesian reasoning tasks, can be challenging. In information communicated two different ways (which we call directions of information): The direction (e.g., proportion people tested positive among those the disease) diagnostic having disease positive). purpose this study was analyze impact both presented whether visualization (frequency net) it on...

10.1371/journal.pone.0283947 article EN cc-by PLoS ONE 2023-06-07

Questions involving Bayesian Reasoning often arise in events of everyday life, such as assessing the results a breathalyser test or medical diagnostic test. is perceived to be difficult, but visualisations are known support it. However, prior research on for has only rarely addressed issue how design most effective way according multimedia learning. In this article, we present concise overview subject-didactical considerations, together with fundamental both and Building these aspects,...

10.3390/educsci12110739 article EN cc-by Education Sciences 2022-10-25

Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., double-trees or net diagrams) leads to higher accuracy in solving these tasks. However, diagrams (which already contain the correct solution task, so that could be read not yet been studied medical education. This study examined influence format (probabilities v. frequencies) visualization...

10.1177/23814683221086623 article EN cc-by-nc MDM Policy & Practice 2022-01-01
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