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Showing 1 to 15 of 83 results Save | Export
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Huinan Liu; Bo Chen; Kai Chen; Yanting Jing – Journal of Chemical Education, 2023
The diversity of scientific methods has received increasing attention in the field of science education. This paper aimed to investigate how preservice chemistry teachers perceive scientific methods and their diversity. Based on the theoretical framework of Brandon's Matrix and previous research, two tasks (i.e., Task 1 "understanding of the…
Descriptors: Preservice Teachers, Knowledge Level, Scientific Methodology, Diversity
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Baur, Armin – International Journal of Science Education, 2023
Student problems (preconceptions, errors, and learner-specific approaches) that arise when planning and conducting experiments are relevant for lesson planning and the further development of teaching practice overall. student problems are understood as a learning opportunity. So far, little attention has been paid to the relationships between…
Descriptors: Science Education, Science Experiments, Inquiry, Misconceptions
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CadwalladerOlsker, Todd – Mathematics Teacher, 2019
Students studying statistics often misunderstand what statistics represent. Some of the most well-known misunderstandings of statistics revolve around null hypothesis significance testing. One pervasive misunderstanding is that the calculated p-value represents the probability that the null hypothesis is true, and that if p < 0.05, there is…
Descriptors: Statistics, Mathematics Education, Misconceptions, Hypothesis Testing
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Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Statistics Education Research Journal, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
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Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Grantee Submission, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
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Thompson, W. Burt – Teaching of Psychology, 2019
When a psychologist announces a new research finding, it is often based on a rejected null hypothesis. However, if that hypothesis is true, the claim is a false alarm. Many students mistakenly believe that the probability of committing a false alarm equals alpha, the criterion for statistical significance, which is typically set at 5%. Instructors…
Descriptors: Statistical Analysis, Hypothesis Testing, Misconceptions, Data Interpretation
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Travers, Jason C.; Cook, Bryan G.; Cook, Lysandra – Learning Disabilities Research & Practice, 2017
"p" values are commonly reported in quantitative research, but are often misunderstood and misinterpreted by research consumers. Our aim in this article is to provide special educators with guidance for appropriately interpreting "p" values, with the broader goal of improving research consumers' understanding and interpretation…
Descriptors: Statistical Analysis, Special Education, Research, Hypothesis Testing
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Miller, Jeff – Educational and Psychological Measurement, 2017
Critics of null hypothesis significance testing suggest that (a) its basic logic is invalid and (b) it addresses a question that is of no interest. In contrast to (a), I argue that the underlying logic of hypothesis testing is actually extremely straightforward and compelling. To substantiate that, I present examples showing that hypothesis…
Descriptors: Hypothesis Testing, Testing Problems, Test Validity, Relevance (Education)
Reaburn, Robyn – Mathematics Education Research Group of Australasia, 2017
It is well known that students of inferential statistics find the hypothetical, probabilistic reasoning used in hypothesis tests difficult to understand. Consequently, they will also have difficulties in understanding "p"-values. It is not unusual for these students to hold misconceptions about "p"-values that are difficult to…
Descriptors: Foreign Countries, Mathematics Teachers, Statistics, Beliefs
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Zhu, Yanmei; Zhang, Li; Leng, Yue; Pang, Ridong; Wang, Xiaole – Mind, Brain, and Education, 2019
Event-related potentials are used to test the hypothesis that an intuitive misconception persists in the mind even after the acquisition of scientific knowledge. We investigated the temporal dynamics of neural mechanisms in solving a scientific problem involving a common misconception. It showed that the increased P2 component was elicited by the…
Descriptors: Brain Hemisphere Functions, Diagnostic Tests, Misconceptions, Hypothesis Testing
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Asshoff, Roman; Heuckmann, Benedikt; Ryl, Mike; Reinhardt, Klaus – CBE - Life Sciences Education, 2022
Bed bugs are on the rise and are increasingly perceived as harmful parasites. Because individuals affected by bed bugs often feel disgust and shame and are stigmatized, bed bugs are an important public health and environmental justice concern and therefore a health education issue as well. In this quasi-experimental study, we examine how different…
Descriptors: Animals, Entomology, Social Bias, Psychological Patterns
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Frane, Andrew V. – Journal of Research Practice, 2015
Scientific research often involves testing more than one hypothesis at a time, which can inflate the probability that a Type I error (false discovery) will occur. To prevent this Type I error inflation, adjustments can be made to the testing procedure that compensate for the number of tests. Yet many researchers believe that such adjustments are…
Descriptors: Hypothesis Testing, Scientific Research, Statistical Analysis, Misconceptions
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Lawrence, Eva K.; Estow, Sarah – Applied Environmental Education and Communication, 2017
This study examined responses to climate change misinformation and messages designed to counter misinformation. Participants (N = 406) first responded to a social media post denying the existence of global warming and then were randomly assigned to read one of three responses to the original post (correction, collaboration, control). Participants…
Descriptors: Climate, Environmental Education, Misconceptions, Social Media
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Lee, Christopher J.; Toven-Lindsey, Brit; Shapiro, Casey; Soh, Michael; Mazrouee, Sepideh; Levis-Fitzgerald, Marc; Sanders, Erin R. – CBE - Life Sciences Education, 2018
We sought to test a hypothesis that systemic blind spots in active learning are a barrier both for instructors--who cannot see what every student is actually thinking on each concept in each class--and for students--who often cannot tell precisely whether their thinking is right or wrong, let alone exactly how to fix it. We tested a strategy for…
Descriptors: Active Learning, Problem Solving, Discovery Learning, Misconceptions
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Lane-Getaz, Sharon – Statistics Education Research Journal, 2017
In reaction to misuses and misinterpretations of p-values and confidence intervals, a social science journal editor banned p-values from its pages. This study aimed to show that education could address misuse and abuse. This study examines inference-related learning outcomes for social science students in an introductory course supplemented with…
Descriptors: Statistical Inference, Outcomes of Education, Introductory Courses, Social Sciences
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