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Against Inferential Statistics: How and Why Current Statistics Teaching Gets It Wrong
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White, Patrick; Gorard, Stephen – Statistics Education Research Journal, 2017
Recent concerns about a shortage of capacity for statistical and numerical analysis skills among social science students and researchers have prompted a range of initiatives aiming to improve teaching in this area. However, these projects have rarely re-evaluated the content of what is taught to students and have instead focussed primarily on…
Descriptors: Statistical Inference, Statistics, Teaching Methods, Social Science Research
An Academic Survey Concerning High School and University Students' Attitudes and Approaches to Problem Solving in Chemistry
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Duran, Muharrem – International Journal of Environmental and Science Education, 2016
The aim of this study is to reveal differences between attitudes and approaches of students from different types of high school and the first grade of university towards problem solving in chemistry. For this purpose, the scale originally developed by Mason and Singh (2010) to measure students' attitude and approaches towards problem solving in…
Descriptors: High School Students, Student Attitudes, Problem Solving, Chemistry
Is Chemistry Attractive for Pupils? Czech Pupils' Perception of Chemistry
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Kubiatko, Milan – EURASIA Journal of Mathematics, Science & Technology Education, 2015
Chemistry is an important subject due to understanding the composition and structure of the things around us. The main aim of the study was to find out the perception of chemistry by lower secondary school pupils. The partial aims were to find out the influence of gender, year of study and favorite subject on the perception of chemistry. The…
Descriptors: Foreign Countries, Chemistry, Secondary School Science, Secondary School Students
Researchers' Perceptions of Statistical Significance Contribute to Bias in Health and Exercise Science
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Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
Confidence Intervals Make a Difference: Effects of Showing Confidence Intervals on Inferential Reasoning
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Hoekstra, Rink; Johnson, Addie; Kiers, Henk A. L. – Educational and Psychological Measurement, 2012
The use of confidence intervals (CIs) as an addition or as an alternative to null hypothesis significance testing (NHST) has been promoted as a means to make researchers more aware of the uncertainty that is inherent in statistical inference. Little is known, however, about whether presenting results via CIs affects how readers judge the…
Descriptors: Computation, Statistical Analysis, Hypothesis Testing, Statistical Significance
Identities and Transformational Experiences for Quantitative Problem Solving: Gender Comparisons of First-Year University Science Students
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Hudson, Peter; Matthews, Kelly – Journal of Science and Mathematics Education in Southeast Asia, 2012
Women are underrepresented in science, technology, engineering and mathematics (STEM) areas in university settings; however this may be the result of attitude rather than aptitude. There is widespread agreement that quantitative problem-solving is essential for graduate competence and preparedness in science and other STEM subjects. The research…
Descriptors: Females, Student Attitudes, Statistical Significance, Males