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Jorge N. Tendeiro; Rink Hoekstra; Tsz Keung Wong; Henk A. L. Kiers – Teaching Statistics: An International Journal for Teachers, 2025
Most researchers receive formal training in frequentist statistics during their undergraduate studies. In particular, hypothesis testing is usually rooted on the null hypothesis significance testing paradigm and its p-value. Null hypothesis Bayesian testing and its so-called Bayes factor are now becoming increasingly popular. Although the Bayes…
Descriptors: Statistics Education, Teaching Methods, Programming Languages, Bayesian Statistics
Xiao Liu; Zhiyong Zhang; Lijuan Wang – Grantee Submission, 2024
In psychology, researchers are often interested in testing hypotheses about mediation, such as testing the presence of a mediation effect of a treatment (e.g., intervention assignment) on an outcome via a mediator. An increasingly popular approach to testing hypotheses is the Bayesian testing approach with Bayes factors (BFs). Despite the growing…
Descriptors: Sample Size, Bayesian Statistics, Programming Languages, Simulation
Tim Erickson – Australian Mathematics Education Journal, 2023
This short article continues the exploration of the Common Online Data Analysis Platform (CODAP) and statistics begun in the previous article "Statistical Investigations and CODAP, Part 1: EDA." In Part 2, the author discusses the teaching of statistical inference focusing on activities for the senior secondary years. In particular, the…
Descriptors: Computer Software, Statistics Education, Statistical Inference, Secondary Education
Endler Marcel Borges – Journal of Chemical Education, 2023
An understanding of statistical concepts is necessary for a chemist with a complete education. Here, statistical tests were taught using the R Commander and the Factoshiny packages. These packages run on R software and have a graphical user interface (GUI), which allows students to do statistical tests quickly and easily. These packages were…
Descriptors: Statistics Education, Programming Languages, Chemistry, Science Instruction
Roberto Silva de Souza Jr.; Endler Marcel Borges – Journal of Chemical Education, 2023
This laboratory experiment was divided into four parts. In the first part, students evaluate previously published data and check their normality using histograms, Q-Q plots, the Shapiro-Wilk test, and boxplots. In the second part, two different groups were compared. First, data normality and homoskedasticity were checked by using the Shapiro-Wilk…
Descriptors: Statistics Education, Hypothesis Testing, Chemistry, Comparative Analysis
Elizabeth S. Thrall; Fernando Martinez Lopez; Thomas J. Egg; Seung Eun Lee; Joshua Schrier; Yijun Zhao – Journal of Chemical Education, 2023
Given the growing prevalence of computational methods in chemistry, it is essential that undergraduate curricula introduce students to these approaches. One such area is the application of machine learning (ML) techniques to chemistry. Here we describe a new activity that applies ML regression analysis to the common physical chemistry laboratory…
Descriptors: Chemistry, Physics, Science Laboratories, Scientific Concepts
Eder José Assink Junior; Paulo Cesar de Jesus; Endler Marcel Borges – Journal of Chemical Education, 2023
Here, students determine the total protein content in whey protein samples using the Lowry assay. Quantitative analysis was carried out using absorbance measured at 750 nm (standard method) and 96-well-plate digital images obtained using smartphones (proposed method). The proposed method was carried out using two smartphones (1 and 2). Smartphone…
Descriptors: Chemistry, Science Education, Visual Aids, Handheld Devices
Kristin Porter; Luke Miratrix; Kristen Hunter – Society for Research on Educational Effectiveness, 2021
Background: Researchers are often interested in testing the effectiveness of an intervention on multiple outcomes, for multiple subgroups, at multiple points in time, or across multiple treatment groups. The resulting multiplicity of statistical hypothesis tests can lead to spurious findings of effects. Multiple testing procedures (MTPs)…
Descriptors: Statistical Analysis, Hypothesis Testing, Computer Software, Randomized Controlled Trials
Hovardas, Tasos; Zacharia, Zacharias; Xenofontos, Nikoletta; de Jong, Ton – Instructional Science: An International Journal of the Learning Sciences, 2022
We extended research on scaffolds for formulating scientific hypotheses, namely the Hypothesis Scratchpad (HS), in the domain of relative density. The sample comprised of secondary school students who used three different configurations of the HS: Fully structured, containing all words needed to formulate a hypothesis in the domain of the study;…
Descriptors: Computer Software, Science Process Skills, Hypothesis Testing, Secondary School Students
Vaske, Jerry J. – Sagamore-Venture, 2019
Data collected from surveys can result in hundreds of variables and thousands of respondents. This implies that time and energy must be devoted to (a) carefully entering the data into a database, (b) running preliminary analyses to identify any problems (e.g., missing data, potential outliers), (c) checking the reliability and validity of the…
Descriptors: Surveys, Theories, Hypothesis Testing, Effect Size
Stupel, Moshe; Weissman, Shula; Sigler, Avi – International Journal of Mathematical Education in Science and Technology, 2021
This paper presents research into closed orbits parallel to quadrilaterals inscribed in various geometric shapes that can be represented by mathematical functions: straight lines, circles, ellipses, parabolas, and hyperbolas. Mathematical proofs have been given for the existence of an infinite number of parallel orbits for each of these shapes.…
Descriptors: Geometric Concepts, Mathematical Logic, Computer Uses in Education, Computer Software
Brydges, Christopher R.; Gaeta, Laura – Journal of Speech, Language, and Hearing Research, 2019
Purpose: Evidence-based data analysis methods are important in clinical research fields, including speech-language pathology and audiology. Although commonly used, null hypothesis significance testing (NHST) has several limitations with regard to the conclusions that can be drawn from results, particularly nonsignificant findings. Bayes factors…
Descriptors: Bayesian Statistics, Statistical Analysis, Speech Language Pathology, Audiology
Norouzian, Reza; de Miranda, Michael; Plonsky, Luke – Modern Language Journal, 2019
Null hypothesis testing has long since been the 'go-to analytic approach' in quantitative second language (L2) research (Norris, 2015, p. 97). To many, however, years of reliance on this approach has resulted in a crisis of inference across the social and behavioral sciences (e.g., Rouder et al., 2016). As an alternative to the null hypothesis…
Descriptors: Bayesian Statistics, Second Language Learning, Second Language Instruction, Hypothesis Testing
A Review of Meta-Analysis Articles in Educational Sciences Conducted between 2010 and 2019 in Turkey
Eser, Mehmet Taha; Yurtçu, Meltem – International Journal of Progressive Education, 2020
This study examines meta-analysis studies published in the field of educational sciences from 2010-2019, in journals indexed within the scope of the TÜBITAK ULAKBIM TR Directory. Of the 163 studies scanned, 26 meta-analysis studies that meet the inclusion criteria constitute the sample of this content analysis study. Within this research, a…
Descriptors: Meta Analysis, Educational Research, Journal Articles, Research Methodology
Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork