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Avci, Esat; Coskuntuncel, Orkun – Pegem Journal of Education and Instruction, 2019
The purpose of this research is to examine the views of middle school mathematics teachers about the usability of VUstat and TinkerPlots software in data processing learning in the Curriculum of Mathematics Teaching in Middle School (5th, 6th, 7th and 8th grades). In the study, the phenomenology design from qualitative research patterns was…
Descriptors: Middle School Teachers, Mathematics Teachers, Teacher Attitudes, Computer Uses in Education
Saidi, Siti Shahirah; Siew, Nyet Moi – International Electronic Journal of Mathematics Education, 2019
This study is an assessment of the reliability and validity analysis of Statistical Reasoning Test Survey (SRTS) instrument using the Rasch Measurement Model. The SRTS instrument was developed by the researchers to assess students' statistical reasoning in descriptive statistics among Tenth Grade science- stream students in rural schools. SRTS was…
Descriptors: Test Reliability, Test Validity, Item Response Theory, Grade 10
Wathen, Samuel; Rhew, Nicholas D. – Decision Sciences Journal of Innovative Education, 2019
A primary goal of introductory statistics courses is to develop a student's ability to think statistically. To motivate students to this end, the literature suggests that statistics courses use exercises that are relevant and familiar to students. Work in educational psychology highlights the importance of connecting new concepts to pre-existing…
Descriptors: Team Sports, Data Use, Introductory Courses, Statistics
Bebermeier, Sarah; Kerkhoff, Denise – Psychology Teaching Review, 2019
The Etherpad is an open source online editor providing the possibility for collaborative writing and discussions in real-time via a shared link. Previous research has shown that the use of technology in higher education can be effective and that online editors can facilitate collaborative learning. This article outlines the use of the Etherpad in…
Descriptors: Open Source Technology, Collaborative Writing, Editing, Technology Uses in Education
Aksu, Gokhan; Reyhanlioglu Keceoglu, Cigdem – Eurasian Journal of Educational Research, 2019
Purpose: In this study, Logistic Regression (LR), CHAID (Chi-squared Automatic Interaction Detection) analysis and data mining methods are used to investigate the variables that predict the mathematics success of the students. Research Methods: In this study, a quantitative research design was employed during the data collection and the analysis…
Descriptors: Regression (Statistics), Data Collection, Information Retrieval, Predictor Variables
Steedle, Jeffrey T.; Morrison, Kristin M. – Educational Assessment, 2019
Assessment items are commonly field tested prior to operational use to observe statistical item properties such as difficulty. Item parameter estimates from field testing may be used to assign scores via pre-equating or computer adaptive designs. This study examined differences between item difficulty estimates based on field test and operational…
Descriptors: Field Tests, Test Items, Statistics, Difficulty Level
Luo, Yong; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2019
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent…
Descriptors: Item Response Theory, Monte Carlo Methods, Markov Processes, Outcome Measures
Vaheoja, Monika; Verhelst, N. D.; Eggen, T.J.H.M. – European Journal of Science and Mathematics Education, 2019
In this article, the authors applied profile analysis to Maths exam data to demonstrate how different exam forms, differing in difficulty and length, can be reported and easily interpreted. The results were presented for different groups of participants and for different institutions in different Maths domains by evaluating the balance. Some…
Descriptors: Feedback (Response), Foreign Countries, Statistical Analysis, Scores
Mezhennaya, Natalia M.; Pugachev, Oleg V. – European Journal of Contemporary Education, 2019
Typical difficulties in learning probabilistic subjects are concerned with big data, complicated formulas and inconvenient figures in statistical analyses. The present research considers the usage of innovative teaching methods (e.g. electronic summary of lectures, presentations of lecture courses, task solution templates, electronic training…
Descriptors: Mathematics Instruction, Probability, Statistics, Teaching Methods
Yousef, Darwish Abdulrahman – Quality Assurance in Education: An International Perspective, 2019
Purpose: The present study aims to investigate the effects of a number of demographic and academic factors, such as gender, age, nationality (Emirati vs non-Emirati), high school major (arts vs science) and high school score, on the academic performance -- measured by overall grade point average -- of undergraduate students majoring in statistics…
Descriptors: Academic Achievement, Statistics, Undergraduate Students, Generalization
Hearing Matters More than Seeing: A Cross-Modality Study of Statistical Learning and Reading Ability
Qi, Zhenghan; Sanchez Araujo, Yoel; Georgan, Wendy C.; Gabrieli, John D. E.; Arciuli, Joanne – Scientific Studies of Reading, 2019
There is growing interest in the link between implicit statistical learning (SL) and reading ability. Although learning to read involves both auditory and visual modalities, it is not known whether reading skills might be more strongly associated with auditory SL or visual SL. Here we assessed SL across both modalities in 36 typically developing…
Descriptors: Children, Adolescents, Adults, Reading Ability
Lovett, Jennifer N.; Jones, Ryan Seth; Duncan, Matthew – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
Informal inference is a critical practice for students to engage in if they are to understand formal statistical methods. However, during informal inference students often utilize complex ideas that many in-service teachers are not prepared for as they have not had the opportunity to think deeply about statistics and develop statistical knowledge…
Descriptors: Inferences, Teaching Methods, Mathematics Instruction, Statistics
Jarosz, Andrew F.; Wiley, Jennifer – Journal of Problem Solving, 2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the "Journal of Problem Solving." The Bayes factor provides information with a similar purpose to the "p"-value--to allow the researcher to make…
Descriptors: Problem Solving, Bayesian Statistics, Statistical Inference, Computation
Cowan, James; Goldhaber, Dan – Center for Education Data & Research, 2015
We study a teacher incentive policy in Washington State that awards a financial bonus to National Board Certified Teachers who teach in high-poverty schools. We study the effects of the policy on student achievement and teacher staffing using a regression discontinuity design that exploits the fact that eligibility for the bonus is based on the…
Descriptors: Disadvantaged Schools, Poverty, Merit Pay, Academic Achievement
Jones, Dustin L.; Scariano, Stephen M. – Teaching Statistics: An International Journal for Teachers, 2014
Students have intuitive notions of the meaning of variability; some may see variability as how values in a set vary from each other. This article provides a measure of variability that is based on that conception. We introduce this new measure and a method for calculating it. Finally, we prove that this measure is equivalent to the population…
Descriptors: Data, Measurement, Computation, Statistics

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