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Kazak, Sibel; Pratt, Dave; Gökce, Rukiye – ZDM: The International Journal on Mathematics Education, 2018
We explore 11-12-year-old students' emerging ideas of models and modelling as they engage in a data-modelling task involving inquiry based on data obtained from an experiment. We report on a design-based study in which students identified what and how to measure, decided how to structure and represent data, and made inferences and predictions…
Descriptors: Data, Models, Grade 6, Mathematics Instruction
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Evans, Jeff – Adults Learning Mathematics, 2018
Statistics is one of the important branches of mathematics taught in schools, colleges and universities. It is also an important tool in public policy discussions. This paper focuses on the use of statistics in the latter context, rather than its use in adult mathematics education research. I review the key characteristics of the statistical…
Descriptors: Statistics, Public Policy, Adult Education, Mathematics Education
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Prinz, Anja; Golke, Stefanie; Wittwer, Jörg – Instructional Science: An International Journal of the Learning Sciences, 2018
Research shows that misconceptions are usually detrimental to text comprehension. However, whether misconceptions also impair metacomprehension accuracy, that is, the accuracy with which one self-assesses one's text comprehension, has received far less attention. We conducted a study in which we examined students' (N = 47) comprehension and…
Descriptors: Misconceptions, Metacognition, Accuracy, Statistics
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Wyse, Adam E. – Measurement: Interdisciplinary Research and Perspectives, 2018
A key part of determining cut-scores when performing Angoff standard setting is utilizing equating methods to place standard-setting ratings onto the scale used to report scores to examinees. This article describes three equating methods that can be employed to place Angoff ratings onto the scale used to report scores to examinees when applying…
Descriptors: Standard Setting (Scoring), Equated Scores, Probability, Regression (Statistics)
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McMaster, Kirby; Rague, Brian; Wolthuis, Stuart L.; Sambasivam, Samuel – Information Systems Education Journal, 2018
This research study provides an examination of the relatively new fields of Data Analytics and Data Science. We compare word rates in Data Analytics and Data Science documents to determine which concepts are mentioned most often. The most frequent concept in both fields is "data." The word rate for "data" is more than twice the…
Descriptors: Data Analysis, Data Collection, Comparative Analysis, Statistics
American Association of Community Colleges, 2018
According to data recently released by the National Center for Education Statistics, most adults in the workforce (58 percent) either have a postsecondary degree or some other form of workforce credential, including postsecondary certificates, occupational licenses or occupational certifications. This is higher than the 45 percent of adult workers…
Descriptors: Postsecondary Education, Adults, Educational Attainment, Credentials
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Zekeri, Andrew A.; Diabate, Youssouf; Nnedu, Cordelia C.; Zekeri, Lilian U. – College Student Journal, 2019
Drawing on data from the survey of former students, the primary purpose of this analysis is to identify determinants of students' performance in a sociological statistics class. Multiple correlation regression was used in analyzing the data. The results revealed that student status, previous courses taken in mathematics and statistics were the…
Descriptors: Academic Achievement, Statistics Education, College Students, Sociology
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Aert, Robbie C. M.; Jackson, Dan – Research Synthesis Methods, 2019
The Hartung-Knapp method for random-effects meta-analysis, that was also independently proposed by Sidik and Jonkman, is becoming advocated for general use. This method has previously been justified by taking all estimated variances as known and using a different pivotal quantity to the more conventional one when making inferences about the…
Descriptors: Meta Analysis, Least Squares Statistics, Inferences, Guidelines
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Tipton, Elizabeth; Pustejovsky, James E.; Ahmadi, Hedyeh – Research Synthesis Methods, 2019
Having surveyed the history and methods of meta-regression in a previous paper, in this paper, we review which and how meta-regression methods are applied in recent research syntheses. To do so, we reviewed studies published in 2016 across four leading research synthesis journals: "Psychological Bulletin," the "Journal of Applied…
Descriptors: Medical Research, Psychological Studies, Regression (Statistics), Journal Articles
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Odiri, Amatari Veronica – Education Quarterly Reviews, 2019
The primary objective of the study is to examine the level of awareness and usage of data triangulation among under and post graduates in the tertiary institution. A descriptive survey was adopted and data collected from a sample of 114 selected randomly. A self-developed and validated instrument was used to collect data. Data collected were…
Descriptors: Foreign Countries, College Students, Data Use, Data Analysis
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Zhan, Peida; Jiao, Hong; Man, Kaiwen; Wang, Lijun – Journal of Educational and Behavioral Statistics, 2019
In this article, we systematically introduce the just another Gibbs sampler (JAGS) software program to fit common Bayesian cognitive diagnosis models (CDMs) including the deterministic inputs, noisy "and" gate model; the deterministic inputs, noisy "or" gate model; the linear logistic model; the reduced reparameterized unified…
Descriptors: Bayesian Statistics, Computer Software, Models, Test Items
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Liebscher, Eckhard; Michael, Ben – International Electronic Journal of Mathematics Education, 2019
In the paper a software solution is presented for the generation of instances of exercises. The focus is on education in mathematics but the approach can be adopted in other fields such as computer science and natural science. The present solution uses the R environment for the generation process and LaTeX for the content presentation. In the…
Descriptors: Mathematics Instruction, Electronic Learning, Integrated Learning Systems, Probability
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Lortie-Forgues, Hugues; Inglis, Matthew – Educational Researcher, 2019
In this response, we first show that Simpson's proposed analysis answers a different and less interesting question than ours. We then justify the choice of prior for our Bayes factors calculations, but we also demonstrate that the substantive conclusions of our article are not substantially affected by varying this choice.
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
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Lanham, Susan W. – American Journal of Business Education, 2019
Most literature related to Benford's Law discusses what the law can be used for and how it works but fails to address effective methods and procedures for teaching the law to students. This article examines existing information resources to determine the most effective methods and procedures used to explain this Law to those who have no experience…
Descriptors: Data Analysis, Instructional Effectiveness, Probability, Statistics
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How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
In science, technology, engineering, arts, and mathematics (STEAM) education, artificial intelligence (AI) analytics are useful as educational scaffolds to educe (draw out) the students' AI-Thinking skills in the form of AI-assisted human-centric reasoning for the development of knowledge and competencies. This paper demonstrates how STEAM…
Descriptors: STEM Education, Art Education, Artificial Intelligence, Educational Technology
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