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Showing 1 to 15 of 63 results Save | Export
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Tenko Raykov; Lisa Calvocoressi; Randall E. Schumacker – Measurement: Interdisciplinary Research and Perspectives, 2024
This paper is concerned with the process of selecting between the increasingly popular bi-factor model and the second-order factor model in measurement research. It is indicated that in certain settings widely used in empirical studies, the second-order model is nested in the bi-factor model and obtained from the latter after imposing appropriate…
Descriptors: Factor Analysis, Decision Making, Computer Software, Measurement Techniques
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Kylie E. Hunter; Mason Aberoumand; Sol Libesman; James X. Sotiropoulos; Jonathan G. Williams; Jannik Aagerup; Rui Wang; Ben W. Mol; Wentao Li; Angie Barba; Nipun Shrestha; Angela C. Webster; Anna Lene Seidler – Research Synthesis Methods, 2024
Increasing concerns about the trustworthiness of research have prompted calls to scrutinise studies' Individual Participant Data (IPD), but guidance on how to do this was lacking. To address this, we developed the IPD Integrity Tool to screen randomised controlled trials (RCTs) for integrity issues. Development of the tool involved a literature…
Descriptors: Integrity, Randomized Controlled Trials, Participant Characteristics, Computer Software
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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
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Shermis, Mark D. – Journal of Educational Measurement, 2022
One of the challenges of discussing validity arguments for machine scoring of essays centers on the absence of a commonly held definition and theory of good writing. At best, the algorithms attempt to measure select attributes of writing and calibrate them against human ratings with the goal of accurate prediction of scores for new essays.…
Descriptors: Scoring, Essays, Validity, Writing Evaluation
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Marcel R. Haas; Colin Caprani; Benji T. van Beurden – Journal of Learning Analytics, 2023
We present an innovative modelling technique that simultaneously constrains student performance, course difficulty, and the sensitivity with which a course can differentiate between students by means of grades. Grade lists are the only necessary ingredient. Networks of courses will be constructed where the edges are populations of students that…
Descriptors: Bayesian Statistics, Computer Software, Learning Analytics, Grades (Scholastic)
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Raykov, Tenko; DiStefano, Christine; Calvocoressi, Lisa; Volker, Martin – Educational and Psychological Measurement, 2022
A class of effect size indices are discussed that evaluate the degree to which two nested confirmatory factor analysis models differ from each other in terms of fit to a set of observed variables. These descriptive effect measures can be used to quantify the impact of parameter restrictions imposed in an initially considered model and are free…
Descriptors: Effect Size, Models, Measurement Techniques, Factor Analysis
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David Mainka; Julius Krause; Linus Großmann; Andreas Link; Lukas Schulig – Journal of Chemical Education, 2023
The pharmaceutical industry relies heavily on analytical techniques for identifying and characterizing drug compounds. In this experiment, undergraduate pharmacy students explored the applications of near-infrared spectroscopy for pharmaceutical analysis and its potential for identifying patterns and relationships among pharmaceutical samples. In…
Descriptors: Pharmaceutical Education, Undergraduate Study, Spectroscopy, College Science
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Paolino, Jon-Paul – Teaching Statistics: An International Journal for Teachers, 2021
This paper presents a novel method for introductory teaching of the sample linear correlation coefficient from a bivariate dataset. Linear correlation is typically included in curriculums at the secondary and introductory tertiary levels of education. The method discussed herein can be used by educators in elementary courses at either of these…
Descriptors: Statistics Education, Teaching Methods, Introductory Courses, Correlation
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Miles, Sandra J. – Mathematics Teacher: Learning and Teaching PK-12, 2022
To improve understanding of identities and inverses, and to provide a stronger foundation for future mathematics, Sandra Miles designed a two-part lesson that makes the relationship between identities and inverses explicit. This article illustrates Miles' teaching of the first part of the lesson, focused on addition and subtraction, and then gives…
Descriptors: Science Instruction, Mathematics Instruction, Grade 7, Grade 6
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Fancsali, Stephen E.; Murphy, April; Ritter, Steve – International Educational Data Mining Society, 2022
Ten years after the announcement of the "rise of the super experiment" at Educational Data Mining 2012, challenges to implementing "internet scale" educational experiments often persist for educational technology providers, especially when they seek to test substantive instructional interventions. Studies that deploy and test…
Descriptors: Learning Analytics, Educational Technology, Barriers, Data Analysis
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Nemirovsky, Ricardo; Ferrara, Francesca; Ferrari, Giulia; Adamuz-Povedano, Natividad – Educational Studies in Mathematics, 2020
This paper focuses on the emergence of abstraction through the use of a new kind of motion detector--WiiGraph--with 11-year-old children. In the selected episodes, the children used this motion detector to create three simultaneous graphs of position vs. time: two graphs for the motion of each hand and a third one corresponding to their…
Descriptors: Motion, Algebra, Mathematics Instruction, Computer Software
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Albertazzi, Deise; Ferreira, Marcelo Gitirana Gomes; Forcellini, Fernando Antônio – Technology, Knowledge and Learning, 2019
This paper presents an overview of gamification research. It introduces a panoramic research map that comprises a research map and keyword maps for each year of publication of research on gamification. The panoramic research map resulted in a detailed view of gamification research: covered areas, types of published papers, gaps, and most…
Descriptors: Computer Games, Information Retrieval, Research Reports, Learning Experience
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Gordon, Sheldon P.; Gordon, Florence S. – International Journal for Technology in Mathematics Education, 2018
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to regression and correlation analysis to increase student understanding of the concepts and methods in elementary statistics courses and in courses at the college algebra/precalculus level that…
Descriptors: Visualization, Regression (Statistics), Correlation, Computer Software
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Ciasullo, Alessandro – Research on Education and Media, 2018
The universality of the educational activities must be in agreement with a series of systems that involve the universality of the subjects who learn and their physical, mental, belief, race and religion differences. The possibilities promoted by an immersive education --made of stimuli aimed at transformation through the use of virtual…
Descriptors: Inclusion, Computer Simulation, Teaching Methods, Computer Software
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Ozdemir, Durmus; Ugur, Mehmet Emin – Turkish Online Journal of Distance Education, 2021
The aim of this study is to present a model proposal on determining the student participation rate in synchronous courses given in Learning Management Systems (LMS). Especially in situations where equal opportunities cannot be provided or opportunities are limited, distance education provides benefits for learning anytime and anywhere (ubiquitous…
Descriptors: Attendance, Distance Education, Online Courses, Open Education
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