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Muurlink, Olav; Gould, Anthony M.; Joullié, Jean-Etienne – Sociological Methods & Research, 2023
Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…
Descriptors: Visual Aids, Visualization, Data Analysis, Research Methodology
Cuellar, Edwin; Partchev, Ivailo; Zwitser, Robert; Bechger, Timo – Educational Assessment, Evaluation and Accountability, 2021
International large-scale assessment in education aims to compare educational achievement across many countries. Differences between countries in language, culture, and education give rise to differential item functioning (DIF). For many decades, DIF has been regarded as a nuisance and a threat to validity. In this paper, we take a different…
Descriptors: International Assessment, Academic Achievement, Test Bias, Achievement Tests
Bowers, Alex J.; Zhao, Yihan; Ho, Eric – High School Journal, 2022
Research on data use and school Early Warning Systems (EWS) notes a central practice of researchers and practitioners is to search for patterns in student data to predict outcomes so schools can support success when students experience challenges. Yet, the domain lacks a means to visualize the rich longitudinal data that schools collect. Here, we…
Descriptors: Learning Analytics, Visual Aids, Student Records, Longitudinal Studies
Hiroto Namihira – IGI Global, 2024
Academic scholars face a difficult challenge when attempting to grasp the intricate world of mathematics. The complexity of mathematical concepts often lies hidden beneath layers of formulas and procedures, obscuring their true essence. Traditional educational resources often fall short in conveying the profound meaning behind these concepts,…
Descriptors: Information Technology, Visual Aids, Mathematics Education, Technology Uses in Education
Peterson, Anna D.; Ziegler, Laura – Journal of Statistics and Data Science Education, 2021
We present an innovative activity that uses data about LEGO sets to help students self-discover multiple linear regressions. Students are guided to predict the price of a LEGO set posted on Amazon.com (Amazon price) using LEGO characteristics such as the number of pieces, the theme (i.e., product line), and the general size of the pieces. By…
Descriptors: Toys, Statistics Education, Teaching Methods, Regression (Statistics)
Valero-Mora, Pedro; Rodrigo, María F.; Sanchez, Mar; SanMartin, Jaime – Practical Assessment, Research & Evaluation, 2019
Missing data patterns are the combinations in which the variables with missing values occur. Exploring these patterns in multivariate data can be very useful but there are few specialized tools. The current paper presents a plot that includes relevant information for visualizing these patterns. The plot is also dynamic-interactive; so, selecting…
Descriptors: Data, Multivariate Analysis, Visual Aids, Statistical Analysis
Myint, Leslie; Hadavand, Aboozar; Jager, Leah; Leek, Jeffrey – Journal of Statistics Education, 2020
We performed an empirical study of the perceived quality of scientific graphics produced by beginning R users in two plotting systems: the base graphics package ("base R") and the ggplot2 add-on package. In our experiment, students taking a data science course on the Coursera platform were randomized to complete identical plotting…
Descriptors: Statistics, Randomized Controlled Trials, Teaching Methods, Courseware
Kazak, Sibel; Fujita, Taro; Turmo, Manoli Pifarre – Mathematical Thinking and Learning: An International Journal, 2023
In today's age of information, the use of data is very powerful in making informed decisions. Data analytics is a field that is interested in identifying and interpreting trends and patterns within big data to make data-driven decisions. We focus on informal statistical inference and data modeling as a means of developing students' data analytics…
Descriptors: Statistical Inference, Mathematics Skills, Mathematics Instruction, Secondary School Students
Ludlow, Larry; Ell, Fiona; Cochran-Smith, Marilyn; Newton, Avery; Trefcer, Kaitlin; Klein, Kelsey; Grudnoff, Lexie; Haigh, Mavis; Hill, Mary F. – Complicity: An International Journal of Complexity and Education, 2017
Our purpose is to provide an exploratory statistical representation of initial teacher education as a complex system comprised of dynamic influential elements. More precisely, we reveal what the system looks like for differently-positioned teacher education stakeholders based on our framework for gathering, statistically analyzing, and graphically…
Descriptors: Systems Approach, Preservice Teacher Education, Statistical Analysis, Stakeholders
Schneider, Sascha; Dyrna, Jonathan; Meier, Luis; Beege, Maik; Rey, Günter Daniel – Journal of Educational Psychology, 2018
Decorative pictures, which make a learning text aesthetically appealing rather than provide information, have been predominantly found to impair learning by an increase of learning-irrelevant cognitive processes. Recent research, however, indicates that this effect is moderated by various factors. On the basis of cognitive-affective theories and…
Descriptors: Visual Aids, Multimedia Instruction, Multimedia Materials, Instructional Materials
Schneider, Sascha; Nebel, Steve; Beege, Maik; Rey, Günter Daniel – Journal of Educational Psychology, 2018
When people attribute human characteristics to nonhuman objects they are amenable to anthropomorphism. For example, human faces or the insertion of personalized labels are found to trigger anthropomorphism. Two studies examine the effects of these features when included in decorative pictures in multimedia learning materials. In a first…
Descriptors: Visual Aids, Multimedia Materials, Instructional Materials, College Students
Clark-Gordon, Cathlin V.; Bowman, Nicholas D.; Watts, Evan R.; Banks, Jaime; Knight, Jennifer M. – Communication Education, 2018
Research has established that students often consider the delivery of instructor feedback to be a face-threatening event. To minimize the potential negative effects of feedback, verbal and nonverbal face-threat mitigation (FTM) strategies are utilized by instructors. Advances in digital feedback systems, like online documents and learning…
Descriptors: Cues, Nonverbal Communication, Teacher Student Relationship, Feedback (Response)

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