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Groth, Randall E. – Clearing House: A Journal of Educational Strategies, Issues and Ideas, 2017
Qualitative classroom data from video recordings and students' written work can play important roles in improving mathematics instruction. In order to take full advantage of these data sources, it is helpful to have a strong analytic lens to orient one's reflections on the data. One promising analytic lens is the National Research Council's five…
Descriptors: Data Analysis, Mathematics Instruction, Mathematics Achievement, Qualitative Research
Wu, Wei; Jia, Fan; Kinai, Richard; Little, Todd D. – International Journal of Behavioral Development, 2017
Spline growth modelling is a popular tool to model change processes with distinct phases and change points in longitudinal studies. Focusing on linear spline growth models with two phases and a fixed change point (the transition point from one phase to the other), we detail how to find optimal data collection designs that maximize the efficiency…
Descriptors: Longitudinal Studies, Data Collection, Models, Change
Scalfani, Vincent F. – Issues in Science and Technology Librarianship, 2017
Programmatic text analysis can be used to understand patterns and reveal trends in data that would otherwise be difficult or impossible to uncover with manual coding methods. This work uses programmatic text analysis, specifically term frequency counts, to study nearly 10,000 chemistry thesis and dissertation titles from 1911-2015. The thesis and…
Descriptors: Chemistry, Theses, Doctoral Dissertations, Scientific Research
Buser, Peter; Semmler, Klaus-Dieter – Journal of Learning Analytics, 2017
These pages aim to explain and interpret why the late Mika Seppälä, a conformal geometer, proposed to model student study behaviour using concepts from conformal geometry, such as Riemann surfaces and Strebel differentials. Over many years Mika Seppälä taught online calculus courses to students at Florida State University in the United States, as…
Descriptors: Geometry, Student Behavior, Mathematical Models, Graphs
Ng, Laura; Carney, Mary A. – Teaching & Learning Inquiry, 2017
Scholarly personal narrative (SPN) extends the available methodologies by which researchers conduct the Scholarship of Teaching and Learning (SoTL). In this article, the authors define SPN, which interprets personal experience through scholarly frameworks, leveraging the power of reflective practice to understand the interpersonal dynamics of both…
Descriptors: Scholarship, Instruction, Learning, Personal Narratives
Bergeron, Pierre-Jérôme – McGill Journal of Education, 2017
This paper presents a critical analysis, from the point of view of a statistician, of the methodology used by Hattie in "Visible Learning," and explains why it must absolutely be called pseudoscience. We first discuss what appears to be the intentions of Hattie's approach. Then we describe the major mistakes in "Visible…
Descriptors: Scientific Concepts, Misconceptions, Statistics, Teaching Methods
Rudziewicz, Michael; Bossé, Michael J.; Marland, Eric S.; Rhoads, Gregory S. – International Journal for Mathematics Teaching and Learning, 2017
Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of "best fit" to two-dimensional scatter plots of data. The study investigates…
Descriptors: Visualization, Pattern Recognition, Graphs, Data
Alzafari, Khaled – Quality in Higher Education, 2017
Quality in higher education is an attractive and important field not only for higher education institutions but also for their stakeholders. However, the research field is very complex due to the overlapping and interlinking of its topics. Over the years, an enormous amount of studies has been devoted to exploring different topics. Nevertheless,…
Descriptors: Educational Quality, Higher Education, Publications, Correlation
Nicholson, Jody S.; Deboeck, Pascal R.; Howard, Waylon – International Journal of Behavioral Development, 2017
Inherent in applied developmental sciences is the threat to validity and generalizability due to missing data as a result of participant drop-out. The current paper provides an overview of how attrition should be reported, which tests can examine the potential of bias due to attrition (e.g., t-tests, logistic regression, Little's MCAR test,…
Descriptors: Attrition (Research Studies), Developmental Psychology, Psychological Studies, Statistical Analysis
Aragón, Sonia; Lapresa, Daniel; Arana, Javier; Anguera, M. Teresa; Garzón, Belén – Measurement in Physical Education and Exercise Science, 2017
Polar coordinate analysis is a powerful data reduction technique based on the Zsum statistic, which is calculated from adjusted residuals obtained by lag sequential analysis. Its use has been greatly simplified since the addition of a module in the free software program HOISAN for performing the necessary computations and producing…
Descriptors: Physical Activities, Track and Field, Data Analysis, Males
Rajabi, Enayat; Sanchez-Alonso, Salvador; Sicilia, Miguel-Angel; Manouselis, Nikos – British Journal of Educational Technology, 2017
Exposing eLearning objects on the Web of Data leads to sharing and reusing of educational resources and improves the interoperability of data on the Web. Furthermore, it enriches e-learning content, as it is connected to other valuable resources using the Linked Data principles. This paper describes a study performed on the Organic.Edunet…
Descriptors: Electronic Learning, Databases, Archives, Educational Resources
Weaver, John A.; Snaza, Nathan – Educational Philosophy and Theory, 2017
This essay defines and critiques "methodocentrism", the belief that predetermined research methods are the determining factor in the validity and importance of educational research. By examining research in science studies and posthumanism, the authors explain how this methodocentrism disenables research from taking account of problems…
Descriptors: Educational Research, Research Methodology, Research Problems, Risk
Goodman, Kathleen M.; Turton, Buffy Stoll – New Directions for Student Services, 2017
This chapter provides guidance and encouragement about working with assessment data to improve practice and includes a research primer.
Descriptors: Data, Information Utilization, Information Skills, Information Literacy
Grice, James W.; Yepez, Maria; Wilson, Nicole L.; Shoda, Yuichi – Educational and Psychological Measurement, 2017
An alternative to null hypothesis significance testing is presented and discussed. This approach, referred to as observation-oriented modeling, is centered on model building in an effort to explicate the structures and processes believed to generate a set of observations. In terms of analysis, this novel approach complements traditional methods…
Descriptors: Hypothesis Testing, Models, Observation, Statistical Inference
Fite, Paula J.; Evans, Spencer C.; Pederson, Casey A.; Tampke, Elizabeth C. – Child & Youth Care Forum, 2017
Background: A link between aggression and disciplinary actions has been established; however, specific associations between reactive and proactive functions of aggression and disciplinary actions in the elementary school setting have not been evaluated. A better understanding of links between functions of aggression and disciplinary actions could…
Descriptors: Elementary School Students, Aggression, Discipline, Suspension

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