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Ding, Peng; Van der Weele, Tyler; Robins, James M. – Grantee Submission, 2017
Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is unconfounded conditional on the observed covariates. It is often believed that the more covariates we condition on, the more plausible this…
Descriptors: Causal Models, Inferences, Outcomes of Treatment, Interaction
Muhammad Hasan Imam; Imran Ali Tasadduq; Abdul-Rahim Ahmad; Fahd Aldosari – EURASIA Journal of Mathematics, Science & Technology Education, 2017
One of the approaches for obtaining the satisfaction data for ABET "Student Outcomes" (SOs) is to transform Course Learning Outcomes (CLOs) satisfaction data obtained through assessment of CLOs to SO satisfaction data. Considering the fuzzy nature of metrics of CLOs and SOs, a Fuzzy Logic algorithm has been proposed to extract SO…
Descriptors: Student Satisfaction, Outcomes of Education, Accreditation (Institutions), Mathematics
Burke, Danielle L.; Ensor, Joie; Snell, Kym I. E.; van der Windt, Danielle; Riley, Richard D. – Research Synthesis Methods, 2018
Percentage study weights in meta-analysis reveal the contribution of each study toward the overall summary results and are especially important when some studies are considered outliers or at high risk of bias. In meta-analyses of test accuracy reviews, such as a bivariate meta-analysis of sensitivity and specificity, the percentage study weights…
Descriptors: Meta Analysis, Research Reports, Statistical Analysis, Sample Size
Komboz, Basil; Strobl, Carolin; Zeileis, Achim – Educational and Psychological Measurement, 2018
Psychometric measurement models are only valid if measurement invariance holds between test takers of different groups. Global model tests, such as the well-established likelihood ratio (LR) test, are sensitive to violations of measurement invariance, such as differential item functioning and differential step functioning. However, these…
Descriptors: Item Response Theory, Models, Tests, Measurement
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
Zhang, Liang-Cheng; Worthington, Andrew C. – Research in Higher Education, 2018
Numerous studies have investigated economies of scale and scope in higher education as a means of providing public and private providers of college and university teaching, research and other services and their stakeholders with knowledge of the cost structures that underpin provision in this economically and socially important sector. However,…
Descriptors: Economics, Higher Education, Meta Analysis, Regression (Statistics)
McNeish, Daniel – Journal of Experimental Education, 2018
Some IRT models can be equivalently modeled in alternative frameworks such as logistic regression. Logistic regression can also model time-to-event data, which concerns the probability of an event occurring over time. Using the relation between time-to-event models and logistic regression and the relation between logistic regression and IRT, this…
Descriptors: Measures (Individuals), Nonparametric Statistics, Item Response Theory, Regression (Statistics)
Minkin, Leonard; Sikes, Daniel – Physics Education, 2018
A novel method of measuring the coefficients of kinetic and rolling friction is proposed. The method is simple to implement and reliable. Samples of measurements and calculations are presented.
Descriptors: Science Instruction, Kinetics, Physics, Motion
Quinnell, Lorna – Australian Primary Mathematics Classroom, 2018
Successful mathematical problem-solving relies on choices about how best to represent and solve problems. In this article, a range of methods and strategies are presented for solving a single mathematical problem, including novel methods posed by in-service teachers at one Australian university. The variety of problem-solving strategies rely on…
Descriptors: Problem Solving, Selection, Mathematics, Methods
Gough, John – Australian Primary Mathematics Classroom, 2018
In fact, ever since Seymour Papert (famous in his later years for constructionism, a learning theory that married conceptual constructivism with concrete experience) created Logo programming, many schools have been coding using Logo, the educational computer programming software that has the famous 'turtle' on the computer screen. Importantly,…
Descriptors: Coding, Programming, Programming Languages, Computer Software
Price, C. B.; Price-Mohr, R. M. – Computers in the Schools, 2018
All primary school children in England are required to write computer programs and learn about computational thinking. There are moves in other countries to this effect such as the U.S. K-12 Computer Science Framework (CSF) for development. Debates on how to program and what constitutes computational thinking are ongoing. Here we report on a study…
Descriptors: Foreign Countries, Elementary School Students, Programming, Coding
Lockwood, James; Mooney, Aidan – International Journal of Computer Science Education in Schools, 2018
Computational Thinking has been described as an essential skill which everyone should learn and can therefore include in their skill set. Seymour Papert (Papert, 1980) is credited as concretising Computational Thinking in 1980 but Jeanette Wing (Wing, 2006) popularised the term in 2006 and brought it to the international community's attention.…
Descriptors: Computation, Thinking Skills, Logical Thinking, Secondary Education
Posid, Tasha; Cordes, Sara – Developmental Psychology, 2018
While much research has focused on understanding the process by which young children learn to count, little work has explored the effects of direct instruction on this process. In the current study, we explored the impacts of training children in an explicit counting procedure on two distinct cardinality tasks. Two- to 5-year-old children first…
Descriptors: Computation, Direct Instruction, Young Children, Instructional Effectiveness
Teaching Graphical Simulations of Fourier Series Expansion of Some Periodic Waves Using Spreadsheets
Singh, Iqbal; Kaur, Bikramjeet – Physics Education, 2018
The present article demonstrates a way of programming using an Excel spreadsheet to teach Fourier series expansion in school/colleges without the knowledge of any typical programming language. By using this, a student learns to approximate partial sum of the n terms of Fourier series for some periodic signals such as square wave, saw tooth wave,…
Descriptors: Physics, Science Instruction, Teaching Methods, Scientific Concepts
Sinharay, Sandip – Journal of Educational and Behavioral Statistics, 2018
Wollack, Cohen, and Eckerly suggested the "erasure detection index" (EDI) to detect fraudulent erasures for individual examinees. Wollack and Eckerly extended the EDI to detect fraudulent erasures at the group level. The EDI at the group level was found to be slightly conservative. This article suggests two modifications of the EDI for…
Descriptors: Deception, Identification, Testing Problems, Cheating