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Hayes, Timothy – Journal of Educational and Behavioral Statistics, 2019
Multiple imputation is a popular method for addressing data that are presumed to be missing at random. To obtain accurate results, one's imputation model must be congenial to (appropriate for) one's intended analysis model. This article reviews and demonstrates two recent software packages, Blimp and jomo, to multiply impute data in a manner…
Descriptors: Computer Software Evaluation, Computer Software Reviews, Hierarchical Linear Modeling, Data Analysis
Estes, Austin; McCain, Brianna – State Education Standard, 2019
An evolution has taken place in Career and technical education (CTE) over the past few decades. CTE students often go on to graduate high school, enroll in college, and secure high-wage employment at higher rates than their peers. Every learner should have the opportunity to benefit from CTE, but even today many students cannot access these high…
Descriptors: Equal Education, Vocational Education, Data Use, Family Involvement
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
Oliveira, F. S.; Calheiro, L. B.; Bozano, D. F.; Errobidart, N. C. G.; Jardim, M. I. A.; Reis, D. D.; Goncalves, A. M. B. – Physics Education, 2019
We present an Arduino approach to collect pressure and temperature data from electronic sensors. Using a constant volume-metal-vessel immersed in a water bath and changing its temperature, we measure the pressure as a function of the temperature inside the vessel. With this apparatus, it is possible to demonstrate Gay-Lussac's law. Based on…
Descriptors: Physics, Science Instruction, Data Collection, Measurement Equipment
Setiawan, Risky – European Journal of Educational Research, 2019
The purposes of this research are: 1) to compare two equalizing tests conducted with Hebara and Stocking Lord method; 2) to describe the characteristics of each equalizing test method using windows' IRTEQ program. This research employs a participatory approach as the data are collected through questionnaires based on the National Examination…
Descriptors: Equated Scores, Evaluation Methods, Evaluation Criteria, Test Items
Sozen-Ozdogan, Sinem; Akyuz, Didem; Stephan, Michelle – Australian Mathematics Education Journal, 2019
The mathematics standards for many countries include teaching and learning ratios, typically with efficient algorithms and strategies (Australian Curriculum: Mathematics, Assessment and Reporting Authority, 2017; National Council of Teachers of Mathematics, 2014). In the 1990s, Cramer and Post (1993) claimed that school mathematics mostly involves…
Descriptors: Mathematics Instruction, Mathematical Concepts, Teaching Methods, Problem Solving
Angelone, Lauren – Mid-Western Educational Researcher, 2019
The purpose of this paper is methodological. It serves as a defense of virtual ethnography as a method, not only well suited to postpositivist research, but as a tool to further interrogate the tenuous truth that all research produces. To accomplish this, virtual ethnography is situated within the history of qualitative inquiry and then examined…
Descriptors: Virtual Classrooms, Ethnography, Teaching Methods, Internet
Tajmel, Tanja – Cultural Studies of Science Education, 2019
With the present forum contribution, I respond to the paper "Discerning contextual complexities in STEM career pathways--Insights from successful Latinas" by Alejandro Gallard Martínez, Wesley Pitts, Silvia Lizette Ramos de Robles, Katie L. Milton Brkich, Belinda Flores Bustos, and Lorena Claeys. I aim to augment the thoughts of Gallard…
Descriptors: STEM Education, Science Careers, Educational Research, Figurative Language
Shum, Simon J. Buckingham – Journal of Learning Analytics, 2019
This editorial introduces a special section of the "Journal of Learning Analytics," for which Neil Selwyn's keynote address to LAK '18 has been written up as an article, "What's the problem with learning analytics?" His claims and arguments are engaged in commentaries from Alfred Essa, Rebecca Ferguson, Paul Prinsloo, and…
Descriptors: Data Analysis, Speeches, Conferences (Gatherings), Problems
Lampiselkä, Jarkko; Kaasinen, Arja; Kinnunen, Päivi; Malmi, Lauri – Education Sciences, 2019
This study provides an overview of the didactic focus areas in educational research in biology, chemistry and physics, seeking to identify the focus areas that are investigated frequently and those that have been studied rarely or not at all. We applied the didactic focus-based categorization analysis method (DFCM), which is based on an extension…
Descriptors: Science Education, Educational Research, Biology, Chemistry
Wind, Stefanie A.; Jones, Eli – Journal of Educational Measurement, 2019
Researchers have explored a variety of topics related to identifying and distinguishing among specific types of rater effects, as well as the implications of different types of incomplete data collection designs for rater-mediated assessments. In this study, we used simulated data to examine the sensitivity of latent trait model indicators of…
Descriptors: Rating Scales, Models, Evaluators, Data Collection
Gorard, Stephen – International Journal of Social Research Methodology, 2019
This paper compares the use of confidence intervals (CIs) and a sensitivity analysis called the number needed to disturb (NNTD), in the analysis of research findings expressed as 'effect' sizes. Using 1,000 simulations of randomised trials with up to 1,000 cases in each, the paper shows that both approaches are very similar in outcomes, and each…
Descriptors: Intervals, Statistics, Social Sciences, Foreign Countries
Young, Jay R.; Davies, Randall S.; Jenkins, Jeffrey L.; Pfleger, Isaac – Computers in the Schools, 2019
This study examined the potential use of keystroke dynamics to create keyprints (typing fingerprints) to authenticate individuals in online courses. Previous studies have determined that keystroke typing patterns are unique; in addition to replicating these findings, this study explored best practices for implementing keyprint signatures in…
Descriptors: Identification, Keyboarding (Data Entry), Users (Information), Online Courses
Phillips, Tina B.; Ballard, Heidi L.; Lewenstein, Bruce V.; Bonney, Rick – Science Education, 2019
To date, most studies of citizen science engagement focus on quantifiable measures related to the contribution of data or other output measures. Few studies have attempted to qualitatively characterize citizen science engagement across multiple projects and from the perspective of the participants. Building on pertinent literature and…
Descriptors: Citizen Participation, Scientific Research, Data Collection, Science Projects
Torre, Jimmy de la; Akbay, Lokman – Eurasian Journal of Educational Research, 2019
Purpose: Well-designed assessment methodologies and various cognitive diagnosis models (CDMs) to extract diagnostic information about examinees' individual strengths and weaknesses have been developed. Due to this novelty, as well as educational specialists' lack of familiarity with CDMs, their applications are not widespread. This article aims at…
Descriptors: Cognitive Measurement, Models, Computer Software, Testing