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Walford, Geoffrey – Ethnography and Education, 2020
This article looks back at several of the classic ethnographies in British sociology of education and shows that quantitative work played a significant part in many of them, and that quantitative results were part of the evidence used to support claims and arguments put forward by the authors. The article then examines some more recent…
Descriptors: Foreign Countries, Ethnography, Educational Sociology, Qualitative Research
Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
Sales, Adam C.; Pane, John F. – International Educational Data Mining Society, 2020
The design of the Cognitive Tutor Algebra I (CTA1) intelligent tutoring system assumes that students work through sections of material following a pre-specified order, and only move on from one section to the next after mastering the first section's skills. However, the software gives teachers the flexibility to override that structure, by…
Descriptors: Student Placement, Intelligent Tutoring Systems, Algebra, Mathematics Instruction
López-López, José A.; Page, Matthew J.; Lipsey, Mark W.; Higgins, Julian P. T. – Research Synthesis Methods, 2018
Systematic reviews often encounter primary studies that report multiple effect sizes based on data from the same participants. These have the potential to introduce statistical dependency into the meta-analytic data set. In this paper, we provide a tutorial on dealing with effect size multiplicity within studies in the context of meta-analyses of…
Descriptors: Effect Size, Literature Reviews, Meta Analysis, Research Methodology
Raykov, Tenko; Dimitrov, Dimiter M.; Marcoulides, George A.; Li, Tatyana; Menold, Natalja – Educational and Psychological Measurement, 2018
A latent variable modeling method for studying measurement invariance when evaluating latent constructs with multiple binary or binary scored items with no guessing is outlined. The approach extends the continuous indicator procedure described by Raykov and colleagues, utilizes similarly the false discovery rate approach to multiple testing, and…
Descriptors: Models, Statistical Analysis, Error of Measurement, Test Bias
Landmann, Helen; Hess, Ursula – Journal of Moral Education, 2018
Moral foundation theory posits that specific moral transgressions elicit specific moral emotions. To test this claim, participants (N = 195) were asked to rate their emotions in response to moral violation vignettes. We found that compassion and disgust were associated with care and purity respectively as predicted by moral foundation theory.…
Descriptors: Moral Values, Emotional Response, Psychological Patterns, Foreign Countries
Coertjens, Liesje – British Journal of Educational Psychology, 2018
Aim: The main aim of this commentary was to connect the insights from the contributions of the special issue on the intersection between depth and the regulation of strategy use. The seven contributions in this special issue stem from three perspectives: self-regulated learning (SRL), model of domain learning (MDL), or the student approaches to…
Descriptors: Cognitive Processes, Metacognition, Learning Strategies, Independent Study
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
Taylor, Joseph A.; Kowalski, Susan M.; Polanin, Joshua R.; Askinas, Karen; Stuhlsatz, Molly A. M.; Wilson, Christopher D.; Tipton, Elizabeth; Wilson, Sandra Jo – AERA Open, 2018
A priori power analyses allow researchers to estimate the number of participants needed to detect the effects of an intervention. However, power analyses are only as valid as the parameter estimates used. One such parameter, the expected effect size, can vary greatly depending on several study characteristics, including the nature of the…
Descriptors: Science Education, Statistical Analysis, Effect Size, Intervention
Wass, Sam V.; de Barbaro, Kaya; Clackson, Kaili; Leong, Victoria – Developmental Psychology, 2018
Previous research is inconsistent as to whether a more labile (faster-changing) autonomic system confers performance advantages, or disadvantages, in infants and children. To examine this, we presented a stimulus battery consisting of mixed static and dynamic viewing materials to a cohort of 63 typical 12-month-old infants. While viewing the…
Descriptors: Infants, Attention, Anxiety, Attention Span
Doneva, Rositsa; Gaftandzhieva, Siliva; Totkov, George – Turkish Online Journal of Distance Education, 2018
This paper presents a study on known approaches for quality assurance of educational test and test items. On its basis a comprehensive approach to the quality assurance of online educational testing is proposed to address the needs of all stakeholders (authors of online tests, teachers, students, experts, quality managers, etc.). According to the…
Descriptors: Educational Testing, Automation, Quality Assurance, Computer Assisted Testing
Saux, Gaston; Ros, Christine; Britt, M. Anne; Stadtler, Marc; Burin, Debora I.; Rouet, Jean-François – Discourse Processes: A Multidisciplinary Journal, 2018
In two experiments, undergraduate students read short texts containing two embedded sources that could either agree or disagree with each other. Participants' memory for the sources' identity (i.e., occupation) and features (i.e., the source's access to knowledge and the source's physical appearance) was examined as a function of the consistency…
Descriptors: Recall (Psychology), Reading, Undergraduate Students, Information Sources
Nestler, Steffen – Journal of Educational and Behavioral Statistics, 2018
The social relations model (SRM) is a mathematical model that can be used to analyze interpersonal judgment and behavior data. Typically, the SRM is applied to one (i.e., univariate SRM) or two variables (i.e., bivariate SRM), and parameter estimates are obtained by employing an analysis of variance method. Here, we present an extension of the SRM…
Descriptors: Mathematical Models, Interpersonal Relationship, Maximum Likelihood Statistics, Computation
Mittleman, Joel – Sociology of Education, 2018
There is growing concern that suspensions trigger a "downward spiral," redirecting children's trajectories away from school success and toward police contact. The current study tests this possibility, analyzing whether and in what ways childhood suspensions increase children's risk for juvenile arrests. Combining 15 years of data from…
Descriptors: Suspension, Juvenile Justice, Crime, Risk
Docherty, Meagan; Gullan, Rebecca Lakin; Phillips, Russell E., III – Journal of College Student Development, 2018
Attending college is a common experience in the United States, with about 7.1 million students projected to enroll in public 4-year colleges and universities in Fall 2018, and institutions expecting to award 1.9 million bachelor's degrees for the 2018-2019 academic year. Because college represents a significant investment of money and time and…
Descriptors: Factor Structure, Mentors, College Students, Factor Analysis

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