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Casey, Stephanie; Hudson, Rick; Harrison, Taylor; Barker, Heather; Draper, Jordan – Contemporary Issues in Technology and Teacher Education (CITE Journal), 2020
This study examined the characteristics of technology-enhanced statistical tasks written by 75 preservice mathematics teachers who used the ESTEEM project's curriculum materials. In particular, it investigated the extent to which the tasks incorporated three key aspects related to best practices for teaching statistics: (a) analysis of large,…
Descriptors: Preservice Teachers, Technology Integration, Statistics, Mathematics Instruction
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Karadavut, Tugba; Cohen, Allan S.; Kim, Seock-Ho – Measurement: Interdisciplinary Research and Perspectives, 2020
Mixture Rasch (MixRasch) models conventionally assume normal distributions for latent ability. Previous research has shown that the assumption of normality is often unmet in educational and psychological measurement. When normality is assumed, asymmetry in the actual latent ability distribution has been shown to result in extraction of spurious…
Descriptors: Item Response Theory, Ability, Statistical Distributions, Sample Size
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Harrison, Rachel Abigail; Bradshaw, Jill; Forrester-Jones, Rachel; McCarthy, Michelle; Smith, Sharon – Journal of Applied Research in Intellectual Disabilities, 2021
Background: Despite the importance of social networks for health and well-being, relatively little is known about the ways in which adults with intellectual disabilities in the U.K. experience their social networks. Method: A systematic review was completed to identify research focused on the social networks of adults with intellectual…
Descriptors: Social Networks, Intellectual Disability, Adults, Self Concept
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Claire Allen-Platt; Clara-Christina Gerstner; Robert Boruch; Alan Ruby – Society for Research on Educational Effectiveness, 2021
Background/Context: When a researcher tests an educational program, product, or policy in a randomized controlled trial (RCT) and detects a significant effect on an outcome, the intervention is usually classified as something that "works." When the expected effects are not found, however, there is seldom an orderly and transparent…
Descriptors: Educational Assessment, Randomized Controlled Trials, Evidence, Educational Research
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Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
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Bell, Raoul; Röer, Jan P.; Lang, Albert-Georg; Buchner, Axel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Sequences of auditory objects such as one-syllable words or brief sounds disrupt serial recall of visually presented targets even when the auditory objects are completely irrelevant for the task at hand. The "token set size effect" is a label for the claim that disruption increases only when moving from a 1-token distractor sequence…
Descriptors: Recall (Psychology), Auditory Stimuli, Visual Stimuli, Interference (Learning)
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Akcay, Miyase; Karabag, Tugce; Baglama, Basak; Yucesoy, Yucehan – Cypriot Journal of Educational Sciences, 2019
The aim of this research is to examine postgraduate thesis on mainstreaming education carried out in Turkey based on various variables. A total number of 200 postgraduate theses on mainstreaming education was obtained from Higher Education Council of Turkey. Data of the research were examined based on content analysis criteria including year of…
Descriptors: Foreign Countries, Doctoral Students, Doctoral Dissertations, Mainstreaming
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White, Simon R.; Bonnett, Laura J. – Teaching Statistics: An International Journal for Teachers, 2019
The statistical concept of sampling is often given little direct attention, typically reduced to the mantra "take a random sample". This low resource and adaptable activity demonstrates sampling and explores issues that arise due to biased sampling.
Descriptors: Statistical Bias, Sampling, Statistical Analysis, Learning Activities
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Harwell, Michael – Journal of Experimental Education, 2019
Measures of socioeconomic status (SES) are widely used in educational research and policy applications in no small part because of a deeply rooted belief of the importance of SES. This paper argues that the usefulness of common SES measures can be undermined by (a) an atheoretical approach to conceptualizing SES and selecting measures, which…
Descriptors: Socioeconomic Status, Measures (Individuals), Testing Problems, Educational Research
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Walters, Glenn D. – International Journal of Social Research Methodology, 2019
Identifying mediators in variable chains as part of a causal mediation analysis can shed light on issues of causation, assessment, and intervention. However, coefficients and effect sizes in a causal mediation analysis are nearly always small. This can lead those less familiar with the approach to reject the results of causal mediation analysis.…
Descriptors: Effect Size, Statistical Analysis, Sampling, Statistical Inference
McNeish, Daniel; Harring, Jeffrey – Grantee Submission, 2019
Growth mixture models (GMMs) are prevalent for modeling unknown population heterogeneity via distinct latent classes. However, GMMs are riddled with convergence issues, often requiring researchers to atheoretically alter the model with cross-class constraints to obtain convergence. We discuss how within-class random effects in GMMs exacerbate…
Descriptors: Structural Equation Models, Classification, Computation, Statistical Analysis
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), benefitting from item preknowledge is one of the three broad types of test fraud that occur in educational assessments. We use tools from constrained statistical inference to suggest a new statistic that is based on item scores and response times and can be used to detect the examinees who may have…
Descriptors: Scores, Test Items, Reaction Time, Cheating
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Lee, Younghee Cheri; Jwa, Soomin – English Teaching, 2023
In recent years, an array of studies has focused on 'translationese' (i.e., unique features that manifest in translated texts, causing second language (L2) writings to be similar to translated texts but different from native language (L1) writings). This intriguing linguistic pattern has motivated scholars to investigate potential markers for…
Descriptors: Translation, Second Language Learning, Journal Articles, Documentation
Jinyong Hahn; John D. Singleton; Nese Yildiz – Annenberg Institute for School Reform at Brown University, 2023
Panel or grouped data are often used to allow for unobserved individual heterogeneity in econometric models via fixed effects. In this paper, we discuss identification of a panel data model in which the unobserved heterogeneity both enters additively and interacts with treatment variables. We present identification and estimation methods for…
Descriptors: Teacher Effectiveness, Models, Computation, Statistical Analysis
Doran, Elizabeth; Li, Ann; Aikens, Nikki; Dang, Myley; Kopack Klein, Ashley; Reid, Natalie; Scott, Myah; Rakibullah, Sharika; Cannon, Judy; Harrington, Jeff; Larson, Addison; Bernstein, Sara; Tarullo, Louisa; Malone, Lizabeth – Office of Planning, Research and Evaluation, 2022
Head Start is a national program that helps young children from families with low incomes get ready to succeed in school. It does this by working to promote their early learning and health and their families' well-being. The Head Start Family and Child Experiences Survey (FACES) provides national information about Head Start programs and…
Descriptors: Social Services, Low Income Students, Federal Programs, Family Relationship
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