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Jacob M. Schauer; Larry V. Hedges – Grantee Submission, 2020
In this study, we re-analyze recent empirical research on replication from a meta-analytic perspective. We argue that there are different ways to define "replication failure," and that analyses can focus on exploring variation among replication studies or assess whether their results contradict the findings of the original study. We…
Descriptors: Psychological Studies, Replication (Evaluation), Research Design, Research Methodology
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Qiao, Xin; Jiao, Hong; He, Qiwei – Journal of Educational Measurement, 2023
Multiple group modeling is one of the methods to address the measurement noninvariance issue. Traditional studies on multiple group modeling have mainly focused on item responses. In computer-based assessments, joint modeling of response times and action counts with item responses helps estimate the latent speed and action levels in addition to…
Descriptors: Multivariate Analysis, Models, Item Response Theory, Statistical Distributions
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Lee, Jae Ki; Ban, Sun Young – Journal of Mathematics Education at Teachers College, 2021
Two case studies were conducted to examine whether inquiry-based learning (IBL) can help students in understanding normal distributions, and to determine if IBL methods have any effect on students' conceptual and computational capabilities. There were 16 students in the traditional class and 17 students in the IBL-implemented class who…
Descriptors: Statistics Education, Teaching Methods, Inquiry, Active Learning
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Mark Fredrickson; Ben B. Hansen – Society for Research on Educational Effectiveness, 2021
Context: Assessments of baseline equivalency of intervention and control groups, "balance," play a critical role in evaluating educational interventions. The highest What Works Clearinghouse (WWC) of the Institute of Educational Studies (IES) standard for educational studies, "Meets WWC Design Standards Without Reservations,"…
Descriptors: Educational Research, Experimental Groups, Control Groups, Intervention
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Dorans, Neil J. – ETS Research Report Series, 2018
A distinction is made between scores as measures of a construct and predictions of a criterion or outcome variable. The interpretation attached to predictions of criteria, such as job performance or college grade point average (GPA), differs from that attached to scores that are measures of a construct, such as reading proficiency or knowledge…
Descriptors: Job Performance, Scores, Data Interpretation, Statistical Distributions
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Campolieti, Michele – Sociological Methods & Research, 2019
Using Canadian data from 1976 to 2014, I study the size distribution of strikes with three alternative measures of strike size: the number of workers on strike, strike duration in calendar days, and the number of person calendar days lost to a strike. I use a maximum likelihood framework that provides a way to estimate distributions, evaluate…
Descriptors: Strikes, Foreign Countries, Unions, Collective Bargaining
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Cook, Emily E.; Turner, Sarah – AERA Open, 2019
When students with the capacity to succeed in a 4-year college do not take a college admission test, this represents a potential loss of opportunity for students and colleges alike. However, the costs of testing--both pecuniary and nonpecuniary--may exceed the benefits for students who lack the interest in or qualifications for college attendance.…
Descriptors: College Entrance Examinations, High School Graduates, Aptitude Tests, High Schools
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Kara, Yusuf; Kamata, Akihito – Educational Sciences: Theory and Practice, 2017
A multilevel Rasch model using a hierarchical generalized linear model is one approach to multilevel item response theory (IRT) modeling and is referred to as a one-parameter hierarchical generalized linear logistic model (1-P HGLLM). Although it has the flexibility to model nested structure of data with covariates, the model assumes the normality…
Descriptors: Item Response Theory, Hierarchical Linear Modeling, Statistical Distributions, Computation
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Engledowl, Christopher; Tarr, James E. – International Journal of Education in Mathematics, Science and Technology, 2020
Recent standards reform documents across the globe have called for statistical literacy by the end of high school. Thus, it is important for teachers to develop a deep understanding of the content. Despite the relatively thick literature base connecting students' content knowledge and reasoning, research on these connections among practicing…
Descriptors: Mathematical Logic, Middle School Teachers, Secondary School Teachers, Statistical Distributions
Paul T. von Hippel; Laura Bellows – Annenberg Institute for School Reform at Brown University, 2020
At least sixteen US states have taken steps toward holding teacher preparation programs (TPPs) accountable for teacher value-added to student test scores. Yet it is unclear whether teacher quality differences between TPPs are large enough to make an accountability system worthwhile. Several statistical practices can make differences between TPPs…
Descriptors: Teacher Effectiveness, Teacher Education Programs, Scores, Accountability
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Cronen, Stephanie; Isenberg, Emily – National Center for Education Statistics, 2018
A common approach to describing the credentials required for occupations is to cite whether workers hold an educational degree beyond a high school diploma--that is, whether they hold a postsecondary degree. Using a postsecondary degree as a measure of occupational credentialing, 45 percent of labor force participants (adults who are working or…
Descriptors: Credentials, Academic Degrees, Labor Force, Occupational Surveys
Dorie, Vincent; Hill, Jennifer; Shalit, Uri; Scott, Marc; Cervone, Daniel – Grantee Submission, 2018
Statisticians have made great progress in creating methods that reduce our reliance on parametric assumptions. However this explosion in research has resulted in a breadth of inferential strategies that both create opportunities for more reliable inference as well as complicate the choices that an applied researcher has to make and defend.…
Descriptors: Statistical Inference, Simulation, Causal Models, Research Methodology
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Findley, Kelly; Lyford, Alexander – Statistics Education Research Journal, 2019
Researchers have documented many misconceptions students hold about sampling variability. This study takes a different approach--instead of identifying shortcomings, we consider the productive reasoning pieces students construct as they reason about sampling distributions. We interviewed eight undergraduate students newly enrolled in an…
Descriptors: Statistics, Thinking Skills, Misconceptions, Sampling
Pustejovsky, James E.; Swan, Daniel M.; English, Kyle W. – Grantee Submission, 2019
There has been growing interest in using statistical methods to analyze data and estimate effect size indices from studies that use single-case designs (SCDs), as a complement to traditional visual inspection methods. The validity of a statistical method rests on whether its assumptions are plausible representations of the process by which the…
Descriptors: Measurement Techniques, Statistical Analysis, Data, Outcome Measures
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Rakhat, Berikbol; Kuralay, Bekbolatova; Akmaral, Smanova; Zhanar, Nebessayeva; Miyat, Dzhanaev – World Journal on Educational Technology: Current Issues, 2021
The aim of this study was to determine the examination of the researches about the use of technology by fine arts teachers. The study was conducted according to the content and citation analysis model. In this context, Web of Science (WOS) Core Collection indexes were included. In the document scanning in the WOS environment, the keywords 'Fine…
Descriptors: Foreign Countries, Technology Uses in Education, Art Education, Fine Arts
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