Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 4 |
Since 2016 (last 10 years) | 6 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Journal of Educational and… | 4 |
International Journal of… | 1 |
Research in Mathematics… | 1 |
Society for Research on… | 1 |
Sociological Methods &… | 1 |
Statistics Education Research… | 1 |
Author
Dalal, Siddhartha R. | 1 |
Daniel Kasper | 1 |
Garland, Marshall | 1 |
Han, Bing | 1 |
Hein, Serge F. | 1 |
Jin, Hui | 1 |
Katrin Schulz-Heidorf | 1 |
Kazak, Sibel | 1 |
Kim, Jee-Seon | 1 |
Kistner, Alexandra Manzella | 1 |
Knut Schwippert | 1 |
More ▼ |
Publication Type
Journal Articles | 8 |
Reports - Research | 7 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Elementary Secondary Education | 9 |
Elementary Education | 2 |
Secondary Education | 2 |
Grade 4 | 1 |
Grade 8 | 1 |
Intermediate Grades | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Location
New York | 1 |
New Zealand | 1 |
Pennsylvania | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Trends in International… | 4 |
Progress in International… | 1 |
What Works Clearinghouse Rating
Daniel Kasper; Katrin Schulz-Heidorf; Knut Schwippert – Sociological Methods & Research, 2024
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…
Descriptors: Models, Achievement Tests, Foreign Countries, International Assessment
Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
Yamaguchi, Kazuhiro – Journal of Educational and Behavioral Statistics, 2023
Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…
Descriptors: Bayesian Statistics, Classification, Statistical Inference, Sampling
Kazak, Sibel; Pratt, Dave – Research in Mathematics Education, 2021
We examine the challenges of teaching probability through the use of modelling. We argue how an integrated modelling approach might facilitate a coordinated understanding of distribution by marrying theoretical and data-oriented perspectives and present probability as more connected to the social lives of modern-day students. Research is, however,…
Descriptors: Teaching Methods, Mathematics Instruction, Faculty Development, Probability
Skaggs, Gary; Wilkins, Jesse L. M.; Hein, Serge F. – International Journal of Testing, 2016
The purpose of this study was to explore the degree of grain size of the attributes and the sample sizes that can support accurate parameter recovery with the General Diagnostic Model (GDM) for a large-scale international assessment. In this resampling study, bootstrap samples were obtained from the 2003 Grade 8 TIMSS in Mathematics at varying…
Descriptors: Achievement Tests, Foreign Countries, Elementary Secondary Education, Science Achievement
Manzeske, David; Garland, Marshall; Williams, Ryan; West, Benjamin; Kistner, Alexandra Manzella; Rapaport, Amie – Society for Research on Educational Effectiveness, 2016
High-performing teachers tend to seek out positions at more affluent or academically challenging schools, which tend to hire more experienced, effective educators. Consequently, low-income and minority students are more likely to attend schools with less experienced and less effective educators (see, for example, DeMonte & Hanna, 2014; Office…
Descriptors: Merit Pay, Teacher Effectiveness, Academic Achievement, Accuracy
Han, Bing; Dalal, Siddhartha R.; McCaffrey, Daniel F. – Journal of Educational and Behavioral Statistics, 2012
There is widespread interest in using various statistical inference tools as a part of the evaluations for individual teachers and schools. Evaluation systems typically involve classifying hundreds or even thousands of teachers or schools according to their estimated performance. Many current evaluations are largely based on individual estimates…
Descriptors: Statistical Inference, Error of Measurement, Classification, Statistical Analysis
Jin, Hui; Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2009
An approach to handle partial compliance behavior using principal stratification is presented and applied to a subset of the longitudinal data from the New York City School Choice Scholarship Program, a randomized experiment designed to assess the effects of private schools versus public schools on academic achievement. The initial analysis…
Descriptors: Statistical Inference, Causal Models, Longitudinal Studies, Public Schools
Pfannkuch, Maxine – Statistics Education Research Journal, 2006
Drawing conclusions from the comparison of datasets using informal statistical inference is a challenging task since the nature and type of reasoning expected is not fully understood. In this paper a secondary teacher's reasoning from the comparison of box plot distributions during the teaching of a Year 11 (15-year-old) class is analyzed. From…
Descriptors: Educational Practices, Statistical Inference, Teaching Methods, Secondary School Teachers