Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 6 |
Descriptor
| Accuracy | 6 |
| Statistical Distributions | 6 |
| Computation | 3 |
| Bayesian Statistics | 2 |
| Diagnostic Tests | 2 |
| Evaluation Methods | 2 |
| Simulation | 2 |
| Barriers | 1 |
| Cognitive Processes | 1 |
| Cutting Scores | 1 |
| Data | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 2 |
| Educational Evaluation and… | 1 |
| Educational Studies in… | 1 |
| Grantee Submission | 1 |
| Structural Equation Modeling:… | 1 |
Author
| Annika Hoyer | 1 |
| Arthur Bakker | 1 |
| Augustin Kelava | 1 |
| Claudia Tschammler | 1 |
| Dongho Shin | 1 |
| Ferdinand Valentin Stoye | 1 |
| Frömke, Cornelia | 1 |
| Kirstein, Mathia | 1 |
| Lonneke Boels | 1 |
| Lukas Fischer | 1 |
| Michael Nagel | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 3 |
| Dissertations/Theses -… | 1 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
Education Level
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Paul T. von Hippel – Educational Evaluation and Policy Analysis, 2025
Educational researchers often report effect sizes in standard deviation units (SD), but SD effects are hard to interpret. Effects are easier to interpret in percentile points, but converting SDs to percentile points involves a calculation that is not transparent to educational stakeholders. We show that if the outcome variable is normally…
Descriptors: Effect Size, Computation, Mathematical Concepts, Statistical Distributions
Michael Nagel; Lukas Fischer; Tim Pawlowski; Augustin Kelava – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichlet-horseshoe, a new prior distribution that combines and expands on the concepts of the regularized horseshoe and the Dirichlet-Laplace priors, is a…
Descriptors: Bayesian Statistics, Regression (Statistics), Computation, Statistical Distributions
Ferdinand Valentin Stoye; Claudia Tschammler; Oliver Kuss; Annika Hoyer – Research Synthesis Methods, 2024
The development of new statistical models for the meta-analysis of diagnostic test accuracy studies is still an ongoing field of research, especially with respect to summary receiver operating characteristic (ROC) curves. In the recently published updated version of the "Cochrane Handbook for Systematic Reviews of Diagnostic Test…
Descriptors: Diagnostic Tests, Accuracy, Barriers, Models
Frömke, Cornelia; Kirstein, Mathia; Zapf, Antonia – Research Synthesis Methods, 2022
The accuracy of a diagnostic test is often expressed using a pair of measures: sensitivity (proportion of test positives among all individuals with target condition) and specificity (proportion of test negatives among all individuals without target condition). If the outcome of a diagnostic test is binary, results from different studies can easily…
Descriptors: Accuracy, Diagnostic Tests, Meta Analysis, Statistical Analysis
Lonneke Boels; Arthur Bakker; Wim Van Dooren; Paul Drijvers – Educational Studies in Mathematics, 2025
Many students persistently misinterpret histograms. This calls for closer inspection of students' strategies when interpreting histograms and case-value plots (which look similar but are different). Using students' gaze data, we ask: "How and how well do upper secondary pre-university school students estimate and compare arithmetic means of…
Descriptors: Secondary School Students, Learning Strategies, Data Interpretation, Graphs
Peer reviewedDongho Shin – Grantee Submission, 2024
We consider Bayesian estimation of a hierarchical linear model (HLM) from small sample sizes. The continuous response Y and covariates C are partially observed and assumed missing at random. With C having linear effects, the HLM may be efficiently estimated by available methods. When C includes cluster-level covariates having interactive or other…
Descriptors: Bayesian Statistics, Computation, Hierarchical Linear Modeling, Data Analysis

Direct link
