Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Grade 5 | 2 |
Hierarchical Linear Modeling | 2 |
Item Response Theory | 2 |
Measurement | 2 |
Bias | 1 |
Comparative Analysis | 1 |
Computation | 1 |
Elementary School Teachers | 1 |
Evaluation Methods | 1 |
Foreign Countries | 1 |
Grade 4 | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Elementary Education | 2 |
Grade 5 | 2 |
Intermediate Grades | 2 |
Middle Schools | 2 |
Early Childhood Education | 1 |
Grade 4 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Primary Education | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
Murphy, Daniel L.; Beretvas, S. Natasha – Applied Measurement in Education, 2015
This study examines the use of cross-classified random effects models (CCrem) and cross-classified multiple membership random effects models (CCMMrem) to model rater bias and estimate teacher effectiveness. Effect estimates are compared using CTT versus item response theory (IRT) scaling methods and three models (i.e., conventional multilevel…
Descriptors: Teacher Effectiveness, Comparative Analysis, Hierarchical Linear Modeling, Test Theory