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) | 6 |
Descriptor
Grade 7 | 6 |
Monte Carlo Methods | 6 |
Grade 6 | 4 |
Computation | 3 |
Grade 5 | 3 |
Grade 8 | 3 |
Markov Processes | 3 |
Statistical Analysis | 3 |
Comparative Analysis | 2 |
Grade 4 | 2 |
Item Response Theory | 2 |
More ▼ |
Source
Applied Measurement in… | 1 |
Educational and Psychological… | 1 |
Grantee Submission | 1 |
Multivariate Behavioral… | 1 |
National Center for Research… | 1 |
ProQuest LLC | 1 |
Author
Beretvas, S. Natasha | 1 |
Bottge, Brian | 1 |
Cohen, Allan | 1 |
Enders, Craig K. | 1 |
Gottschall, Amanda C. | 1 |
Levy, Roy | 1 |
Li, Feiming | 1 |
Lockwood, J. R. | 1 |
McCaffrey, Daniel F. | 1 |
Murphy, Daniel L. | 1 |
Templin, Jonathan | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Research | 3 |
Reports - Descriptive | 2 |
Dissertations/Theses -… | 1 |
Education Level
Grade 7 | 6 |
Elementary Education | 5 |
Junior High Schools | 5 |
Middle Schools | 5 |
Secondary Education | 5 |
Grade 6 | 4 |
Intermediate Grades | 4 |
Grade 5 | 3 |
Grade 8 | 3 |
Grade 4 | 2 |
Early Childhood Education | 1 |
More ▼ |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Li, Feiming; Cohen, Allan; Bottge, Brian; Templin, Jonathan – Educational and Psychological Measurement, 2016
Latent transition analysis (LTA) was initially developed to provide a means of measuring change in dynamic latent variables. In this article, we illustrate the use of a cognitive diagnostic model, the DINA model, as the measurement model in a LTA, thereby demonstrating a means of analyzing change in cognitive skills over time. An example is…
Descriptors: Statistical Analysis, Change, Thinking Skills, Measurement
Lockwood, J. R.; McCaffrey, Daniel F. – Grantee Submission, 2015
Regression, weighting and related approaches to estimating a population mean from a sample with nonrandom missing data often rely on the assumption that conditional on covariates, observed samples can be treated as random. Standard methods using this assumption generally will fail to yield consistent estimators when covariates are measured with…
Descriptors: Simulation, Computation, Statistical Analysis, Statistical Bias
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
Yin, Liqun – ProQuest LLC, 2013
In recent years, many states have adopted Item Response Theory (IRT) based vertically scaled tests due to their compelling features in a growth-based accountability context. However, selection of a practical and effective calibration/scaling method and proper understanding of issues with possible multidimensionality in the test data is critical to…
Descriptors: Item Response Theory, Scaling, Robustness (Statistics), Monte Carlo Methods
Levy, Roy – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. A Bayesian approach to model construction, calibration, and use in…
Descriptors: Video Games, Educational Games, Bayesian Statistics, Observation
Gottschall, Amanda C.; West, Stephen G.; Enders, Craig K. – Multivariate Behavioral Research, 2012
Behavioral science researchers routinely use scale scores that sum or average a set of questionnaire items to address their substantive questions. A researcher applying multiple imputation to incomplete questionnaire data can either impute the incomplete items prior to computing scale scores or impute the scale scores directly from other scale…
Descriptors: Questionnaires, Data Analysis, Computation, Monte Carlo Methods