Found: 34
Select item for more details and to access through your institution.
Combining machine translation and automated scoring in international large-scale assessments.
- Published in:
- Large-scale Assessments in Education, 2024, v. 12, n. 1, p. 1, doi. 10.1186/s40536-024-00199-7
- By:
- Publication type:
- Article
The use of process data in large-scale assessments: a literature review.
- Published in:
- Large-scale Assessments in Education, 2024, v. 12, n. 1, p. 1, doi. 10.1186/s40536-024-00202-1
- By:
- Publication type:
- Article
The use of test scores from large-scale assessment surveys: psychometric and statistical considerations.
- Published in:
- Large-scale Assessments in Education, 2017, v. 5, n. 1, p. 1, doi. 10.1186/s40536-017-0050-x
- By:
- Publication type:
- Article
International Large-Scale Assessment Data: Issues in Secondary Analysis and Reporting.
- Published in:
- Educational Researcher, 2010, v. 39, n. 2, p. 142, doi. 10.3102/0013189X10363170
- By:
- Publication type:
- Article
A Note on Construct Validity of the Anchoring Method in PISA 2012.
- Published in:
- Journal of Psychoeducational Assessment, 2018, v. 25, n. 3, p. 709, doi. 10.1177/0734282917702270
- By:
- Publication type:
- Article
Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI.
- Published in:
- Educational Measurement: Issues & Practice, 2024, v. 43, n. 2, p. 16, doi. 10.1111/emip.12602
- By:
- Publication type:
- Article
Developing a Machine‐Supported Coding System for Constructed‐Response Items in PISA.
- Published in:
- ETS Research Reports Series, 2017, v. 2017, n. 1, p. 1, doi. 10.1002/ets2.12169
- By:
- Publication type:
- Article
High-Performance Psychometrics: The Parallel-E Parallel-M Algorithm for Generalized Latent Variable Models.
- Published in:
- ETS Research Reports Series, 2016, v. 2016, n. 2, p. 1, doi. 10.1002/ets2.12120
- By:
- Publication type:
- Article
The Prediction of Labor Force Status: Implications From International Adult Skill Assessments.
- Published in:
- ETS Research Reports Series, 2016, v. 2016, n. 1, p. 1, doi. 10.1002/ets2.12097
- By:
- Publication type:
- Article
Comparing Data Treatments on Item-Level Nonresponse and Their Effects on Data Analysis of Large-Scale Assessments: 2009 PISA Study.
- Published in:
- ETS Research Reports Series, 2015, v. 2015, n. 1, p. 1, doi. 10.1002/ets2.12059
- By:
- Publication type:
- Article
The Log-Linear Cognitive Diagnostic Model ( LCDM) as a Special Case of the General Diagnostic Model ( GDM).
- Published in:
- ETS Research Reports Series, 2014, v. 2014, n. 2, p. 1, doi. 10.1002/ets2.12043
- By:
- Publication type:
- Article
Using Response Times for Joint Modeling of Careless Responding and Attentive Response Styles.
- Published in:
- Journal of Educational & Behavioral Statistics, 2024, v. 49, n. 2, p. 173, doi. 10.3102/10769986231173607
- By:
- Publication type:
- Article
Conditional Subscore Reporting Using Iterated Discrete Convolutions.
- Published in:
- Journal of Educational & Behavioral Statistics, 2020, v. 45, n. 5, p. 515, doi. 10.3102/1076998620911933
- By:
- Publication type:
- Article
Developments in Psychometric Population Models for Technology-Based Large-Scale Assessments: An Overview of Challenges and Opportunities.
- Published in:
- Journal of Educational & Behavioral Statistics, 2019, v. 44, n. 6, p. 671, doi. 10.3102/1076998619881789
- By:
- Publication type:
- Article
A Third-Order Item Response Theory Model for Modeling the Effects of Domains and Subdomains in Large-Scale Educational Assessment Surveys.
- Published in:
- Journal of Educational & Behavioral Statistics, 2014, v. 39, n. 4, p. 235, doi. 10.3102/1076998614531045
- By:
- Publication type:
- Article
Stochastic Approximation Methods for Latent Regression Item Response Models.
- Published in:
- Journal of Educational & Behavioral Statistics, 2010, v. 35, n. 2, p. 174, doi. 10.3102/1076998609346970
- By:
- Publication type:
- Article
An Importance Sampling EM Algorithm for Latent Regression Models.
- Published in:
- Journal of Educational & Behavioral Statistics, 2007, v. 32, n. 3, p. 233, doi. 10.3102/1076998607300422
- By:
- Publication type:
- Article
Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests.
- Published in:
- Frontiers in Psychology, 2019, v. 10, p. 1, doi. 10.3389/fpsyg.2019.02461
- By:
- Publication type:
- Article
Commentary: On the Importance of the Speed-Ability Trade-Off When Dealing With Not Reached Items.
- Published in:
- Frontiers in Psychology, 2018, p. 1, doi. 10.3389/fpsyg.2018.01988
- By:
- Publication type:
- Article
A Robust Method for Detecting Item Misfit in Large-Scale Assessments.
- Published in:
- Educational & Psychological Measurement, 2023, v. 83, n. 4, p. 740, doi. 10.1177/00131644221105819
- By:
- Publication type:
- Article
Scoring Graphical Responses in TIMSS 2019 Using Artificial Neural Networks.
- Published in:
- Educational & Psychological Measurement, 2023, v. 83, n. 3, p. 556, doi. 10.1177/00131644221098021
- By:
- Publication type:
- Article
Modeling Item Revisit Behavior: The Hierarchical Speed–Accuracy–Revisits Model.
- Published in:
- Educational & Psychological Measurement, 2021, v. 81, n. 2, p. 363, doi. 10.1177/0013164420950556
- By:
- Publication type:
- Article
A Multiprocess Item Response Model for Not-Reached Items due to Time Limits and Quitting.
- Published in:
- Educational & Psychological Measurement, 2020, v. 80, n. 3, p. 522, doi. 10.1177/0013164419878241
- By:
- Publication type:
- Article
An Alternative Way to Model Population Ability Distributions in Large-Scale Educational Surveys.
- Published in:
- Educational & Psychological Measurement, 2015, v. 75, n. 5, p. 739, doi. 10.1177/0013164414558843
- By:
- Publication type:
- Article
Adjusting Person Fit Index for Skewness in Cognitive Diagnosis Modeling.
- Published in:
- Journal of Classification, 2020, v. 37, n. 2, p. 399, doi. 10.1007/s00357-019-09325-5
- By:
- Publication type:
- Article
Erratum to: A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data.
- Published in:
- 2022
- By:
- Publication type:
- Correction Notice
A Response-Time-Based Latent Response Mixture Model for Identifying and Modeling Careless and Insufficient Effort Responding in Survey Data.
- Published in:
- Psychometrika, 2022, v. 87, n. 2, p. 593, doi. 10.1007/s11336-021-09817-7
- By:
- Publication type:
- Article
Commentary: Matching IRT Models to PRO Constructs— Modeling Alternatives, and Some Thoughts on What Makes a Model Different.
- Published in:
- Psychometrika, 2021, v. 86, n. 3, p. 825, doi. 10.1007/s11336-021-09790-1
- By:
- Publication type:
- Article
Editorial, Spring 2020.
- Published in:
- 2020
- By:
- Publication type:
- Editorial
Using Response Times to Model Not-Reached Items due to Time Limits.
- Published in:
- Psychometrika, 2019, v. 84, n. 3, p. 892, doi. 10.1007/s11336-019-09669-2
- By:
- Publication type:
- Article
Effects of Discontinue Rules on Psychometric Properties of Test Scores.
- Published in:
- Psychometrika, 2019, v. 84, n. 1, p. 147, doi. 10.1007/s11336-018-09652-3
- By:
- Publication type:
- Article
Automated Item Generation with Recurrent Neural Networks.
- Published in:
- Psychometrika, 2018, v. 83, n. 4, p. 847, doi. 10.1007/s11336-018-9608-y
- By:
- Publication type:
- Article
In memoriam Jürgen Rost (1952-2017).
- Published in:
- 2018
- By:
- Publication type:
- Obituary
Measuring Growth in a Longitudinal Large-Scale Assessment with a General Latent Variable Model.
- Published in:
- Psychometrika, 2011, v. 76, n. 2, p. 318, doi. 10.1007/s11336-011-9202-z
- By:
- Publication type:
- Article