Alphabetical Listing of Current Research Reports
Application of Heuristic-Based Semantic Similarity
Between Single-Topic Texts for the LSAT (RR 12-05)
by Dmitry I. Belov and David A. Kary
Application of the M-Index for the LSAT (RR 10-01)
by Dmitry I. Belov, Law School Admission Council; and Ronald D. Armstrong, Rutgers University
Application of Robust Optimization to Automated Test Assembly (RR 12-02)
by Bernard P. Veldkamp, University of Twente, Enschede, The Netherlands
An Application of the VM-Index for the LSAT (RR 10-02)
by Dmitry I. Belov
Applications of Uniform Test Assembly for the LSAT (RR 05-01)
by Dmitry I. Belov
Assessing the Impact of Topic Interest on
Comprehension Processes (RR 11-02)
by Joseph P. Magliano, Amanda M. Durik, and Janet K. Holt,
Northern Illinois University
Automatic Prediction of Item Difficulty Based on Semantic Similarity Measures (RR 08-04)
by Dmitry I. Belov and Lily Knezevich
Balanced Item Pool Assembly in Computerized Adaptive Testing (RR 07-04)
by Dmitry I. Belov
Bayesian Estimation Methods for Multidimensional Models for Discrete and Continuous Responses (RR 06-05)
by Cees A. W. Glas, University of Twente, Enschede, The Netherlands
Bayesian Estimation Methods for Multidimensional Models for Discrete and Continuous Responses with a Structure on the Item and Person Parameters (RR 07-03)
by Cees A. W. Glas and Oksana Korobko, University of Twente, Enschede, The Netherlands
A Bivariate Lognormal Response-Time Model for the Detection of Collusion Between Test Takers (RR 08-06)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Comparability of Test-Taker Proficiency Scores on Computer Adaptive Tests Using Real and Simulated Data (RR 11-04)
by Josiah Evans, Law School Admisison Council; Jimmy de la Torre, Rutgers University; and Peter J. Pashley, Law School Admission Council
Conceptual Issues in Response-Time Modeling (RR 08-01)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Detection of Answer Copying via Kullback–Leibler Divergence and K-Index (RR 09-01)
by Dmitry I. Belov, Law School Admission Council; and Ronald D. Armstrong, Rutgers University
Detection of Large-Scale Item Preknowledge in Computerized Adaptive Testing via Kullback–Leibler Divergence (RR 12-01)
by Dmitry I. Belov
Distributions of Kullback–Leibler Divergence and Its Application for the LSAT (RR 09-02)
by Dmitry I. Belov, Law School Admission Council; and Ronald D. Armstrong, Rutgers University
Estimating and Testing the Extended Testlet Model (RR 12-03)
by Cees A. W. Glas, University of Twente, Enschede, The Netherlands
Fit to Testlet Models and Differential Testlet Functioning (RR 12-07)
by Cees A. W. Glas, University of Twente, Enschede, The Netherlands
A Hierarchical Framework for Modeling Speed and Accuracy on Test Items (RR 05-02)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Identifying Critical Testlet Features Using Tree-Based Regression: An Illustration With the Analytical Reasoning Section of the LSAT (RR 12-04)
by Muirne C. S. Paap,
Qiwei He, and
Bernard P. Veldkamp,
University of Twente, Enschede, The Netherlands
Information-Based Versus Number-Correct Routing in Multistage Classification Tests (RR 07-05)
by Alexander Weissman and Dmitry I. Belov, Law School Admission Council; and Ronald D. Armstrong, Rutgers University
Item Response Theory Parameter Estimation with Response Times as Collateral Information (RR 06-04)
by Wim J. van der Linden, Rinke H. Klein Entink, and Jean-Paul Fox, University of Twente, Enschede, The Netherlands
Likelihood-based Estimation Methods for Models for Concurrent Continuous and Discrete Responses (RR 05-04)
by Cees A. W. Glas and Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Likelihood-Based Estimation Methods for Models for Concurrent Continuous and Discrete Responses With a Structure for the Item and Person Parameters (RR 06-03)
by Wim J. van der Linden and Cees A. W. Glas, University of Twente, Enschede, The Netherlands
Likelihood-based Statistics for Continuous and Discrete Responses With a Structure for the Item and Person Parameters (RR 06-06)
by Cees A. W. Glas and Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Likelihood-based Statistics for Validating Continuous Response Models (RR 05-03)
by Cees A. W. Glas and Oksana Korobko, University of Twente, Enschede, The Netherlands
Linking Response-Time Parameters Onto a Common Scale (RR 08-02)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
LSAT Listening Assessment: Theoretical Background and Specifications (RR 03-02)
by Kenneth Olson
Optimizing Information Using the Expectation-Maximization Algorithm in Item Response Theory (RR 11-01)
by Alexander Weissman
An Overview of Research on the Testlet Effect: Associated Features, Implications for Test Assembly, and the Impact of Model Choice on Ability Estimates (RR 13-03)
by Muirne C. S. Paap, Cees A. W. Glas, and Bernard P. Veldkamp, University of Twente, Enschede, the Netherlands
Predictive Control of Speededness in Adaptive Testing (RR 07-02)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
A Report on the Inclusion of Diverse Speakers on the LSAT Listening Comprehension Assessment: A Survey of the Literature with Recommendations (RR 04-02)
by Stephanie M. Strassel, University of Pennsylvania
Robust Automated Test Assembly for Testlet-Based
Tests: An Illustration With the Analytical Reasoning
Section of the LSAT (RR 13-02)
by Bernard P. Veldkamp and
Muirne C. S. Paap,
University of Twente, Enschede, the Netherlands
Sequencing an Adaptive Test Battery (RR 08-05)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Statistical Algorithms for Detection of Test Collusion (RR 11-03)
by Dmitry I. Belov
Statistical Tests for Conditional Independence in a Hierarchical Model for Speed and Accuracy on Test Items (RR 06-02)
by Wim J. van der Linden and Cees A. W. Glas, University of Twente, Enschede, The Netherlands
A Stochastic Search for Test Assembly, Item Pool Analysis, and Design (RR 04-01)
by Dmitry Belov, Law School Admission Council; and Ronald D. Armstrong, Rutgers, The State University of New Jersey
Structural Modeling Using Two-Step MML Procedures (RR 08-07)
by Cees A. W. Glas, University of Twente, Enschede, The Netherlands
A Study of Structural Modeling Using Plausible Value Imputation (RR 08-03)
by Cees A. W. Glas and Hanneke Geerlings, University of Twente, Enschede, The Netherlands
Test Design and Speededness (RR 07-01)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Unraveling the Relationship Between Testlet Features
and Item Parameters: An Empirical Example (RR 12-06)
by Muirne C. S. Paap and Bernard P. Veldkamp,
University of Twente, Enschede, The Netherlands
Using Response Times for Item Selection in Computerized Adaptive Testing (RR 06-01)
by Wim J. van der Linden, University of Twente, Enschede, The Netherlands
Archived Research Reports
LSAC has archived all Research Reports that were published ten or more years ago. These reports are still available upon request.