B. Junker

发表

A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance

Neil T. Heffernan, Kenneth R. Koedinger, Brian Junker, 2007, Intelligent Educational Machines.

Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory

B. Junker, K. Sijtsma, 2001 .

Cognitive Assessment Models with Few Assumptions , and Connections with Nonparametric IRT

B. Junker, K. Sijtsma, 2001 .

Alternative statistical models and representations for large sparse multi-dimensional contingency tables (∗)

S. Fienberg, E. Erosheva, B. Junker, 2002 .

Conditional association, essential independence and monotone unidimensional Item response models

B. Junker, 1993 .

A characterization of monotone unidimensional latent variable models

B. Junker, J. L. Ellis, 1997 .

Do Skills Combine Additively to Predict Task Di culty in Eighth-grade Mathematics ?

B. Junker, E. Ayers, 2006 .

Learning Factors Analysis - A General Method for Cognitive Model Evaluation and Improvement

Kenneth R. Koedinger, Brian Junker, Hao Cen, 2006, Intelligent Tutoring Systems.

Automating Cognitive Model Improvement by A * Search and Logistic Regression

K. Koedinger, B. Junker, H. Cen, 2005 .

4-month evaluation of a learner-controlled reading tutor that listens

Jack Mostow, Gregory Aist, B. Junker, 2008 .

Factors Associated with Alignment between Teacher Survey Reports and Classroom Observation Ratings of Mathematics Instruction

B. Junker, M. Stein, J. Kaufman, 2016, The Elementary School Journal.

ITEM RESPONSE THEORY: PAST PERFORMANCE, PRESENT DEVELOPMENTS, AND FUTURE EXPECTATIONS

B. Junker, K. Sijtsma, 2006 .

How can we promote understanding and fluency in learning from multiple representations ? Intelligent Tutoring System support for connection making

Martina A. Rau, R. Scheines, K. Koedinger, 2012 .

On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Future

Brian W. Junker, B. Junker, 2001 .

Some topics in nonparametric and parametric IRT, with some thoughts about the future

B. Junker, 2000 .

Polytomous IRT models and monotone likelihood ratio of the total score

Brian W. Junker, Klaas Sijtsma, Ivo W. Molenaar, 1996 .

Tail-measurability in monotone latent variable models

Brian W. Junker, Jules L. Ellis, B. Junker, 1997 .

Stochastic ordering using the latent trait and the sum score in polytomous IRT models

Brian W. Junker, Klaas Sijtsma, Ivo W. Molenaar, 1997 .

Some remarks on Scheiblechner's treatment of isop models

B. Junker, 1998 .

Applications and Extensions of MCMC in IRT: Multiple Item Types, Missing Data, and Rated Responses

Brian W. Junker, Richard J. Patz, B. Junker, 1999 .

Latent and Manifest Monotonicity in Item Response Models

Brian W. Junker, Klaas Sijtsma, B. Junker, 2000 .

Investigating the Effectiveness of a Comprehensive Literacy Coaching Program in Schools with High Teacher Mobility

Lindsay Clare Matsumura, B. Junker, H. Garnier, 2010, The Elementary School Journal.

Exploratory statistical methods, with applications to psychiatric research

Joel B. Greenhouse, Brian W. Junker, B. Junker, 1992, Psychoneuroendocrinology.

Bayesian hierarchical models for soil CO2 flux and leak detection at geologic sequestration sites

Mitchell J. Small, Grant S. Bromhal, Brian W. Junker, 2011 .

Computer-assisted oral reading helps third graders learn vocabulary better than a classroom control – about as well as one-on-one human-assisted oral reading

Albert T. Corbett, Jack Mostow, Paul Burkhead, 2001 .

The Role of Nonparametric Analysis in Assessment Modeling: Then and Now

B. Junker, 2011 .

A Hierarchical Rater Model for Longitudinal Data

B. Junker, J. Casabianca, Ricardo Nieto, 2017, Multivariate behavioral research.

The use of cognitive ability measures as explanatory variables in regression analysis

Lynne Steuerle Schofield, B. Junker, Lowell J. Taylor, 2012, IZA journal of labor economics.

Factor Analysis and Latent Structure: IRT and Rasch Models

B. Junker, 2001 .

Nonparametric Item Response Theory in Action: An Overview of the Special Issue

B. Junker, K. Sijtsma, 2001 .

A Note on Recovering the Ability Distribution from Test Scores.

B. Junker, 1992 .

Nonparametric Item Response Theory in Action: An Overview of the Special Issue

B. Junker, K. Sijtsma, 2001 .

Brain structural correlates of trajectories to cognitive impairment in men with and without HIV disease

B. Junker, J. Becker, L. Kingsley, 2019, Brain Imaging and Behavior.

The Hierarchical Rater Model for Rated Test Items and its Application to Large-Scale Educational Assessment Data

Richard J. Patz, Matthew S. Johnson, Louis T. Mariano, 2002 .

Asymptotic comparison of identifying constraints for Bradley-Terry models

Nynke M. D. Niezink, B. Junker, Weichen Wu, 2022, 2205.04341.

Power to Detect Intervention Effects on Ensembles of Social Networks

B. Junker, T. Sweet, 2016 .

Response Theory Cognitive Assessment Models with Few Assumptions , and Connections with Nonparametric Item

B. Junker, K. Sijtsma, 2001 .

Evaluation of an Automated Reading Tutor That Listens: Comparison to Human Tutoring and Classroom Instruction

Albert T. Corbett, Jack Mostow, Greg Aist, 2003 .

A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models

Richard J. Patz, B. Junker, 1999 .

A diagnostic framework for the Bradley–Terry model

Nynke M. D. Niezink, B. Junker, Weicheng Wu, 2022, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Statistical Aspects of a New Latent Trait Model

B. Junker, 1988 .

Progress in Characterizing Strictly Unidimensional IRT Representations

B. Junker, 1990 .

Essential independence and likelihood-based ability estimation for polytomous items

Brian W. Junker, B. Junker, 1991 .

Do Skills Combine Additively to Predict Task Di culty in Eighth-grade Mathematics ?

B. Junker, E. Ayers, 2006 .

Using Data Augmentation and Markov Chain Monte Carlo for the Estimation of Unfolding Response Models

Brian W. Junker, Matthew S. Johnson, B. Junker, 2003 .

The Hierarchical Rater Model for Rated Test Items and its Application to Large-Scale Educational Assessment Data

Brian W. Junker, Richard J. Patz, Matthew S. Johnson, 2002 .

Some statistical models and computational methods that may be useful for cognitively-relevant assessment

B. Junker, 1999 .

Is Over Practice Necessary? - Improving Learning Efficiency with the Cognitive Tutor through Educational Data Mining

Kenneth R. Koedinger, Brian Junker, Hao Cen, 2007, AIED.

Basic Statistical Principles

B. Junker, J. Greenhouse, 1992 .

Psychometric analysis of forensic examiner behavior

B. Junker, A. Mazumder, Amanda Luby, 2020, Behaviormetrika.

Psychometric analysis of forensic examiner behavior

Brian Junker, Amanda Luby, Anjali Mazumder, 2019, Behaviormetrika.

Covariates of the Rating Process in Hierarchical Models for Multiple Ratings of Test Items

Brian W. Junker, Louis T. Mariano, B. Junker, 2007 .

Using On-line Tutoring Records to Predict End-of-Year Exam Scores : Experience with the ASSISTments Project and MCAS 8 th Grade Mathematics

Brian W. Junker, B. Junker, 2006 .

Invariant item ordering of transitive reasining tasks

B. Junker, K. Sijtsma, J. Rost, 1997 .

Predictive Inference Using Latent Variables with Covariates

Brian Junker, Lynne Steuerle Schofield, Lowell J Taylor, 2015, Psychometrika.

Categorical Data Analysis

Stephen E. Fienberg, S. Fienberg, B. Junker, 2010 .

Empirically Derived Trajectories to Dementia Over 15 Years of Follow-up Identified by Using Mixed Membership Models.

B. Junker, J. Becker, L. Kuller, 2015, American journal of epidemiology.

High‐dimensional longitudinal classification with the multinomial fused lasso

Fabrizio Lecci, Samrachana Adhikari, James T Becker, 2015, Statistics in medicine.

Mixed membership trajectory models of cognitive impairment in the multicenter AIDS cohort study

B. Junker, J. Becker, L. Kingsley, 2015, AIDS.

The Influence of Content-Focused Coaching[R] on Reading Comprehension Instruction and Student Achievement.

Lindsay Clare Matsumura, L. Resnick, B. Junker, 2009 .

Faster MCMC for Gaussian latent position network models

Neil A. Spencer, B. Junker, T. Sweet, 2020, Network Science.

A Controlled Evaluation of Computer- versus Human-assisted Oral Reading

Albert T. Corbett, Jack Mostow, Paul Burkhead, 2002 .

The Influence of Content-Focused Coaching® on Reading Comprehension Instruction and Student Achievement Author(s):

Lindsay Clare Matsumura, L. Resnick, B. Junker, 2011 .

Designing Cognitive-Developmental Assessments: A Case Study in Proportional Reasoning

Gail P. Baxter, Lauren Resnick, L. Resnick, 2022 .

The Development and Testing of an Instrument to Measure Youth Social Capital in the Domain of Postsecondary Transitions

B. Junker, Sarah Ryan, 2016 .

Hierarchical Network Models for Education Research

Brian W. Junker, Andrew C. Thomas, Tracy Morrison Sweet, 2013 .

Overview of the Instructional Quality Assessment

Brian W. Junker, Yanna J. Weisberg, Lindsay Clare Matsumura, 2006 .

Model Specification for Cognitive Assessment of Proportional Reasoning

Brian W. Junker, Rhiannon Weaver, B. Junker, 2004 .

Nonparametric Item Response Theory in Action: An Overview of the Special Issue

B. Junker, K. Sijtsma, 2001 .

A survey of theory and methods of invariant item ordering.

K Sijtsma, B W Junker, B. Junker, 1996, The British journal of mathematical and statistical psychology.

Monotonicity and conditional independence in models for student assessment and attitude measurement

B. Junker, 2009 .

Predicting end-of-year accountability assessment scores from monthly student records in an online tutoring system

Brian W. Junker, Nathaniel O. Anozie, B. Junker, 2006 .

Beyond summative evaluation: The Instructional Quality Assessment as a professional development tool

Brian W. Junker, Lauren B. Resnick, Lindsay Clare Matsumura, 2006 .

Factor composition of the Suicide Intent Scale.

B. Junker, J. Sweeney, J. Mann, 1993, Suicide & life-threatening behavior.

DIMTEST: A Fortran Program for Assessing Dimensionality of Binary Item Responses

Hua-Hua Chang, Brian W. Junker, Ratna Nandakumar, 1992 .

Structural Robustness and Ability Estimation in Item Response Theory: A Survey.

B. Junker, 1991 .

Markov Chain Monte Carlo for Item Response Models

Brian W. Junker, Richard J. Patz, Nathan M. VanHoudnos, 2016 .

Estimating the Latent Trait Distribution with Loglinear Smoothing Models

B. Junker, J. Casabianca, 2013 .

Measuring Reading Comprehension and Mathematics Instruction in Urban Middle Schools: A Pilot Study of the Instructional Quality Assessment

Brian W. Junker, Lauren B. Resnick, Michael D. Steele, 2006 .

Title: Incorporating Learning into the Cognitive Assessment Framework

Brian Junker, Helen Chan, Cassandra Studer, 2012 .

Automatic and Semi-Automatic Skill Coding With a View Towards Supporting On-Line Assessment

Neil T. Heffernan, Carolyn Penstein Rosé, Kenneth R. Koedinger, 2005, AIED.

Comparing Two IRT Models for Conjunctive Skills

Kenneth R. Koedinger, Brian Junker, Hao Cen, 2008, Intelligent Tutoring Systems.

A three-sample multiple-recapture approach to census population estimation with heterogeneous catchability.

S E Fienberg, B W Junker, J N Derroch, 1993, Journal of the American Statistical Association.

Classical multilevel and Bayesian approaches to population size estimation using multiple lists

S. Fienberg, B. Junker, S. Fienberg, 1999 .

CID Models on Real-world Social Networks and Goodness of Fit Measurements

Jun Hee Kim, Eun Kyung Kwon, Qian Sha, 2018, SIAM Undergraduate Research Online.

Working-memory failure in phone-based interaction

Robert E. Kass, F. Javier Lerch, Brian R. Huguenard, 1997, TCHI.

Brain structural correlates of trajectories to cognitive impairment in men with and without HIV disease

B. Junker, J. Becker, L. Kingsley, 2019, Brain Imaging and Behavior.

Measuring Reading Comprehension and Mathematics Instruction in Urban Middle Schools: A Pilot Study of the Instructional Quality Assessment

Michael D. Steele, L. Resnick, B. Junker, 2006 .

Comparison of Cross-Validation Methods for Stochastic Block Models

Brian Junker, Beau Dabbs, B. Junker, 2016, 1605.03000.