Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/sage/applications-and-extensions-of-mcmc-in-irt-multiple-item-types-missing-nu5f0xdyIF
References (58)
-
Robert Misley, Pao-Kuei Wu (1996)
MISSING RESPONSES AND IRT ABILITY ESTIMATION: OMITS, CHOICE, TIME LIMITS, AND ADAPTIVE TESTINGETS Research Report Series, 1996
-
(1997)
Applications of the program LpcM in the field of measuring change -
L. Tierney (1994)
Markov Chains for Exploring Posterior DistributionsAnnals of Statistics, 22
-
(1994)
S-PLUS -
(1994)
The Vermont Portfolio Assessment Program: Findings and implications -
(1989)
Many-faceted Rasch Measurement -
Eugene Johnson (1994)
Technical Report of the NAEP 1992 Trial State Assessment Program in Reading. -
(1994)
Bayesian method for estimating multidimensional ability in item response analysis -
Herbert Hojtink, I. Molenaar (1997)
A multidimensional item response model: Constrained latent class analysis using the gibbs sampler and posterior predictive checksPsychometrika, 62
-
Adrian Smith, G. Roberts (1993)
Bayesian computation via the gibbs sampler and related markov chain monte carlo methods (with discus -
93940; [email protected]. He specializes in educational statistics and psychometrics -
G. Fischer, I. Molenaar (1995)
Rasch models: foundations, recent developments and applications -
R. Mislevy (1985)
Estimation of Latent Group EffectsJournal of the American Statistical Association, 80
-
F. Lord, M. Novick, A. Birnbaum (1966)
Some latent train models and their use in inferring an examinee's ability -
(1994)
Sampling and statistical procedures used in the California Learning Assessment System -
J. Albert (1992)
Bayesian Estimation of Normal Ogive Item Response Curves Using Gibbs SamplingJournal of Educational Statistics, 17
-
F. Lord (1980)
Applications of Item Response Theory To Practical Testing Problems -
X. Meng, S. Schilling (1996)
Fitting Full-Information Item Factor Models and an Empirical Investigation of Bridge SamplingJournal of the American Statistical Association, 91
-
E. Muraki (1992)
A GENERALIZED PARTIAL CREDIT MODEL: APPLICATION OF AN EM ALGORITHMETS Research Report Series, 1992
-
S. Raudenbush, A. Bryk (1992)
Hierarchical Linear Models: Applications and Data Analysis Methods -
F. Lord (1983)
Maximum likelihood estimation of item response parameters when some responses are omittedPsychometrika, 48
-
(1994)
Trial State Assessment Program in Reading. Washington, DC: Office of Educational Research and Improvement, U.S. Department of Education -
L. Tierney (1992)
Exploring Posterior Distributions Using Markov Chains -
(1996)
Markov chain Monte Carlo methods for item response theory models with applications for the National Assessment of Educational Progress. Doctoral dissertation -
Richard Patz, B. Junker (1999)
A Straightforward Approach to Markov Chain Monte Carlo Methods for Item Response Models, 24
-
R. Kass, D. Steffey (1989)
Approximate Bayesian Inference in Conditionally Independent Hierarchical Models (Parametric Empirical Bayes Models)Journal of the American Statistical Association, 84
-
M. Tatsuoka, F. Lord, M. Novick, A. Birnbaum (1971)
Statistical Theories of Mental Test Scores.Journal of the American Statistical Association, 66
-
R. Tsutakawa (1992)
Prior distribution for item response curvesBritish Journal of Mathematical and Statistical Psychology, 45
-
M. Wilson, Wen-Chung Wang (1995)
Complex Composites: Issues That Arise in Combining Different Modes of AssessmentApplied Psychological Measurement, 19
-
(1996)
BUGS 0.5: Bayesian inference using Gibbs Sampling, Version ii -
Item response models for quality of life data in clinical trials -
R. Bock, D. Thissen, M. Zimowski (1997)
IRT Estimation of Domain ScoresJournal of Educational Measurement, 34
-
R. Mislevy (1998)
Implications of Market-Basket Reporting for Achievement-Level SettingApplied Measurement in Education, 11
-
N. Longford (1987)
A fast scoring algorithm for maximum likelihood estimation in unbalanced mixed models with nested random effectsBiometrika, 74
-
(1996)
Design/Feasibility Team report to the National Assessment Governing Board -
Andrew Gudgeon, P. Holland, H. Wainer (1994)
Differential Item Functioning.The Statistician, 43
-
J. Ramsay (1989)
A comparison of three simple test theory modelsPsychometrika, 54
-
M. Tanner, W. Wong (1987)
The calculation of posterior distributions by data augmentationJournal of the American Statistical Association, 82
-
G. Arminger, B. Muthén (1998)
A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the metropolis-hastings algorithmPsychometrika, 63
-
D. Rubin (1975)
INFERENCE AND MISSING DATAPsychometrika, 1975
-
M. Cowles, B. Carlin (1996)
Markov Chain Monte Carlo conver-gence diagnostics: a comparative review -
S. Chib, E. Greenberg (1995)
Understanding the Metropolis-Hastings AlgorithmThe American Statistician, 49
-
(1996)
Efficient Metropolis jumping rules -
(1997)
Alternatives to GPA-based evaluation of student performance (with discussion) -
(1997)
Bayesian estimation for item response models. Manuscript submitted for publication -
R. Adams, Mark Wilson, Margaret Wu (1997)
Multilevel Item Response Models: An Approach to Errors in Variables RegressionJournal of Educational Statistics, 22
-
(1996)
Formulating the Rasch model as a mixed coefficients -
Eric Bradlow, H. Wainer, Xiaohui Wang (1999)
A Bayesian random effects model for testletsPsychometrika, 64
-
G. Fischer (1995)
The Linear Logistic Test Model -
V. Johnson (1996)
On Bayesian Analysis of Multirater Ordinal Data: An Application to Automated Essay GradingJournal of the American Statistical Association, 91
-
Cynthia Zengler (1998)
Book Review: Objective Measurement: Theory into Practice (volume 3)American Journal of Evaluation, 19
-
(1993)
Measurement problems -
D. Thissen, L. Steinberg, H. Wainer (1993)
Detection of differential item functioning using the parameters of item response models. -
G. Engelhard (1994)
Examining Rater Errors in the Assessment of Written Composition With a Many-Faceted Rasch ModelJournal of Educational Measurement, 31
-
G. Engelhard (1996)
Evaluating Rater Accuracy in Performance Assessments.Journal of Educational Measurement, 33
-
He specializes in statistical foundations of latent variable models for measurement, and adaptations of parametric and nonparametric item response models to novel repeated measures settings -
C. Myford, R. Mislevy (1995)
Monitoring and Improving a Portfolio Assessment System. -
R. Mislevy (1986)
Bayes modal estimation in item response modelsPsychometrika, 51
- Publisher
- SAGE
- Copyright
- Copyright © by SAGE Publications
- ISSN
- 1076-9986
- eISSN
- 1935-1054
- DOI
- 10.3102/10769986024004342
- Publisher site
- See Article on Publisher Site
Abstract
Patz and Junker (1999) describe a general Markov chain Monte Carlo (MCMC) strategy, based on Metropolis-Hastings sampling, for Bayesian inference in complex item response theory (IRT) settings. They demonstrate the basic methodology using the two-parameter logistic (2PL) model. In this paper we extend their basic MCMC methodology to address issues such as non-response, designed missingness, multiple raters, guessing behavior and partial credit (polytomous) test items. We apply the basic MCMC methodology to two examples from the National Assessment of Educational Progress 1992 Trial State Assessment in Reading: (a) a multiple item format (2PL, 3PL, and generalized partial credit) subtest with missing response data; and (b) a sequence of rated, dichotomous short-response items, using a new IRT model called the generalized linear logistic test model (GLLTM).
Journal
Journal of Educational and Behavioral Statistics – SAGE
Published: Dec 1, 1999