Estimating item parameters and latent ability when responses are scored in two or more nominal categories
From MaRDI portal
Publication:2551302
DOI10.1007/BF02291411zbMath0233.62016MaRDI QIDQ2551302
Publication date: 1972
Published in: Psychometrika (Search for Journal in Brave)
Related Items
A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data, Describing the elephant: Structure and function in multivariate data, On the relationship between item response theory and factor analysis of discretized variables, A generalization of the logistic linear'model, Logistic response models with item interactions, Analysis of multiple partially ordered responses to belief items with don't know option, On equivalence between a partial credit item and a set of independent Rasch binary items, Loglinear multidimensional IRT models for polytomously scored items, Markov decision process measurement model, Fast estimation of multiple group generalized linear latent variable models for categorical observed variables, The unique correspondence of the item response function and item category response functions in polytomously scored item response models, Semiparametric factor analysis for item-level response time data, A taxonomy of item response models, Distractor selection ratios, Stochastic ordering using the latent trait and the sum score in polytomous IRT models, A note on converting calibrated parameters of item response theory models, Item response theory models in the measurement theory, Specifically objective stochastic latency mechanisms, Nested logit models for multiple-choice item response data, An item response theory model of matching test performance, Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling, On the finiteness of the weighted likelihood estimator of ability, Heteroscedastic latent trait models for dichotomous data, Bayesian checks on cheating on tests, Item response theory network analysis of European universities, Generalized fiducial inference for logistic graded response models, Application of a multidimensional nested logit model to multiple-choice test items, The cognitive-miser response model: testing for intuitive and deliberate reasoning, An extended GFfit statistic defined on orthogonal components of Pearson's chi-square, Slice sampling algorithm for estimating the item response theory model with ordinal response data, Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan, Three psychometric-model-based option-scored multiple choice item design principles that enhance instruction by improving quiz diagnostic classification of knowledge attributes, A Gibbs sampler for the (extended) marginal Rasch model, Analyzing test-taking behavior: decision theory meets psychometric theory, An instrumental variable estimator for mixed indicators: analytic derivatives and alternative parameterizations, An estimation method for latent traits and population parameters in nominal response model, Assessing variable importance in clustering: a new method based on unsupervised binary decision trees, The generalized logit-linear item response model for binary-designed items, The asymptotic posterior normality of the latent trait for polytomous IRT models, Polytomous IRT models and monotone likelihood ratio of the total score, Decomposition of a Rasch partial credit item into independent binary and indecomposable trinary items, Acceleration model in the heterogeneous case of the general graded response model, Discrepancy measures for item fit analysis in item response theory, Minimax \(D\)-optimal designs for item response theory models, Generalized latent trait models, Modification indices for the 2-PL and the nominal response model, Speed-accuracy response models: scoring rules based on response time and accuracy, Essential independence and likelihood-based ability estimation for polytomous items, Statistical inference for multiple choice tests, Multilevel logistic regression for polytomous data and rankings, On local influence analysis of full information item factor models, Analysis of distractor difficulty in multiple-choice items, An item response model for nominal data based on the rising selection ratios criterion, Thurstonian-based analyses: past, present, and future utilities, Limited information goodness-of-fit testing in multidimensional contingency tables, Estimation of latent ability and item parameters when there are omitted responses, Asymptotic cumulants of the parameters estimators in item response theory, Estimating difficulty from polytomous categorical data, Latent Variable Modelling: A Survey*, Graded response model based on the logistic positive exponent family of models for dichotomous responses, Unnamed Item, Mixed-effects analyses of rank-ordered data, Identifiability and equivalence of GLLIRM models, A sequential cognitive diagnosis model for polytomous responses, A partial mastery, higher-order latent structural model for polytomous attributes in cognitive diagnostic assessments, On a generalization of local independence in item response theory based on knowledge space theory, Second-order probability matching priors for the person parameter in unidimensional IRT models, Combining item response theory and diagnostic classification models: a psychometric model for scaling ability and diagnosing misconceptions, Modeling survey response bias -- with an analysis of the demand for an advanced electronic device, Modelling ordinal assessments: fit is not sufficient, A note on weighted likelihood and Jeffreys modal estimation of proficiency levels in polytomous item response models, Discussion of ``The class of CUB models: statistical foundations, inferential issues and empirical evidence
Uses Software
Cites Work
