Pages that link to "Item:Q2551302"
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The following pages link to Estimating item parameters and latent ability when responses are scored in two or more nominal categories (Q2551302):
Displaying 50 items.
- Analysis of multiple partially ordered responses to belief items with don't know option (Q316775) (← links)
- Application of a multidimensional nested logit model to multiple-choice test items (Q418419) (← links)
- The cognitive-miser response model: testing for intuitive and deliberate reasoning (Q418425) (← links)
- An estimation method for latent traits and population parameters in nominal response model (Q467894) (← links)
- The generalized logit-linear item response model for binary-designed items (Q477952) (← links)
- Asymptotic cumulants of the parameters estimators in item response theory (Q549616) (← links)
- Specifically objective stochastic latency mechanisms (Q599470) (← links)
- Nested logit models for multiple-choice item response data (Q603162) (← links)
- The asymptotic posterior normality of the latent trait for polytomous IRT models (Q676469) (← links)
- Polytomous IRT models and monotone likelihood ratio of the total score (Q676523) (← links)
- Decomposition of a Rasch partial credit item into independent binary and indecomposable trinary items (Q676527) (← links)
- Acceleration model in the heterogeneous case of the general graded response model (Q676550) (← links)
- Speed-accuracy response models: scoring rules based on response time and accuracy (Q692405) (← links)
- A partial mastery, higher-order latent structural model for polytomous attributes in cognitive diagnostic assessments (Q779040) (← links)
- Heteroscedastic latent trait models for dichotomous data (Q888018) (← links)
- Bayesian checks on cheating on tests (Q888024) (← links)
- A Gibbs sampler for the (extended) marginal Rasch model (Q906040) (← links)
- Analyzing test-taking behavior: decision theory meets psychometric theory (Q906057) (← links)
- Estimating difficulty from polytomous categorical data (Q985441) (← links)
- Graded response model based on the logistic positive exponent family of models for dichotomous responses (Q998829) (← links)
- Identifiability and equivalence of GLLIRM models (Q1029515) (← links)
- Describing the elephant: Structure and function in multivariate data (Q1091731) (← links)
- On the relationship between item response theory and factor analysis of discretized variables (Q1093297) (← links)
- A taxonomy of item response models (Q1104016) (← links)
- Essential independence and likelihood-based ability estimation for polytomous items (Q1205739) (← links)
- Statistical inference for multiple choice tests (Q1205741) (← links)
- Estimation of latent ability and item parameters when there are omitted responses (Q1213418) (← links)
- Modeling survey response bias -- with an analysis of the demand for an advanced electronic device (Q1305771) (← links)
- Distractor selection ratios (Q1362279) (← links)
- Stochastic ordering using the latent trait and the sum score in polytomous IRT models (Q1371407) (← links)
- Departure from normal assumptions: A promise for future psychometrics with substantive mathematical modeling (Q1387694) (← links)
- Markov decision process measurement model (Q1643432) (← links)
- On the finiteness of the weighted likelihood estimator of ability (Q1682439) (← links)
- Generalized fiducial inference for logistic graded response models (Q1695746) (← links)
- Assessing variable importance in clustering: a new method based on unsupervised binary decision trees (Q1729346) (← links)
- On equivalence between a partial credit item and a set of independent Rasch binary items (Q1897133) (← links)
- Loglinear multidimensional IRT models for polytomously scored items (Q1897138) (← links)
- The unique correspondence of the item response function and item category response functions in polytomously scored item response models (Q1901353) (← links)
- A Bayesian algorithm based on auxiliary variables for estimating GRM with non-ignorable missing data (Q2135926) (← links)
- Semiparametric factor analysis for item-level response time data (Q2152419) (← links)
- An item response theory model of matching test performance (Q2177491) (← links)
- An instrumental variable estimator for mixed indicators: analytic derivatives and alternative parameterizations (Q2220537) (← links)
- Minimax \(D\)-optimal designs for item response theory models (Q2250639) (← links)
- Generalized latent trait models (Q2250640) (← links)
- Modification indices for the 2-PL and the nominal response model (Q2250673) (← links)
- Multilevel logistic regression for polytomous data and rankings (Q2259872) (← links)
- On local influence analysis of full information item factor models (Q2259876) (← links)
- Analysis of distractor difficulty in multiple-choice items (Q2259988) (← links)
- An item response model for nominal data based on the rising selection ratios criterion (Q2260055) (← links)
- Thurstonian-based analyses: past, present, and future utilities (Q2260982) (← links)
