Pages that link to "Item:Q1093297"

The following pages link to On the relationship between item response theory and factor analysis of discretized variables (Q1093297):

Displaying 46 items.

• The heteroscedastic graded response model with a skewed latent trait: testing statistical and substantive hypotheses related to skewed item category functions (Q441823) (← links)
• A Markov chain Monte Carlo approach to confirmatory item factor analysis (Q603164) (← links)
• Multidimensional latent Markov models in a developmental study of inhibitory control and attentional flexibility in early childhood (Q615675) (← links)
• Estimation and goodness-of-fit in latent trait models: a comparison among theoretical approaches (Q670170) (← links)
• Analysis of residuals for the multinomial item response model (Q676476) (← links)
• Item response models for forced-choice questionnaires: a common framework (Q736436) (← links)
• Factor and ideal point analysis for interpersonally incomparable data (Q756345) (← links)
• A transdisciplinary view of measurement error models and the variations of \(X = T + E\) (Q826858) (← links)
• Heteroscedastic latent trait models for dichotomous data (Q888018) (← links)
• Principal component analysis of binary data by iterated singular value decomposition (Q959131) (← links)
• On the use, the misuse, and the very limited usefulness of Cronbach's alpha (Q1013057) (← links)
• A multidimensional latent trait model for measuring learning and change (Q1205747) (← links)
• A simple Gauss-Newton procedure for covariance structure analysis with high-level computer languages (Q1261623) (← links)
• Modeling within-subject dependencies in ordinal paired comparison data (Q1371412) (← links)
• Score-based tests of differential item functioning via pairwise maximum likelihood estimation (Q1643439) (← links)
• Unifying differential item functioning in factor analysis for categorical data under a discretization of a normal variant (Q1695634) (← links)
• A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (Q1695738) (← links)
• Limited information estimation and testing of Thurstonian models for preference data (Q1867825) (← links)
• The unique correspondence of the item response function and item category response functions in polytomously scored item response models (Q1901353) (← links)
• Pairwise likelihood estimation for factor analysis models with ordinal data (Q1927206) (← links)
• Partial identification of latent correlations with binary data (Q2065261) (← links)
• A unified model-implied instrumental variable approach for structural equation modeling with mixed variables (Q2066602) (← links)
• Differential item functioning analyses of the Patient-reported outcomes measurement information system (PROMIS{\circledR}) measures: methods, challenges, advances, and future directions (Q2066615) (← links)
• Matching IRT models to patient-reported outcomes constructs: the graded response and log-logistic models for scaling depression (Q2066634) (← links)
• On identification and non-normal simulation in ordinal covariance and item response models (Q2177739) (← links)
• Generalized latent trait models (Q2250640) (← links)
• Thurstonian modeling of ranking data via mean and covariance structure analysis (Q2250677) (← links)
• Positive loadings and factor correlations from positive covariance matrices (Q2260018) (← links)
• A relation between a between-item multidimensional IRT model and the mixture Rasch model (Q2260041) (← links)
• Implications of indeterminate factor-error covariances for factor construction, prediction, and determinacy (Q2260974) (← links)
• Cultural consensus theory for the ordinal data case (Q2348189) (← links)
• Mixed-effects analyses of rank-ordered data (Q2511825) (← links)
• Limited information estimation and testing of Thurstonian models for paired comparison data under multiple judgment sampling (Q2511836) (← links)
• Multilevel and latent variable modeling with composite links and exploded likelihoods (Q2517865) (← links)
• Mixture models for ordinal data: a pairwise likelihood approach (Q2631383) (← links)
• The influence of data generation and imputation methods on the bias of factor analysis of rating scale data (Q3297942) (← links)
• Reparametrization of Homogeneity Analysis to Accommodate Item Response Functions (Q3370966) (← links)
• Latent Variable Modelling: A Survey* (Q3608238) (← links)
• (Q4409975) (← links)
• A modeling framework to examine psychological processes underlying ordinal responses and response times of psychometric data (Q6080764) (← links)
• Partial identification of latent correlations with ordinal data (Q6160319) (← links)
• A test to distinguish monotone homogeneity from monotone multifactor models (Q6175679) (← links)
• Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning (Q6185838) (← links)
• A multidimensional model to facilitate within person comparison of attributes (Q6572338) (← links)
• Regularized variational estimation for exploratory item factor analysis (Q6572344) (← links)
• Stochastic approximation EM for large-scale exploratory IRT factor analysis (Q6625196) (← links)