Pages that link to "Item:Q1897118"

The following pages link to Measurement invariance, factor analysis and factorial invariance (Q1897118):

Displaying 43 items.

• Incorporating student covariates in cognitive diagnosis models (Q269217) (← links)
• Comparing latent means without mean structure models: a projection-based approach (Q316731) (← links)
• Regime switching state-space models applied to psychological processes: handling missing data and making inferences (Q418428) (← links)
• Using the criterion-predictor factor model to compute the probability of detecting prediction bias with ordinary least squares regression (Q441837) (← links)
• Analysis of NMAR missing data without specifying missing-data mechanisms in a linear latent variate model (Q549917) (← links)
• Optimization-based model fitting for latent class and latent profile analyses (Q658139) (← links)
• Fitting and testing conditional multinormal partial credit models (Q692411) (← links)
• Single- and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection (Q823858) (← links)
• Heteroscedastic latent trait models for dichotomous data (Q888018) (← links)
• Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research (Q971528) (← links)
• Bayesian significance testing and multiple comparisons from MCMC outputs (Q1023691) (← links)
• A factor mixture model for analyzing heterogeneity and cognitive structure of dementia (Q1621657) (← links)
• Understanding non-linear modeling of measurement invariance in heterogeneous populations (Q1630836) (← links)
• Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study (Q1633174) (← links)
• Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models (Q1633176) (← links)
• Using structural equation modelling to detect measurement bias and response shift in longitudinal data (Q1633178) (← links)
• Tests of measurement invariance without subgroups: a generalization of classical methods (Q1940982) (← links)
• Differential item functioning analyses of the Patient-reported outcomes measurement information system (PROMIS{\circledR}) measures: methods, challenges, advances, and future directions (Q2066615) (← links)
• The reliability factor: modeling individual reliability with multiple items from a single assessment (Q2103566) (← links)
• A latent variable mixed-effects location scale model with an application to daily diary data (Q2103582) (← links)
• Meta-analytic Gaussian network aggregation (Q2141634) (← links)
• The attack of the psychometricians (Q2260965) (← links)
• Might ``unique'' factors be ``common''? On the possibility of indeterminate common-unique covariances (Q2260976) (← links)
• A propensity score adjustment for multiple group structural equation modeling (Q2260985) (← links)
• On fair person classification based on efficient factor score estimates in the multidimensional factor analysis model (Q2318817) (← links)
• High-stakes testing case study: a latent variable approach for assessing measurement and prediction invariance (Q2331160) (← links)
• Restricted recalibration of item response theory models (Q2331180) (← links)
• An academic genealogy of psychometric society presidents (Q2331183) (← links)
• Identification of confirmatory factor analysis models of different levels of invariance for ordered categorical outcomes (Q2364849) (← links)
• An inequality for correlations in unidimensional monotone latent variable models for binary variables (Q2452303) (← links)
• An application of the LC-LSTM framework to the self-esteem instability case (Q2452363) (← links)
• Invariance in measurement and prediction revisited (Q2517887) (← links)
• Doubly robust-type estimation for covariate adjustment in latent variable modeling (Q2517891) (← links)
• A note on the implications of factorial invariance for common factor variable equivalence (Q2816868) (← links)
• The Monte Carlo EM method for estimating multivariate tobit latent variable models (Q3401364) (← links)
• Heteroscedastic factor mixture analysis (Q4970593) (← links)
• Using a latent variable model with non-constant factor loadings to examine PM_2.5 constituents related to secondary inorganic aerosols (Q4971451) (← links)
• Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariate<i>t</i>-Distribution (Q5305489) (← links)
• Estimating longitudinal change in latent variable means: a comparison of non-negative matrix factorization and other item non-response methods (Q5887971) (← links)
• A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data (Q6068297) (← links)
• Techniques to model uncertain input data of multi‐criteria decision‐making problems: a literature review (Q6070107) (← links)
• Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning (Q6185838) (← links)
• A comparison of the multilevel MIMIC model to the multilevel regression and mixed ANOVA model for the estimation and testing of a cross-level interaction effect: a simulation study (Q6563665) (← links)