Multilevel Heterogeneous Factor Analysis and Application to Ecological Momentary Assessment

Psychometrika - Ansari et al. (Psychometrika 67:49–77, 2002) applied a multilevel heterogeneous model for confirmatory factor analysis to repeated measurements on individuals. While the mean...     

Noncompensatory MIRT For Passage-Based Tests

Psychometrika - We consider a multidimensional noncompensatory approach for binary items in passage-based tests. The passage-based noncompensatory model (PB-NM) emphasizes two underlying components...     

Erratum to: A Simple Method for Comparing Complex Models: Bayesian Model Comparison for Hierarchical Multinomial Processing Tree Models Using Warp-III Bridge Sampling

Psychometrika - The article A SIMPLE METHOD FOR COMPARING COMPLEX MODELS:     

Bayesian Mixture Model of Extended Redundancy Analysis

Psychometrika - Extended redundancy analysis (ERA), a generalized version of redundancy analysis (RA), has been proposed as a useful method for examining interrelationships among multiple sets of...     

Modeling Heterogeneous Peer Assortment Effects Using Finite Mixture Exponential Random Graph Models

Psychometrika - This article develops a class of models called sender/receiver finite mixture exponential random graph models (SRFM-ERGMs). This class of models extends the existing exponential...     

Exponential-Family Random Graph Models for Multi-Layer Networks

Psychometrika - Multi-layer networks arise when more than one type of relation is observed on a common set of actors. Modeling such networks within the exponential-family random graph (ERG)...     

Computation and application of generalized linear mixed model derivatives using lme4

Psychometrika - Maximum likelihood estimation of generalized linear mixed models (GLMMs) is difficult due to marginalization of the random effects. Derivative computations of a fitted GLMM’s...     

Using Penalized EM Algorithm to Infer Learning Trajectories in Latent Transition CDM

Psychometrika - Cognitive diagnostic models (CDMs) have arisen as advanced psychometric models in the past few decades for assessments that intend to measure students’ mastery of a set of...     

Learning Large Q-Matrix by Restricted Boltzmann Machines

Psychometrika - Estimation of the large Q-matrix in cognitive diagnosis models (CDMs) with many items and latent attributes from observational data has been a huge challenge due to its high...     

An Instrumental Variable Estimator for Mixed Indicators: Analytic Derivatives and Alternative Parameterizations

Psychometrika - Methodological development of the model-implied instrumental variable (MIIV) estimation framework has proved fruitful over the last three decades. Major milestones include...     

Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation

Psychometrika - Restricted latent class models (RLCMs) provide an important framework for supporting diagnostic research in education and psychology. Recent research proposed fully exploratory...     

Consistency Theory for the General Nonparametric Classification Method

Psychometrika - Parametric likelihood estimation is the prevailing method for fitting cognitive diagnosis models—also called diagnostic classification models (DCMs). Nonparametric concepts...     

Erratum to: Beyond the Mean: A Flexible Framework for Studying Causal Effects Using Linear Models

Psychometrika - The original version of the article contains the below listed errors.     

A Problem with Discretizing Vale–Maurelli in Simulation Studies

Psychometrika - Previous influential simulation studies investigate the effect of underlying non-normality in ordinal data using the Vale–Maurelli (VM) simulation method. We show that...     

Rotation in Correspondence Analysis from the Canonical Correlation Perspective

Psychometrika - Correspondence analysis (CA) is a statistical method for depicting the relationship between two categorical variables, and usually places an emphasis on graphical representations....     

Frequentist Model Averaging in Structure Equation Model With Ordinal Data

Psychometrika - In practice, it is common that a best fitting structural equation model (SEM) is selected from a set of candidate SEMs and inference is conducted conditional on the selected model....     

A Dyadic IRT Model

Psychometrika - We propose a dyadic Item Response Theory (dIRT) model for measuring interactions of pairs of individuals when the responses to items represent the actions (or behaviors,...     

Contemporaneous Statistics for Estimation in Stochastic Actor-Oriented Co-evolution Models

Psychometrika - Stochastic actor-oriented models (SAOMs) can be used to analyse dynamic network data, collected by observing a network and a behaviour in a panel design. The parameters of SAOMs are...     

Estimating Structural Equation Models Using James–Stein Type Shrinkage Estimators

Psychometrika - We propose a two-step procedure to estimate structural equation models (SEMs). In a first step, the latent variable is replaced by its conditional expectation given the observed...     

Second-Order Probability Matching Priors for the Person Parameter in Unidimensional IRT Models

Psychometrika - In applications of item response theory (IRT), it is often of interest to compute confidence intervals (CIs) for person parameters with prescribed frequentist coverage. The...