Bridge Centrality: A Network Approach to Understanding Comorbidity.
来源期刊:Multivariate behavioral researchDOI:10.1080/00273171.2019.1614898
Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1535420
On Nonregularized Estimation of Psychological Networks
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1575716
Latent Variable Models and Networks: Statistical Equivalence and Testability.
来源期刊:Multivariate behavioral researchDOI:10.1080/00273171.2019.1672515
Quantifying the Reliability and Replicability of Psychopathology Network Characteristics.
来源期刊:Multivariate behavioral researchDOI:10.1080/00273171.2019.1616526
Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1590794
Moderated Network Models.
来源期刊:Multivariate behavioral researchDOI:10.1080/00273171.2019.1677207
Model Implied Instrumental Variables (MIIVs): An Alternative Orientation to Structural Equation Modeling
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1483224
New Recommendations on the Use of R-Squared Differences in Multilevel Model Comparisons
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1660605
On Standardizing Within-Person Effects: Potential Problems of Global Standardization
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1532280
Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1562863
Direction Dependence Analysis in the Presence of Confounders: Applications to Linear Mediation Models Using Observational Data
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1528542
Estimating New Quantities from Longitudinal Test Scores to Improve Forecasts of Future Performance
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1691484
A joint modeling framework of responses and response times to assess learning outcomes
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1607238
Evaluating Factorial Invariance: An Interval Estimation Approach Using Bayesian Structural Equation Modeling
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1514484
Regularized Estimation of the Nominal Response Model
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1681252
Testing Measurement Invariance with Ordinal Missing Data: A Comparison of Estimators and Missing Data Techniques
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1608799
Indirect Effects in Sequential Mediation Models: Evaluating Methods for Hypothesis Testing and Confidence Interval Formation
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1618545
Effect Partitioning in Cross-Sectionally Clustered Data Without Multilevel Models
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1602504
Scoring Depression on a Common Metric: A Comparison of EAP Estimation, Plausible Value Imputation, and Full Bayesian IRT Modeling
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1491381
Sample Size Planning for Detecting Mediation Effects: A Power Analysis Procedure Considering Uncertainty in Effect Size Estimates
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1593814
Using Network Analysis for Examining Interpersonal Emotion Dynamics
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1624147
aPRIDIT Unsupervised Classification with Asymmetric Valuation of Variable Discriminatory Worth
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1665979
The Assumptions of Direction Dependence Analysis
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1608800
Simple Structure Detection Through Bayesian Exploratory Multidimensional IRT Models
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1496317
Analysis of Interactions and Nonlinear Effects with Missing Data: A Factored Regression Modeling Approach Using Maximum Likelihood Estimation
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1640104
Integrating covariates into circumplex structures: an extension procedure for Browne’s circular stochastic process model
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1534678
Nonlinear Indicator-Level Moderation in Latent Variable Models
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1486174
A Perspective on the Mathematical and Psychometric Aspects of Factor Indeterminacy
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1684872
Rater Model Using Signal Detection Theory for Latent Differential Rater Functioning
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1522496
Multilevel Reliability Measures of Latent Scores Within an Item Response Theory Framework
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1596780
Multilevel Factor Score Regression
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1661817
Empirical Bayes Derivative Estimates
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1642729
Abstract: An Evaluation of Planned Missing Data Designs in Large Surveys
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1555747
A Comparison of Fixed-Effects and Random-Effects Models for Multivariate Meta-Analysis Using an SEM Approach
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1689348
Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1598837
A Method of Correcting Estimation Failure in Latent Differential Equations with Comparisons to Kalman Filtering
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1642730
Improving Standard Error Estimates in Multistage Estimation: A Multiple Imputation (MI) Based Approach
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1557034
Analysis of Covariance in Randomized Experiments with Heterogeneity of Regression and a Random Covariate: The Variance of the Estimated Treatment Effect at Selected Covariate Values
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1693953
A Caution in the Use of Bootstrap Confidence Intervals for Fit Indexes
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1696737
Assessment of Item Response Model-Data Fit Via Bayesian Limited Information Model Comparison Posterior Predictive Checks
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1700772
A Neglected Aspect of the Reproducibility Crisis: Factor Analytic Monte Carlo Studies
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1697864
A Two-level Moderated Latent Variable Model with Single Level Data
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1689350
Gleaning Information for Cognitive Operations from Don’t Know Responses in Cognitive and Noncognitive Assessments
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2018.1503075
An Analytical Framework for Research Questions With Variability as the Outcome or Predictor
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1695570
Estimation of Controlled Direct Effects in Longitudinal Mediation Analyses with Latent Variables in Randomized Studies
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1681251
The Combined Effects of Omitting Confounders and Measurement Error on Statistical Inference of Mediation and a New Tool for Sensitivity Analysis
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1694478
Modeling Within-Dyad Change in Coregulation Using Couples’ Text Messages and Differential Equation Models
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1694479
Tangle: A New Measure of Time Series Complexity
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1699009
A Bayesian Saturated Model Approach to Posterior Predictive Model Checks in Confirmatory Factor Analysis
来源期刊:Multivariate Behavioral ResearchDOI:10.1080/00273171.2019.1700773