Conference Proceedings
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Adaptive Testing and Learning
Bayesian Methods
Categorical Data Analysis
Clustering and Classification
Cognitive Diagnostic Models
Causal Inference and Mediation
Differential Item Functioning and Fairness in Testing
Identification, Estimation, and Computation
Item Response Models
Large-Scale Assessments
Latent Variable Modeling
Longitudinal Design and Analysis
Machine Learning and Artificial Intelligence
Missing Data
Multilevel Modeling and Clustered Data Analysis
Multivariate Analysis
Network Analysis and Graphical Modeling
Process Data
Replication and Reproducibility
Test Equating
Validity and Reliability
Applications and Case Studies
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Session Presented at:
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NB A: Session: Applications of Longitudinal Data Analysis
NB A: Session: Priors in Bayesian models
NB A: Session: Topics in categorical data analysis
NB A: Session: Topics in factor analysis
NB A: Session: Topics in IRT 1
NB A: Session: Topics in IRT 3
NB A: Symposium: Asymmetric Item Response Models
NB A: Symposium: Latent variable models for complex data structures
NB A: Symposium: Novel statistical approaches to tackle challenges in intensive longitudinal data
NB B: Session: Theoretical and Applied Issues in Validity
NB B: Session: Topics in Adaptive Testing
NB B: Session: Topics in Causal Inference 2
NB B: Session: Topics in Latent Variable Estimation
NB B: Session: Topics in Structural Equation Modeling
NB B: Symposium: Beyond ignorability: Advancing with Partial Identifiability in Psychometrics
NB B: Symposium: Formal theories of psychological phenomena
NB B: Symposium: Modeling Heterogeneity in Response Strategies
NB B: Symposium: Recent advances in (non-)Bayesian informative hypothesis evaluation
NB C: Session: AI and Machine Learning in Educational Settings
NB C: Session: Bayesian stacking, trees, and predictive modeling
NB C: Session: Longitudinal Designs and Methods
NB C: Session: Novel approaches to IRT
NB C: Session: Psychometric Applications to Health
NB C: Session: Topics in Intensive Longitudinal Data Analysis
NB C: Symposium: Integrating Large Language Models and Artificial Intelligence in Research: Network Psychometrics, Emotion Dynamics, and Open-Ended Evaluations
NB C: Symposium: Novel advances in psychometric network modeling
NB C: Symposium: Using causal inference theory for designing and analyzing replication studies
NB D: Session: More on AI and Machine Learning
NB D: Session: Topics in Missing Data Analysis
NB D: Session: Topics in Reliability
NB D: Symposium: Advancements in conducting observational intensive longitudinal studies: Design, data, and analysis.
NB D: Symposium: New Insights in Longitudinal Data and Mediation Analysis
NB D: Symposium: Quantifying replication success: correspondence measures for replication studies
NB D: Symposium: Quantifying replication success: Correspondence measures for replication studies
NB D: Symposium: Statistical learning approaches to psychometric challenges
NB D: Symposium: Using Structural Equation Models to Analyze Round-Robin Data from Social Networks
RB 101: Invited Talk: Building bridges between psychometrics island and psychology mainland
RB 101: Invited Talk: Confirmatory mixture models for investigating contextual correlates of response behavior in ecological momentary assessments
RB 101: Invited Talk: Using robust scaling to address DIF and DTF in latent variable models
RB 101: Session: Dimensionality and IRT
RB 101: Session: Longitudinal Latent Class and CDM Models
RB 101: Session: Problems in Cognitive Diagnostic Modeling
RB 101: Session: Problems in Mediation Analysis
RB 101: Session: Psychometric Applications to Psychology
RB 101: Symposium: From traditional to modern methods for the analysis of multi-item measurements
RB 101: Symposium: User Beware - Emerging Evidence that Survey Item Calibration and Scoring Decisions Can Introduce Substantial Bias into Growth Mixture Model Results
RB 101: Symposium: Using process data to understand, assist, and enhance assessment
RB 209: Session: Classification Methods
RB 209: Session: Differential Item Functioning
RB 209: Session: Differentital Item Functioning
RB 209: Session: Estimation Methods
RB 209: Session: Psychometric Applications to Cognition and Learning
RB 209: Session: Topics in Causal Inference
RB 209: Session: Topics in Statistical/Machine Learning
RB 209: Symposium: Advancements in Structural Equation Modeling (SEM): Model Fit, Parameter Selection, and Measurement Invariance
RB 209: Symposium: Quantitative methods for assessing the impact of physical environment on health
RB 209: Workshop 1: Structural Equation Models for Categorical Outcomes Using lavaan
RB 210: Session: Applications of IRT
RB 210: Session: Developments in IRT
RB 210: Session: Machine Learning and Deep Learning
RB 210: Session: Psychometric Applications to Education
RB 210: Session: Response Processes and Test Taking Behaviors
RB 210: Session: Topics in Clustering
RB 210: Session: Topics in IRT 4
RB 210: Symposium: Heterogeneity in Repeated Measures
RB 210: Symposium: Psychometric innovations for adaptive learning systems
RB 210: Workshop 2: Tools of Machine Learning in Psychometrics
RB 211: Session: Bayesian factor analysis and SEM
RB 211: Session: Bayesian Issues in IRT
RB 211: Session: Graduate Student Research Competition
RB 211: Session: Psychometric Applications to Health Outcomes 2
RB 211: Session: Statistical topics
RB 211: Session: Topics in Large-Scale Assessments
RB 211: Session: Topics in Longitudinal Data Analysis
RB 211: Session: Topics in Machine Learning
RB 211: Symposium: New Developments in Dynamic Modeling
RB 211: Workshop 3: Planning and Conducting Simulation Studies in R (Part 1)
RB 211: Workshop 3: Workshop 3: Planning and Conducting Simulation Studies in R (Part 2)
RB 212: Session: Topics in Factor Analysis
RB 212: Session: Topics in IRT 2
RB 212: Symposium: Theory Construction Methods
RB 212: Workshop 4: Computerized Adaptive Testing and Multistage Testing with R
Vencovského aula: Career Lifetime Achievement Award: A selective intellectual history of differential item functioning analysis in item response theory and factorial invariance in factor analysis
Vencovského aula: Cito Special Symposium: The future of educational measurement: Integra
Vencovského aula: Dissertation Award Presentation: Constructs may or may not be latent: studies on two domains of structural equation modeling
Vencovského aula: Early Career Award: From network psychometrics to Bayesian graphical modeling
Vencovského aula: ETS Special Symposium: Psychometric innovations in large-scale survey assessments
Vencovského aula: Invited Panel: Paths to the future: A panel discussion of the future of SEM
Vencovského aula: Invited Panel: Foundational Competencies in Educational Measurement: An NCME Task Force Consensus
Vencovského aula: Invited Panel: Quality Standards for Simulation Studies in Psychometrics
Vencovského aula: Invited Talk: Continuous-time latent variable modeling of measurement scales in health studies: applications to the multiple-system atrophy progression
Vencovského aula: Invited Talk: Computational aspects of psychometric methods and beyond
Vencovského aula: Invited Talk: Rating systems for measurement in adaptive learning systems: challenges and solutions
Vencovského aula: Keynote Address: Statistical inference with model uncertainty
Vencovského aula: Keynote Address: The investigation of mediating processes as a measurement challenge
Vencovského aula: Presidential Address: Probabilistic forecasting with international large-scale assessments: methods for estimating the pace of progress to the United Nations education sustainable development targets
Vencovského aula: Symposium: Item Response Theory and Health Outcomes: Novel Applications and Methods
Vencovského aula: Symposium: Psychometric Methods for Analysis of Wellbeing in the Context of Digital Technologies
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