Quantitative Psychology: The 87th Annual Meeting of the Psychometric Society, Bologna, Italy, 2022

Preface
Contents
Factors Affecting Efficiency of Interrater Reliability Estimates from Planned Missing Data Designs on a Fixed Budget
	1 Introduction
		1.1 Intraclass Correlation Coefficients
		1.2 Planned Missing Data
	2 Method
		2.1 Data Generation
			2.1.1 Core Design Factors
			2.1.2 Additional Design Factors
		2.2 Analysis
	3 Results
		3.1 Core Conditions
		3.2 Magnitude of ICC
		3.3 Overlapping Teams
	4 Discussion
		4.1 Advice for Sample-Size Planning
	Appendix
	References
Concordance for Large-Scale Assessments
	1 Introduction
	2 Linking Large-Scale assessments
	3 Technical Procedure for Establishing Concordance Tables
	4 Practical Implementation for Establishing Concordance Tables
	5 Example for Establishing Concordance Tables
	6 How to Use the Concordance Table
	7 Conclusion and Recommendations
	References
Comparing Parametric and Nonparametric Methods for Heterogeneous Treatment Effects
	1 Potential Outcomes and ATE in Clustered Data
	2 Subgroup Analysis and CATE
	3 Doubly-Robust Estimators Using Multilevel Models
		3.1 Inverse Propensity Weighted Regression
		3.2 Augmented Inverse Propensity of Weighting
	4 Data Challenge at a Causal Inference Conference
	5 CF, BART, and Multilevel Models for CATE
	6 Discussion
	References
A Historical Perspective on Polytomous Unfolding Models
	1 Description of Polytomous Unfolding IRT Models
	2 Discussion
	References
Kernel Equating Presmoothing Methods: An Empirical Study with Mixed-Format Test Forms
	1 Introduction
	2 Kernel Equating
		2.1 Log-Linear Presmoothing
		2.2 IRT Presmoothing
	3 Empirical Study
	4  Results
	5 Discussion
	References
Equating Different Test Scores with Landmark Registration Compared to Equipercentile Equating
	1 Introduction
	2 Sum Scores and Optimal Scores
	3 Equipercentile Equating
	4 Equating Test Scores with Landmark Registration
	5 Empirical Study
		5.1 Empirical Study Results
	6 Simulation Study
		6.1 Simulation Study Results
	7 Discussion
	References
Pauci sed boni: An Item Response Theory Approach for Shortening Tests
	1 Introduction
	2 Item Response Theory and Information Functions
	3 Item Selection Procedures
		3.1 Benchmark Procedure
		3.2 Procedure Based on θ Targets
		3.3 Comparison Between θ-Target Procedure and Benchmark Procedure
	4 Method
	5 Results
	6 Discussion
	References
Limited Utility of Small-Variance Priors to Detect Local Misspecification in Bayesian Structural Equation Models
	1 Introduction
	2 Study 1: Priors for Approximately-Zero Constraints
		2.1 Method
		2.2 Results
	3 Study 2: Priors for Approximate Equality Constraints
		3.1 Method
		3.2 Results
	4 Discussion
	References
Proper and Useful Distractors in Multiple-Choice Diagnostic Classification Models
	1 Introduction
	2 Review of Key Technical Concepts
		2.1 Cognitive Diagnosis
		2.2 The MC-DINA Model
		2.3 Removing the Nestedness Condition
		2.4 The MC-NPC Method
	3 Coded Response Options: The Concepts of Proper and Useful
	4 Discussion and Outlook
	References
Detecting Latent Variable Non-normality Through the Generalized Hausman Test
	1 Introduction
	2 The Classical and SNP-IRT Model for Binary Data
		2.1 Pairwise Estimator for the SNP0 Model
		2.2 Quasi-ML Estimator for the SNPL Model
	3 The Generalized Hausman Test
	4 Simulation Study
		4.1 Simulation Design
		4.2 Results
	5 Conclusion
	References
A Speed-Accuracy Response Model with Conditional Dependence Between Items
	1 Introduction
	2 Discrete Item-Response Models
	3 Speed-Accuracy Response Models
	4 Estimation
	5 Application
	6 Discussion
	References
A Modified Method of Balancing Attribute Coverage in CD-CAT
	1 Introduction
	2 The Deterministic Input Noisy Output “AND” Gate Model
	3 Item Selection Methods
	4 A Modified Attribute Balancing Index
	5 Simulation Study
	6 Results
	7 Discussion
	References
Resolving the Test Fairness Paradox by Reconciling Predictive and Measurement Invariance
	1 Introduction
	2 Recap of Predictive and Measurement Invariance and Their Relations
	3 Fairness Concepts Based on Latent Variables
	4 Fairness Concepts Based on Manifest Variables
	5 Comparison of Fairness Concepts for Latent and Manifest Variables
	6 Discussion
	References
The Plausibility and Feasibility of Remedies for Evaluating Structural Fit
	1 Evaluating Structural Fit
		1.1 Issues with Current Methods
		1.2 Potential Remedies for Evaluating Structural Fit
			1.2.1 Numerical Solution: Sample Plausible Values
			1.2.2 Analytical Solution: Use Bias-Correcting Formulas
	2 Asymptotic Investigation
		2.1 Hypotheses
		2.2 Factor-Level Population Model
		2.3 Indicator-Level Population Model
		2.4 Procedure
			2.4.1 Plausible Values
			2.4.2 SAM
		2.5 Results and Discussion
			2.5.1 Conflated SFIs
			2.5.2 Decomposed SFIs
	3 Conclusion
	References
Clustering Individuals Based on Multivariate EMA Time-Series Data
	1 Introduction
	2 Background on EMA Time-Series Data Characteristics
	3 Clustering Methodological Steps
		3.1 Distance Metric
		3.2 Clustering Methods
		3.3 Clustering Evaluation
	4 Experimental Results
	5 Related Work
	6 Conclusions
	References
On the Relationship Between Coefficient Alpha and Closeness Between Factors and Principal Components for the Multi-factorModel
	1 Introduction
	2 Definitions and Assumptions
	3 Theorem
	4 Lemmas and Proof of the Theorem
	5 Simulation
	6 Discussion
	References
A Genetic Algorithm-Based Framework for Learning Statistical Power Manifold
	1 Introduction
		1.1 Motivation
		1.2 Literature Review
		1.3 Contribution
	2 Methodology
		2.1 Learning Power Manifold Using Genetic Algorithm
		2.2 Power Prediction Using Nearest Neighbors
	3 Experiments
		3.1 Experimental Details
		3.2 Algorithms
		3.3 Evaluation Metrics
		3.4 Results
		3.5 Discussion
	4 Conclusion
	5 Future Work
	References
Using Nonparametric Mixture Models to Model Effect Heterogeneity in Meta-analysis of Very Rare Events
	1 Introduction
	2 Logistic and Log-Linear Nonparametric Mixture Models
	3 Simulation Study
	4 Results
	5 Conclusion and Discussion
	References
Investigating Differential Item Functioning via Odds Ratio in Cognitive Diagnosis Models
	1 Introduction
	2 Method
	3 Results
	4 Conclusions and Discussion
	References
Effect of Within-Group Dependency on Fit Statistics in Mokken Scale Analysis in the Presence of Two-Level Test Data
	1 Introduction
	2 Observable Properties
		2.1 Manifest Monotonicity
		2.2 Conditional Association
		2.3 Manifest Invariant Item Ordering
	3 Simulation Study
		3.1 Method
			3.1.1 Independent Variables
			3.1.2 Dependent Variables
			3.1.3 Statistical Analyses
			3.1.4 Hypotheses
	4 Results
		4.1 Manifest Monotonicity
		4.2 Conditional Association
		4.3 Manifest Invariant Item Ordering
	5 Discussion
	References
Regularized Robust Confidence Interval Estimation in Cognitive Diagnostic Models
	1 Introduction
	2 Mathematical Theory
		2.1 Cognitive Diagnostic Model Specification
			2.1.1 Data Model
			2.1.2 Probability Model of Data Generating Process
			2.1.3 Latent Skill Attribute Profile Probability Model
			2.1.4 Parameter Prior Model
		2.2 Parameter Estimation Method
		2.3 Asymptotic Statistical Theory for Confidence Intervals
	3 Simulation Study
		3.1 Methods
		3.2 Results
	4 General Discussion
	References
Continuation Ratio Model for Polytomous Responses with Censored Like Latent Classes
	1 Introduction
	2 Common Approaches to Model Responses to Bullying Victimization Items in Large-Scale Assessment
	3 Continuation Ratio Model with Mixtures to Account for Non-normality in the Latent Distribution
	4 Methods
		4.1 Selected Data for Illustration
		4.2 Analytical Strategy
	5 Results
		5.1 Item Side
		5.2 Person Side
		5.3 Expected Responses
	6 Conclusion and Discussion
	References
A Three-Step Rectangular Latent Markov Modeling for Advising Students in Self-learning Platforms
	1 Introduction
	2 Three-Step Rectangular Latent Markov Modeling
		2.1 Step 1: Multidimensional Latent Class IRT Model
		2.2 Step 2: Modal Class Assignment and Classification Error
		2.3 Step 3: BCH Correction to Account for Covariate Effect
	3 Application: Learning Statistics in Non-STEM Degree Programs
		3.1 Results
	4 Conclusion
	Appendix
	References
Considerations in Group Differences in Missing Values
	1 Background
	2 Experimental Setup
		2.1 Selection Models
		2.2 Missingness Simulation
		2.3 Imputer Models
		2.4 Impact Ratios
	3 Results
	4 Conclusion
	Appendix: Code to Generate Missing Data Patterns
	References
Fully Latent Principal Stratification: Combining PS with Model-Based Measurement Models
	1 Introduction
	2 Classical PS
	3 Fully Latent PS
	4 Simulation Study
		4.1 Design
		4.2 Evaluation
	5 Results
		5.1 Recovery of Measurement Model Parameters
		5.2 Parameter Recovery for Structural Models
	6 Summary and Future Direction
	Appendix
	References
Multilevel Reliabilities with Missing Data
	1 Introduction
	2 Theoretical Backgrounds
		2.1 Reliabilities for Single-Level Data
		2.2 Reliabilities for Multilevel Data
		2.3 Reliabilities with Missing Values
	3 Methods
		3.1 Data Generation
		3.2 Data Analysis
	4 Results and Conclusions
		4.1 Convergence Rates
		4.2 Percentage Bias
	5 Discussions
	References
New Flexible Item Response Models for Dichotomous Responses with Applications
	1 Introduction
	2 Traditional IRT Models
	3 Flexible Dichotomous IRT Models
	4 Inference
	5 Application
	6 Final Comments
	Appendix: RP-RG Stan Code
	References
Estimating Individual Dynamic Factor Models Using a Regularized Hybrid Unified Structural Equation Modeling with Latent Variable
	1 Introduction
	2 The Current Study
		2.1 The Simulation Design
		2.2 Analytic Procedure
	3 Result
	4 Discussion
	References
Optimizing Multistage Adaptive Testing Designs for Large-Scale Survey Assessments
	1 Introduction
	2 Stepwise Assembly
	3 Application
		3.1 Simulation Study
		3.2 Selection of Findings
	4 Discussion
	References
Psychometric Modeling of Handwriting as a Nonverbal Assessment Instrument and Its Properties
	1 Introduction
	2 Method
		2.1 A Subsection Sample
		2.2 Alzheimer's Disease Screening Indicator
		2.3 Aggressivity Indicator
	3 Discussion
	References
Analyzing Spatial Responses: A Comparison of IRT-BasedApproaches
	1 Introduction
	2 Background
		2.1 White Box Study
	3 Methods
		3.1 Two-Stage Rasch Model
		3.2 Spatial Rater Model
	4 Results
		4.1 Simulated Data
		4.2 Two-Stage Approach
		4.3 Spatial Rater Model
	5 Discussion
	References
Application of the Network Psychometric Framework to Measurement Burst Designs
	1 Introduction
		1.1 Psychonetrics: A Toolbox for Confirmatory Testing in Network Psychometrics
	2 Illustrative Example
		2.1 Method
		2.2 Analytic Strategy
		2.3 Results
	3 Discussion
	References
Index