MMM 2023 Archive – Jihong Zhang, Ph.D.

Session and Presentation

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	Session	Presentation
1	Session 1A: Dynamic Fit Index Cutoffs in SEM (Room 202)
2		Dynamic Fit Index Cutoffs for Generalizing and Extending Hu & Bentler
3	Session 1B: Causal Moderation (Room 305)
4		Alternative Specifications for Instrumental Variable Analysis in Structural Equation Modeling: First Steps Toward Latent Analysis of Symmetrically Predicted Endogenous Subgroups
5		Estimating and Interpreting Heterogeneous Treatment Effects in Online Experiments
6		Causal Language in Evaluating Moderation/Interaction Hypotheses
7	Session 1C: Latent Variable Modeling as a Vehicle toward Diversity, Equity, and Inclusion (Room 307)
8		Illustrating and Enacting a Critical Quantitative Approach to Measurement with MIMIC Models
9		Using QuantCrit to Advance an Anti-Racist Developmental Science: Applications to Mixture Modeling
10		Critical Action and Ethnic-Racial Identity: Tools of Racial Resistance at the College Transition
11		Development of the White Critical Consciousness Index
12	Session 1D: Measurement Invariance (Room 306)
13		Pervasive Differential Item Functioning (DIF)
14		Examining SEM Trees for Investigating Measurement Invariance Concerning Multiple Violators
15		Intersectional Measurement Invariance Testing
16	Session 1E: Applications of Spatial and Longitudinal Models (Room 108)
17		Subjective Well-being and Social Isolation in the COVID-19 Pandemic: A 3-Wave Longitudinal Study across One Year
18		Measuring Self-Regulatory Development from Kindergarten to Fifth Grade: Longitudinal Psychometrics with Alignment Optimization
19		Assessing Differences in Medical Debt in CT by Racial/Ethnic Minorities Using Modern Spatial Path Analytic Methods
20	Session 2A: Penalized Structural Equation Modeling (Room 202)
21		Penalized Structural Equation Modeling
22	Session 2B: Over-dispersion and Extra-zeros in Multilevel Models for Discrete Count Data (Room 108)
23		Model Typology and Demonstration for Over-dispersion and Extra-zeros in Multilevel Models for Discrete Count Data
24	Session 2C: Bayesian Approaches (Room 305)
25		Bayesian Model Averaging: A Conceptual Introduction
26		A Holistic Bayesian Approach to Addressing Measurement Reactivity with a Planned Missing Data Design
27		Bayesian Model Evaluation using Marginal Likelihood for Growth Mixture Models
28	Session 2D: SEM Fundamentals (Room 307)
29		Structural Equation Models for Between, Within, and Mixed Factorial Designs
30		Reenergizing Lost Modeling Treasures: The 100+ Years Old Path Analytic Tracing Rule
31	Session 2E: Modeling Dynamic Processes I (Room 306)
32		Empirical Bayes Derivative Estimates
33		Modeling Dynamic Processes with Panel Data: An Application of Continuous Time Models to Prevention Research
34	Session 2F: Longitudinal Applications I (Room 308)
35		Longitudinal Prediction of Health Using the Unique Variance in Personal Suffering Assessment Items
36		Examination of Heterogeneity of Growth Trajectory on Wage with Auxiliary Covariates: Applying BCH Approach in Growth Mixture Modeling
37		Do Executive Function and Effortful Control Co-Develop? Evidence from Latent Growth Curves with Structured Residuals and Multivariate Growth Mixture Models
38	Session 3A: Disaggregating Level-Specific Effects in Cross-Classified Multilevel Models (CANCELLED)
39		Disaggregating Level-Specific Effects in Cross-Classified Multilevel Models
40	Session 3B: Dealing with Missing Data (Room 305)
41		The Impact of MNAR Dropout on Estimation of Latent Growth Curve Models with Binary Observed Variables
42		Estimating Treatment Effects in Partially Clustered Randomized Controlled Trials with Missing Data: Challenges and Solutions
43	Session 3C: Modeling Item-Level Heterogeneous Treatment Effects with the Explanatory IRT (Room 307)
44		Modeling Item-Level Heterogeneous Treatment Effects with the Explanatory Item Response Model: Leveraging Online Assessments to Pinpoint the Impact of Educational Interventions
45	Session 3D: Comparing Latent and Composite Constructs with Nested Equivalence Testing
46		Comparing Latent and Composite Constructs with Nested Equivalence Testing
47	Session 3E: Latent Class Analysis (Room 108)
48		Modeling Careless Responding in Ambulatory Assessment Studies Using Multilevel Latent Class Analysis: Factors Influencing Careless Responding
49		Using Latent Class Models to Derive Subtypes for the Enneagram Personality Typology
50	Session 3F: Bifactor Measurement Models (Room 308)
51		Confirmatory Bifactor Measurement Models: Their Utility in Scale Development, Psychometric Modeling and Research with Latent Variables and/or Multidimensional Constructs
52		Investigating the Factor Structure of Sense of Social and Academic Fit Scale: A Multilevel Bifactor Study
53	Session 4A: Partially Nested Designs (Room 202)
54		Statistical Power for Multisite Partially Nested Regression Discontinuity Designs
55		Estimation, Statistical Power in Partially Nested Multisite Clustered-Randomized Trials
56	Session 4B: Longitudinal Causal Effect Estimation (Room 305)
57		Estimating Longitudinal Causal Effects: A Comparison of Marginal Structural Models, and Structural Equation Modeling Approaches
58		Asking and Answering Causal Questions Using Longitudinal Data
59	Session 4C: Characterization and Identification of Multivariate Latent Manifolds: Analytically Resolving Factor Score Indeterminacy (Room 307)
60		Characterisation and Identification of Multivariate Latent Manifolds: Analytically Resolving Factor Score Indeterminacy
61	Session 4D: Latent Variable Models for Location, Shape, and Scale Parameters
62		Latent Variable Models for Location, Shape, and Scale Parameters
63	Session 4E: Interactive, Automated, and Dynamic SEM (Room 308)
64		Interactive, Automated, and Dynamic SEMs for Maximal Productivity
65	Session 4F: Mixed Effect Location Scale Models: Methodological and Substantive Considerations (Room 108)
66		Mixed Effect Location Scale Models: Methodological and Substantive Considerations
67	Session 5A: A Two-Step Robust Estimation Approach for Inferring Within-Person Relations in Longitudinal Design (Room 102)
68		A Two-Step Robust Estimation Approach for Inferring Within-Person Relations in Longitudinal Design
69	Session 5B: Model Fit Issues in Measurement Models (Room 202)
70		ESEM, CFA, and Somewhere In-Between: The Effect of Measurement Quality on Model Fit Sensitivity
71		Performance of Model Fit Indices in Confirmatory Factor Analysis on Misspecified Item Response Models with Local Dependence
72	Session 5C: Causal Inference I (Room 305)
73		Synthetic Control Models for Causal Inference in Observational Social and Behavioral Sciences
74		A Tutorial on Propensity Score Analysis with Semi-Continuous Treatment
75	Session 5D: Partially/Disparately Nested Structures (Room 306)
76		Croon’s Estimation of Multilevel Structural Equation Models with Partially Nested Data
77		Structural After Measurement Estimation of Disparately Nested Structures
78	Session 5E: Difference-in-Differences: A Methodological Illustration (Room 107)
79		Difference-in-Differences: A Methodological Illustration
80	Session 5F: Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI (Room 108)
81		Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI
82	Session 6A: Transparency, Reproducibility, and Replicability of Modeling Methods: Problems and Solutions (Room 102)
83		Transparency, Reproducibility, and Replicability of Modeling Methods: Problems and Solutions
84	Session 6B: Complex Designs which Stretch the Boundaries of Conventional IRT
85		Scoring the Complexities of Alphabet Knowledge
86		Multinomial Models for Unpacking Linguistically Informative Response Choices: Test Structure and Item Function
87		Picturing the Impossible: Pictures, Repetitions, and Item-Set Card Effects in Measuring Vocabulary
88		Assessment of Children with Autism Using Eye Gaze and Generalized Additive Logistic Regression
89	Session 6C: Reconsidering Lord’s Paradox (Room 202)
90		Robust and Pseudo-Robust Solutions to Lord’s Paradox
91		Does Group-Mean Centering Always Inflate Type I Error Rates in Multiple Regression Analyses?
92		Dual Centered-ANCOVA with interaction, a Solution for Lord’s paradox with Implications for Valid Causal Inferences in Longitudinal Analyses
93	Session 6D: Modeling Dynamic Processes II (Room 305)
94		Consequences of Sampling Frequency on the Estimated Dynamics of AR Processes using Continuous Time Models
95		Summing the up and downs of life: The Bayesian Reservoir Model of Psychological Regulation
96	Session 6E: Dyadic and Group Applications (Room 306)
97		Generalizability Theory Applied to Daily Relationship Quality: Substantive and Statistical Directions (CANCELLED)
98		The Dynamics of Opinion Expression During Group Discussion
99		Boosting Powers by Combining Spatial Econometrics with Dyadic Analysis and SEM: Racial/Ethnic Differences in Life Expectancy across the US States
100	Session 7A: Tutorial: Methods for Sensitivity Analysis to Omitted Confounders in SEM (Room 102)
101		A Tutorial on Methods for Sensitivity Analysis to Omitted Confounders in Structural Equation Modeling
102	Session 7B: Issues in Multilevel Modeling (Room 202)- CANCELLED
103		Modeling Options for Clustered Data: An Empirical Comparison of Hierarchical and Population Average Models (Cancelled)
104		Understanding the Consequences of Collinearity for Multilevel Models: The Importance of Disaggregation across Levels (Cancelled)
105	Session 7C: Modeling Single Subject Data (Room 305)
106		GLMMs for Overdispersed Count Data in SCED Studies: Does Autocorrelation Matter?
107		Individual Participant Data Meta-Analysis Including Moderators: Empirical Validation
108	Session 7D: Enacting Critical Quantitative Methodology: Leveraging IRT to Advance Critical Consciousness Measurement (Room 108)
109		Enacting Critical Quantitative Methodology: Leveraging IRT to Advance Critical Consciousness Measurement
110	Session 7E: The Construction and Estimation of Multidimensional Linear Factor Models without Parametric Assumptions (Room 306)
111		The Construction and Estimation of Multidimensional Linear Factor Models without Parametric Assumptions
112	Session 8A: Dyadic and Group Designs (Room 102)
113		Understanding Group Effects Using the Co-Partner Design
114		Sample Considerations for Detecting Person, Dyad, and Contextual Effects Using the Common Fate Model for Dyadic Analysis
115	Session 8B: Optimal Design and Cost Considerations (Room 202)
116		Power Analysis and Sample Size Planning in the Design of Two-Level Randomized Cost-Effectiveness Trials
117		Optimal Design of Experimental Studies Under Condition- and Unit-Specific Cost Structures
118		Optimal Design of Multisite-Randomized Trials Investigating Mediation Effects Under Unequal Costs
119	Session 8C: Longitudinal Applications II (Room 108)
120		An Application of Random Changepoint Models to Cognitive Aging Research
121		Application of a Novel Model for Analyzing Data from Randomized Pretest, Posttest, Follow-up Designs: Results from a Pediatric Randomized Behavioral Clinical Trial
122		Health in All Polices Approach: A Dynamic Modelling of Social Policies’ Effect on Mental Health
123	Session 8D: Sample Heterogeneity in Dynamic Psychological Processes
124		A Bayesian Multilevel Mixture Autoregressive Model
125		Identifying and Explaining Sample Heterogeneity in Dynamic Psychological Processes Using ml-VARTree
126		Impact of Temporal Order Selection on Clustering Intensive Longitudinal Data Based on Vector Autoregressive Models
127		Penalized Subgrouping of Heterogeneous Time Series
128		Clustering Analysis of Time Series of Affect in Dyadic Interactions
129	Session 8E: Modeling COVID-19 (Room 306)
130		Unobserved Components Models: Applications in Post-COVID Analysis
131		Using Cross-classified Multi-level Modeling to Identify COVID-19 Period Effects on Race and Gender Differences in Training Effectiveness
132		Daily Associations of Emotion and Fatigue in College Students during the Early Stages of the COVID-19 Pandemic: An Application of Dynamic Structural Equation Modeling
133	Posters
134		Convenience Samples and Measurement Equivalence in Replication Research: A Registered Report
135		Item-Weighted Expected a Posteriori Method for Improved Latent Trait Estimation in Item Response Theory
136		Collapsing Categories for Likert Type Items: Dealing with Same Items, Different Categories in Longitudinal Data
137		Investigating the Factor Structure of Educational Test Data: A Practical Illustration Using Multiple-Choice Credentialing Exams for Workforce Development Programs
138		Designing Three Level Regression Discontinuity Studies With Partially Nested Structures
139		What’s the Occasion? An Algorithm for Generating Optimal Measurement Schedules
140		An Equivalence Testing Based Version of the Standardized Root Mean Squared Residual
141		Fitting Empirically Under-Identified Models: A Two-Factor Example
142		Application of Planned Missingness Using 7 Datasets Without a Single Linking Test
143		A Novel Effect Size Measure for Mediation with a Multicategorical Predictor
144		Sharing is Not Normal: Evaluating the Statistical Methods for Analyzing Multimodal Dictator Game Data
145		IRT Standard Error Estimation in Item Modelling – A Mathematical Approach
146		Multilevel Latent Differential Structural Equation Model with Short Time Series and Time-Varying Covariates: A Comparison of Frequentist and Bayesian Estimators
147		Examining Different Approaches to Treating Zero-Frequency Cells in Polychoric Correlation Estimation
148		Implementing an Expanded Mediation Model to Obtain Less Biased Estimates of Mediation Effects Implemented Using SEM
149		Establishing An Optimal Individualized Treatment Rule for Pediatric Anxiety with Longitudinal Modeling for Evaluation
150		Detecting Cohort Effects in Accelerated Longitudinal Designs Using Multilevel Models
151		Examining the Heterogeneity in the Effect of Head Start as a Multi-phase Treatment Accounting for Selection Bias and Clustering
152		Drift Diffusion Modeling of Reaction Times and Accuracies on the Color Shapes Task
153		Assessing Multiple Imputation to Test Measurement Invariance with Ordinal Items
154		Multi-level Structural Equation Modeling of Factors Influencing Mathematics Achievement
155		Looking Beyond Fit Indices: A Bifactor Model Best Practice Study
156		Confidence Interval of Effect Size Measures in Longitudinal Growth Models
157		Prior Achievement, Future Learning Opportunities, and Student Achievement
158		An Evaluation of the Bayesian Hypothesis Test of Mediation Effects via the Bayes Factor
159		The Role of Cherry Picking in the Replication Crisis
160		Evaluating the Multiplicity Control Practices of Psychology Researchers
161		The Power of Smaller Samples: Developing Age-Stratified Norms From Randomly Selected Sub-Samples
162		Is There a Time to Be Discrete? Comparisons of Difference Score and Autoregressive Models
163		Within-Person Analysis of Developmental Cascades of Externalizing Problems, Academic Competence, and Internalizing Problems from Kindergarten to Fifth Grade: Evidence from Population-Based Sample of US Elementary School Students
164		Bayesian Factor Analysis with Regularizing Priors on Threshold Parameters
165		An Evaluation of Methods for Handling Missing Data in Randomized Controlled Trials with Omitted Moderation Effects
166		Anchor Item Requirements for the Free Baseline DIF Approach in Thurstonian-IRT
167		Investigating the Performance of the Bi-Factor AESEM with Dichotomous Indicators Under Conditions of Measurement Non-Invariance
168		Deep Learning Imputation for Unbalanced and Incomplete Likert-type Items
169		Closing the Loop Between Educational Data Mining and Educational Measurement and Evaluation
170		Addressing Potential Model Misspecification: A Novel Application of the Latent-Curve Model with Structured Residuals to Well-Being in Justice-Involved Youth
171		Bayesian Workflow for Model Building in Educational Research
172		Patterns of Current Tobacco Use among Adults in US and Israel and the Correlates
173		Derivative Estimation to Quantify Pain Variability in Chronic Pain Patients
174		Item Quality for Cognitive Assessments in Low-to-Middle Income Countries: Evidence from the Ethiopia Young Lives Data.
175		Does Self-Motivation Affect Academic Performance among Middle Schoolers in Ethiopia? A Partial Latent Mediation Analysis.
176		Exploring Individual Differences in Continuous Time Dynamics of Loving Feelings in Daily Life
177		Detrending Multi-Subject, Short Time Series Data for Vector Autoregressive and Dynamic Structural Equation Models
178		Impact of Missing Days in Daily Diary Studies: A Simulation Study
179		The Effect of Model Size on the Root Mean Square Error of Approximation (RMSEA): The Nonnormal Case
180		Using RMSEA Associated with the Chi-Square Difference Test to Compare Bifactor and Hierarchical Factor Models under Minor Misspecification
181		Compliance and Outcomes in the Toddler Obesity Prevention Study (TOPS), a Behavioral Intervention to Improve Physical Activity
182		Integrating Fuzziness into Vector Autoregressive (VAR)-Based Clustering
183		Measuring Leadership for Learning: A Cross-Validation Multilevel Factor Analysis Approach

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Posters

Session 8D: Sample Heterogeneity in Dynamic Psychological Processes