MMM 2024 Archive

2024 Archive of Papers and Posters

Preconference workshop:  Sacha Epskamp- Network Psychometrics in R

Slides for 2024 Conference Presentations:

Alley, L. & Shaw, M. How to register your simulation study: Our lessons learned. Link: preregistrations_D3

Chen, S. M. & Bauer, D. Modeling Construct Change Over Time Amidst Potential Changes in Construct Measurement: A Longitudinal Moderated Factor Analysis Approach. Link: https://sites.google.com/view/smarcochen

Coman, E., Bruder, S., & Grantham, C. Modern Spatial Path Analytic Tools to Investigate the Geography of Medical Debt across a US StateLink: MMM2024Coman_Modern Spatial Path Analytic Tools

Coman, E., Byers, J., Johnson, B., Steinbach, S., Chen, P. X., Fotheringham, S. Investigating the Life Expectancies Differences in the U.S. by Comparing Naive and Spatial Analytic Methods across Census Tracts, Counties, and StatesLink: MMM2024Coman_Investigating the Life Expectancies Differences in the US

Coman, E., Jaccard, J., Uva, S., & Cazan, A. Restructuring Basic Statistical Curricula:  Mixing Older Analytic Methods with Modern Software Tools in Psychological ResearchLink: MMM2024Coman_Restructuring Basic Statistical Curricula

Devine, S., Falk, C. F., & Fujimoto, K. A. Comparing the Accuracy of Three Predictive Information Criteria for Bayesian Linear Multilevel Model Selection. Link: Devine_Comparing the Accuracy of Three Predictive

Diaz et. al- EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection

Falk, C. F., Huang, A., & Ilagan, M. J. Unsupervised Survey Bot Detection: In Search of High Classification Accuracy. Link:

Flake, J. K. Why do reproducibility and replicability of simulation studies matter? Link: Repro and Rep of Sims

Gilbert, J., Miratrix, L, Mridul, J., Domingue, B. Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity. Link: Disentangling Person-Dependent and Item-Dependent Causal Effects copy

Hernandez-Torres, J. M., Giraldo-Santiago, N., & McNeish, D. Validation of the Evidence Based Practices Attitude Scale (EBPAS) using Dynamic Fit Index cut-offs. Link: Torres M3 2024 JHT

Hoover, J. C. & Thompson, W. J. Evaluating Bayesian Transition Diagnostic Classification Models for Reporting Within-Year Progress. Link: Hoover tdcm slides M3

Jaffari, F. & Koran, J. Introducing the Deleted One Covariance Residual Measure to Structural Equation Modeling

Li, H. Model Selection of GLMMs in the Analysis of Count Data in SCEDs: A Monte Carlo Simulation. Link: M3_2024_Haoran Li

Li, J., Coffman, D., & Piper, M. E. An Estimation Approach for Time-Varying Effect Models Using Cubic Splines. Link: MMM24_Presentation_Jingwei

McCormick, E. Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference. Link: m3-2024

Montoya, A. K. Registered reports for simulation studies.

Newsom, J. T., Kroeck, M. R., Keller, B. T., & Smith, N. A. A Solution for Including Auxiliary Variables with Categorical Dependent Variable Estimation in SEMLinkNewsom_Binary with Auxiliary Variables (final)

Rafiee, P. & Yang, M. Evaluating the Effect of Change in Cross-Domain Latent Growth Curve Analysis with Missing Data. Link: CD-LGC with Missing at Random Data 2024

Rigdon, E. Understanding Composite-Based Methods via Regression Component Analysis.

Schoemann, A. M., Moore, E. W., Meier, E. M., Reburn, K. L., & Bowler, M. C. Comparing Alternatives to the Three-Form Planned Missing Data Design. Link: Schoemann_M32024_PlannedMiss

Tibbe, T. D. Replicating Simulation Research:  A Case Study Link: 2024_M3_Tristan_Tibbe_Replicating_Simulation_Research_A_Case_Study_Final

Truong, M. & Choi, J. Y. Machine Learning Structural Equation Modeling and Falsificatory Data Analysis. Linkhttps://osf.io/x3gtu/

Uanhoro, J. Modeling Misspecification as a Parameter in Bayesian Structural Equation Models. Link: Uanhoro_bsem_fit_m3

2024 Conference Posters:

Bain, C. & Shi, D. Assessing Genetic Algorithms for Variable Selection in Predictive Modeling Based on Classification: Comparing Loss Functions and Internal Models through a Simulation Study. Link: Bain_M3poster_final

Sutherland Charvis, J., Rozum, L., Iacoi, S., Vergara Lopez, C., & Lopez Vergaga, H. Measurement Invariance of Attachment and Perceived Stress across Six Intersectional Race/Ethnicity and Gender Identities in Emerging Adults. Link: Modern Modeling Methods Conference 2024 _ Poster _ Sutherland Charvis et al 2024

Lane Pelton, K. & McCoach, D. B. Exploring Estimates of Multilevel Reliability for School Based Behavioral Measures. Link:  LanePelton.

McCann, C. & Liu, X. Multilevel Mediation with Unmeasured Cluster-Level Confounders: Evaluating Propensity Score Models. Link: McCann M3-Poster

Ofori Aboah, V., Kadir, L., O’Connell, A. A.  Assessing Differential Item Functioning of the PISA 2018 Academic Resilience Scale. Link: Valerie Ofori Aboah_M3 Poster #20

Reyna, K. & Loken, E. Comparing Model Complexity in Item Response Theory Models with Randomly Generated Data. Link: M3 2024 poster – Kirsten Reyna

Truong, M. S., Crone, G., Choi, J. Y. Planting Decision Trees: Human Friendly Interpretation of Monte Carlo Simulations, Multiverse Analyses and Multivariate Posterior Distributions. Link: https://osf.io/x3gtu/

Ventura, C. & Loken, E. Response Time Modeling for PISA 2018 Math Items Using the Joint ModelLink: Ventura_Response_Time_M3

Wilberforce, W. G. & O’Connell, A. A. A Methodological Review of Intersectionality in Differential Item Functioning, Issues, and Challenges. Link: Final_I-DIF_M3Poster_Winifred&Ann

Zhang, G., Shi, D., Fairchild, A. J. Understanding the ULS-Based Model Fit Indices. Link: Zhang_ULS Poster

Zhang, G., Shi, D., Fairchild, A. J. A Comparison of Likert vs. Slider Formats in Clinical Assessment. Link: Zhang_Sliders Poster