Evaluation of variance inflation factors in regression models using latent variable modeling methods KM Marcoulides, T Raykov Educational and psychological measurement 79 (5), 874-882, 2019 | 297 | 2019 |
Structural equation modeling with many variables: A systematic review of issues and developments L Deng, M Yang, KM Marcoulides Frontiers in psychology 9, 350045, 2018 | 214 | 2018 |
New ways to evaluate goodness of fit: A note on using equivalence testing to assess structural equation models KM Marcoulides, KH Yuan Structural Equation Modeling: A Multidisciplinary Journal 24 (1), 148-153, 2017 | 135 | 2017 |
Model Specification Searches in Structural Equation Modeling with R KM Marcoulides, CF Falk Structural Equation Modeling: A Multidisciplinary Journal 25 (3), 484-491, 2018 | 39 | 2018 |
Using an acculturation‐stress‐resilience framework to explore latent profiles of Latina/o language brokers JA Kam, KM Marcoulides, AJ Merolla Journal of Research on Adolescence 27 (4), 842-861, 2017 | 33 | 2017 |
Assessing model fit in structural equation modeling using appropriate test statistics KM Marcoulides, N Foldnes, S Grønneberg Structural Equation Modeling: A Multidisciplinary Journal 27 (3), 369-379, 2020 | 32 | 2020 |
Data integration approaches to longitudinal growth modeling KM Marcoulides, KJ Grimm Educational and Psychological Measurement 77 (6), 971-989, 2017 | 28 | 2017 |
Careful with those priors: A note on Bayesian estimation in two-parameter logistic item response theory models KM Marcoulides Measurement: Interdisciplinary Research and Perspectives 16 (2), 92-99, 2018 | 24 | 2018 |
Automated latent growth curve model fitting: A segmentation and knot selection approach KM Marcoulides Structural Equation Modeling: A Multidisciplinary Journal 25 (5), 687-699, 2018 | 21 | 2018 |
Individual change and the timing and onset of important life events: Methods, models, and assumptions K Grimm, K Marcoulides International Journal of Behavioral Development 40 (1), 87-96, 2016 | 19 | 2016 |
A comparison of metaheuristic optimization algorithms for scale short-form development AW Raborn, WL Leite, KM Marcoulides Educational and Psychological Measurement 80 (5), 910-931, 2020 | 18 | 2020 |
Using ant colony optimization for sensitivity analysis in structural equation modeling WL Leite, Z Shen, K Marcoulides, CL Fisk, J Harring Structural Equation Modeling: A Multidisciplinary Journal 29 (1), 47-56, 2022 | 17 | 2022 |
Analyzing longitudinal data using natural cubic smoothing splines KM Marcoulides, J Khojasteh Structural Equation Modeling: A Multidisciplinary Journal 25 (6), 965-971, 2018 | 16 | 2018 |
Using equivalence testing to evaluate goodness of fit in multilevel structural equation models KM Marcoulides, KH Yuan International Journal of Research & Method in Education 43 (4), 431-443, 2020 | 14 | 2020 |
covsim: An r package for simulating non-normal data for structural equation models using copulas S Grønneberg, N Foldnes, KM Marcoulides Journal of Statistical Software 102, 1-45, 2022 | 12 | 2022 |
Preliminary study of the effects of BEST in CLASS—Web on young children’s social-emotional and behavioral outcomes MA Conroy, KS Sutherland, KL Granger, KM Marcoulides, K Huang, ... Journal of Early Intervention 44 (1), 78-96, 2022 | 12 | 2022 |
Model specification searches in structural equation modeling with a hybrid ant colony optimization algorithm Z Jing, H Kuang, WL Leite, KM Marcoulides, CL Fisk Structural Equation Modeling: A Multidisciplinary Journal 29 (5), 655-666, 2022 | 10 | 2022 |
A latent profile analysis of undocumented college students’ protection-oriented family communication and strengths-based psychological coping JA Kam, M Cornejo, KM Marcoulides Journal of Communication 71 (4), 646-675, 2021 | 10 | 2021 |
Detecting unobserved heterogeneity in latent growth curve models KM Marcoulides, L Trinchera Structural Equation Modeling: A Multidisciplinary Journal 26 (3), 390-401, 2019 | 9 | 2019 |
Reliability estimation in longitudinal studies using latent growth curve modeling KM Marcoulides Measurement: Interdisciplinary Research and Perspectives 17 (2), 67-77, 2019 | 8 | 2019 |