Publications
Peer-reviewed work and public manuscript versions, linked through one enduring record for each study.
32 records
No records match these filters. Try a different term or clear the filters.
Structural Equation Modeling: A Multidisciplinary Journal
A practical tutorial on conditional mediation analysis with generalized structured component analysis, covering method, simulation, and software.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2026.2674637
Figure 1 · View figuresPLOS One, 21(8), e0352880
Bayesian networks and interpretable summary indexes are applied collaboratively to questions about recidivism and cognitive emotion regulation.
Journal DOI: 10.1371/journal.pone.0352880 Open access
Preprint DOI: 10.31234/osf.io/c7zkb_v1
Figure 2 · View figuresStructural Equation Modeling: A Multidisciplinary Journal, 33(4), 638–647
Power analysis for generalized structured component analysis, with implementation guidance using GSCA Pro.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2026.2622404 Open access
Figure 10 · View figuresStructural Equation Modeling: A Multidisciplinary Journal, 32(5), 753–765
A methodological comparison of approaches to testing interactions between components.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2025.2497088 Open access
Figure 3 · View figuresFrontiers in Psychiatry, 16, 1613322
Collaborative empirical research connecting genetic variation, trauma, cortical structures, and PTSD severity.
Author’s introduction (LinkedIn)
Journal DOI: 10.3389/fpsyt.2025.1613322 Open access
Figure 2 · View figuresStructural Equation Modeling: A Multidisciplinary Journal, 32(6), 1057–1068
Regularization for structural equation models that contain both factors and components.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2025.2537946
Structural Equation Modeling: A Multidisciplinary Journal, 31(2), 265–279
Interpretable composite indexes within an artificial neural network modeling framework.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2023.2234086
eLife, 12, RP88117
Collaborative research on gene–environment pathways, cognitive development, and psychotic-like experiences.
Journal DOI: 10.7554/eLife.88117 Open access
Preprint DOI: 10.7554/eLife.88117.2
Preprint DOI: 10.7554/eLife.88117.3
Figure 3 · View figuresPsychometrika, 89(1), 241–266
Convex components provide interpretable composite indexes within generalized structured component analysis.
Author’s introduction (LinkedIn)
Journal DOI: 10.1007/s11336-023-09944-3 Open access
Figure 3 · View figuresStructural Equation Modeling: A Multidisciplinary Journal, 31(4), 696–711
A tutorial introducing GSCA Pro and models with factors, components, or both.
Journal DOI: 10.1080/10705511.2023.2272294 Open access
Figure 4 · View figuresJournal of Product Innovation Management, 41(6), 1100–1117
How choices among SEM methods can influence the conclusions drawn from the same model and data.
Journal DOI: 10.1111/jpim.12738 Open access
Figure 4 · View figuresEuropean Journal of Marketing, 57(6), 1641–1661
A comparison of component-based SEM approaches with attention to out-of-sample prediction.
Journal DOI: 10.1108/EJM-07-2020-0542
European Business Review, 35(3), 261–284
An introduction to integrated GSCA for models with both factors and components.
Journal DOI: 10.1108/EBR-11-2022-0224
Structural Equation Modeling: A Multidisciplinary Journal, 30(3), 364–377
A methodological contribution to structural equation modeling using a data matrix-based approach.
Author’s introduction (LinkedIn)
Journal DOI: 10.1080/10705511.2022.2126360
British Journal of Mathematical and Statistical Psychology, 75(2), 220–251
A comparison of factor and component methods under different construct representations.
Journal DOI: 10.1111/bmsp.12255
Structural Equation Modeling: A Multidisciplinary Journal, 29(4), 611–619
Prediction-oriented model search in generalized structured component analysis.
Journal DOI: 10.1080/10705511.2022.2057315
Management International Review, 62, 569–609
Evaluation and use of model fit criteria for integrated GSCA.
Journal DOI: 10.1007/s11575-022-00479-w
PLOS One, 16(3), e0247592
A multivariate methodological framework for relationships among genetic, brain, behavioral, and cognitive measurements.
Journal DOI: 10.1371/journal.pone.0247592 Open access
Figure 2 · View figuresPsychological Methods, 26(3), 273–294
An integrated approach to structural equation models containing factors and components.
Journal DOI: 10.1037/met0000336
Journal of Travel & Tourism Marketing, 38(7), 666–681
Collaborative empirical research on sensory impressions, perceived value, and tourist behavior.
Journal DOI: 10.1080/10548408.2021.1985042
Behaviormetrika, 47(1), 243–272
A comparison of GSCA and partial least squares path modeling under variance-based SEM conditions.
Journal DOI: 10.1007/s41237-019-00098-0
Journal of Marketing Analytics, 8, 189–202
Assessment of overall model fit indexes in generalized structured component analysis.
Journal DOI: 10.1057/s41270-020-00089-1 Open access
Figure 2 · View figuresPsychometrika, 85, 947–972
Global least squares estimation as a full-information approach to path modeling.
Journal DOI: 10.1007/s11336-020-09733-2
Sustainability, 12(20), 8496
Collaborative empirical research on education policy and the housing market.
Journal DOI: 10.3390/su12208496 Open access
Figure 2 · View figuresFrontiers in Psychology, 10, 2215
Monte Carlo evaluation of bootstrap confidence interval methods for GSCA.
Journal DOI: 10.3389/fpsyg.2019.02215 Open access
Figure 2 · View figuresMultivariate Behavioral Research, 54(4), 505–513
Out-of-bag prediction error as a cross-validation index for GSCA.
Journal DOI: 10.1080/00273171.2018.1540340
Psychiatry Investigation, 16(4), 262–269
A collaborative review of machine learning approaches to mental-illness classification.
Journal DOI: 10.30773/pi.2018.12.21.2 Open access
Psychiatry Investigation, 15(11), 1053–1063
Collaborative development and evaluation of a Korean anxiety screening instrument.
Journal DOI: 10.30773/pi.2018.09.27.2 Open access
Figure 1 · View figuresThe Korea Spatial Planning Review, 95, 3–20
An empirical study of relationships among interest rates, consumer sentiment, and the housing market.
Journal DOI: 10.15793/kspr.2017.95..001
Public research pipeline
Publicly shared manuscript versions make developing research available for discussion. A preprint version may differ from a later peer-reviewed article. When journal publication is verified, the same record moves into the peer-reviewed list and keeps its earlier versions.
A public preprint develops and evaluates data-matrix-based tests of overall and nested-model fit in confirmatory factor analysis, using Monte Carlo simulation and an empirical illustration.
Preprint DOI: 10.31234/osf.io/wav2b_v1
Collaborative longitudinal research uses machine learning, regression, and generalized structured component analysis to study psychological resources, genetic vulnerability, and depressive symptoms in later life.
Preprint DOI: 10.21203/rs.3.rs-9990161/v1
Figure 3 · View figuresA public manuscript combining Convex GSCA summary indexes with Bayesian networks to model clinicians’ treatment recommendations, illustrated with insomnia-related decisions.
Preprint DOI: 10.31234/osf.io/wfn5b_v1
