Publications

I conduct research in three primary areas:

  1. 🟧 Methodological Research in Intensive Longitudinal Data
    This includes empirical articles, reviews, and tutorials focused on advancing statistical methods in psychology, with a particular focus on intensive longitudinal data analysis techniques.

  2. 🟨 Application of Novel Methods in Intensive Longitudinal Data
    This area of research demonstrates how novel methods can be applied to answer questions in applied research, showcasing their utility in analyzing intensive longitudinal data to address specific research challenges.

  3. 🟦 Practical Applications and Collaborative Research in Health, Clinical, and Developmental Psychology
    Research in this category applies intensive longitudinal data analysis methods to tackle practical problems in health, clinical, and developmental psychology. It also involves collaborative efforts aimed at identifying real-world issues and addressing them through joint projects, which further encourages me to solve these pressing practical problems in the field.

Publication Highlights

15 peer-reviewed articles (12 first-authored) published in

methodological journals:

  • Psychological Methods [IF: 7.8/10, Q1]
  • Behavior Research Methods [IF: 3.9/6.8, Q1]
  • Multivariate Behavioral Research [IF: 3.5/4.7, Q1]
  • Structural Equation Modeling: A Multidisciplinary Journal [IF: 3.2/5.3, Q1]

substantive journals:

  • Assessment [IF: 3.4/4.1, Q1]
  • Health Psychology [IF: 3.2/4.0, Q1]
  • Mindfulness [IF: 3.5/4.4, Q1]
  • Journal of Youth and Adolescence [IF: 3.6/5.5, Q1]
  • Accident Analysis and Prevention [IF: 6.2/6.9, Q1]

✚ 5 first-authored manuscripts under review/in revision

Notes: IF = impact factor [for 2024 / the past five years]; *corresponding author(s); +co-first authors.

Peer‐Reviewed Articles

  1. 🟧 Luo, X., Hu, Y.*, & Liu, H.* (2025). Timescale mismatch in intensive longitudinal data: Current issues and possible solutions based on dynamic structural equation models. Psychological Methods. Advanced Online Publication. [doi] [IF: 7.8/10, Q1]
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    - Open Data & Code : OSF Repository
  2. 🟨 Luo, X., Hu, Y.*, & Liu, H.* (2025). Dynamic prediction of depressive states using stress processes: A multilevel decision tree approach. Acta Psychologica Sinica (心理学报).[doi] [CSSCI]
    Click to expand for more details - Open Data & Code : OSF Repository
    - Download the full article : Download PDF
  3. 🟧 Luo, X., Liu, Y.*, & Liu, H.* (2025). Incorporating qualitative distinctions in within-person effect analyses [Abstract]. Multivariate Behavioral Research. [doi] [IF: 3.5/4.7, Q1]
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  4. 🟦 Luo, X.+, Wang, H.+, Xu, J., Liu, H.*, Suveg, C., & Han, Z.* (2025). Dynamic processes of parent-adolescent conflict and warmth in Chinese families: Differences between mothers and fathers. Journal of Youth and Adolescence. [doi] [IF: 3.6/5.5, Q1]
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  5. 🟨 Luo, X., Ma, J., & Hu, Y.* (2025). A dynamic bidirectional system of stress processes: Feedback loops between stressors, psychological distress, and physical symptoms. Health Psychology, 44(2), 154–165. [doi] [IF: 3.2/4.0, Q1]
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    - Open Data & Code : OSF Repository
  6. 🟨 Luo, X., Hu, Y., & Liu, H.* (2025). Assessing between- and within-person reliabilities of items and scale for daily procrastination: A multilevel and dynamic approach. Assessment, 32(1), 61–76. [doi] [IF: 3.4/4.1, Q1]
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  7. 🟦 Li, J., Luo, X., & Liu, H.* (2025). Dynamic bidirectional relation between multidimensional state mindfulness and suicidal ideation among female college students: The moderating effect of trait mindfulness. Death Studies, 49(4), 347–358. [doi] [IF: 1.8/2.7, Q2]
  8. 🟧 Luo, X., Liu, H.*, & Hu, Y.* (2024). From cross-lagged effects to feedback effects: Further insights into the estimation and interpretation of bidirectional relations. Behavior Research Methods, 56(4), 3685–3705. [doi] [IF: 3.9/6.8, Q1]
    Click to expand for more details - Download the full article : Download PDF
    - Open Data & Code : OSF Repository
  9. 🟧 Luo, X., & Liu, H.* (2024). Estimating test reliability of intensive longitudinal studies: Perspectives on multilevel structure and dynamic nature. Advances in Psychological Science (心理科学进展), 32(4), 700–714. [doi] [CSSCI]
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    - Open Data & Code : OSF Repository
  10. 🟧 Luo, X., & Hu, Y.* (2024). Temporal misalignment in intensive longitudinal data: Consequences and solutions based on dynamic structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 31(1), 118–131. [doi] [IF: 3.2/5.3, Q1]
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  11. 🟦 Luo, X., Ma, J., & Hu, Y.* (2023). Dynamic and bidirectional relation between mindfulness and procrastination among female college students. Mindfulness, 14(9), 2265–2275. [doi] [IF: 3.5/4.4, Q1]
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  12. 🟨 Luo, X., & Hu, Y.* (2023). The competitive interaction between food cravings and unhealthy snacking: An application of the predator-prey model in psychology. Current Psychology, 42(32), 28484–28492. [doi] [IF: 2.6/2.9, Q1]
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  13. 🟨 Luo, X., Ge, Y., & Qu, W.* (2023). The association between big five personality and driving behaviors: A systematic review and meta-analysis. Accident Analysis and Prevention, 183, 106968. [doi] [IF: 6.2/6.9, Q1]
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  14. 🟦 Ge, Y., Luo, X., & Qu, W.* (2023). Impact of feedback content on dangerous driving behaviors based on the triangle model of responsibility. Transportation Research Part F: Traffic Psychology and Behaviour, 93, 1–10. [doi] [IF: 4.4/5.2, Q1]
  15. 🟦 Qu, W., Luo, X., Wang, Y., & Ge, Y.* (2022). Effects of personality on driving behaviors among professional truck drivers: the mediating effect of safety climate. Transportation Research Part F: Traffic Psychology and Behaviour, 89, 289–302. [doi] [IF: 4.4/5.2, Q1]

Manuscripts Under Review or in Preparation

  1. 🟧 Luo, X., Hu, Y.*, & Liu, H.* (in revision). Examining within-person variability of each individual: How should we deal with non-varying individuals?
  2. 🟧 Luo, X., Liu, H.*, & Liu, Y.* (under review). Signs matter for random slopes: Improving heterogeneity analysis in mixed-effects models by incorporating qualitative differences.
  3. 🟧 Luo, X., Dou, J., & Liu, H.* (under review). When standard two-method measurement planned missing designs reach their limits: Time-embedded adaptations for intensive longitudinal studies.
  4. 🟧 Luo, X., Hu, Y.*, Liu, H.*, & Liu, Y. (under review). Enhancing two-stage estimation in differential equation models: A bias correction method via stochastic approximation.
  5. 🟧 Luo, X.+, Dong, J.+, Liu, H.*, & Liu, Y. (under review). Bayesian evaluation of latent variable models: A practical tutorial with the R package bleval.
  6. 🟧 Liu, Y., Luo, X., Hu, Y., & Liu, H.* (in revision). Can we obtain comparable results with fewer time points? Evaluating planned measurement missing designs in intensive longitudinal studies.
  7. 🟦 Ma, J.+, Luo, X.+, & Hu, Y.* (in revision). Positive stress mindset is vulnerable: Unpacking the internal system and external loop of dynamic stress mindset.

Conference Papers

  1. 🟧 Luo, X., Hu, Y.*, Liu, H.*, & Liu, Y. (2025, Jul). Bayesian evaluation of latent variable models: A practical tutorial with the R package bleval. In the 2025 International Meeting of the Psychometric Society.
  2. 🟧 Luo, X., Hu, Y.*, Liu, H.*, & Liu, Y. (2025, Jul). Enhancing two-stage estimation in differential equation models: A bias correction method via stochastic approximation. In the 2025 Meeting of International Society for Data Science and Analytics.
  3. 🟧 Luo, X., Liu, Y., & Liu, H.* (2024, Oct). Incorporating qualitative distinctions in within-person effect analysis. In the 2024 Annual Society of Multivariate Experimental Psychology Conference.
  4. 🟨 Luo, X., Hu, Y., & Liu, H.* (2023, July). Assessing between- and within-person reliabilities of items and scale for daily procrastination: A multilevel and dynamic approach. In the 2023 Meeting of International Society for Data Science and Analytics.
  5. 🟦 Qu, W., Luo, X., Hou, J., & Ge, Y.* (2023, July). Impact of locus of control on dangerous driving behavior and positive driving behavior in China. In 2023 International Conference on Human-Computer Interaction.