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Articles

No Need to be Discrete: A Method for Continuous Time Mediation Analysis

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Danilo Moggia, Björn Bennemann, Brian Schwartz, Miriam I. Hehlmann, Charles C. Driver & Wolfgang Lutz. (2023) Process-Based psychotherapy personalization: considering causality with continuous-time dynamic modeling. Psychotherapy Research 33:8, pages 1076-1095.
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Pablo F. Cáncer, Eduardo Estrada & Emilio Ferrer. (2023) A Dynamic Approach to Control for Cohort Differences in Maturation Speed Using Accelerated Longitudinal Designs. Structural Equation Modeling: A Multidisciplinary Journal 30:5, pages 761-777.
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Glenn D. Walters. (2019) Why are mediation effects so small?. International Journal of Social Research Methodology 22:2, pages 219-232.
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Manuel C. Voelkle, Christian Gische, Charles C. Driver & Ulman Lindenberger. (2018) The Role of Time in the Quest for Understanding Psychological Mechanisms. Multivariate Behavioral Research 53:6, pages 782-805.
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E. L. Hamaker, T. Asparouhov, A. Brose, F. Schmiedek & B. Muthén. (2018) At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study. Multivariate Behavioral Research 53:6, pages 820-841.
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Rebecca M. Kuiper & Oisín Ryan. (2018) Drawing Conclusions from Cross-Lagged Relationships: Re-Considering the Role of the Time-Interval. Structural Equation Modeling: A Multidisciplinary Journal 25:5, pages 809-823.
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Xinya Liang, Yanyun Yang & Jiajing Huang. (2018) Evaluation of Structural Relationships in Autoregressive Cross-Lagged Models Under Longitudinal Approximate Invariance:A Bayesian Analysis. Structural Equation Modeling: A Multidisciplinary Journal 25:4, pages 558-572.
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Tihomir Asparouhov, Ellen L. Hamaker & Bengt Muthén. (2018) Dynamic Structural Equation Models. Structural Equation Modeling: A Multidisciplinary Journal 25:3, pages 359-388.
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S. de Haan-Rietdijk, P. Kuppens, C. S. Bergeman, L. B. Sheeber, N. B. Allen & E. L. Hamaker. (2017) On the Use of Mixed Markov Models for Intensive Longitudinal Data. Multivariate Behavioral Research 52:6, pages 747-767.
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Pascal R. Deboeck & Aaron J. Boulton. (2016) Integration of Stochastic Differential Equations Using Structural Equation Modeling: A Method to Facilitate Model Fitting and Pedagogy. Structural Equation Modeling: A Multidisciplinary Journal 23:6, pages 888-903.
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Charles C. Driver & Martin J. Tomasik. (2023) Formalizing developmental phenomena as continuous‐time systems: Relations between mathematics and language development. Child Development.
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Julian F. Lohmann, Steffen Zitzmann, Manuel C. Voelkle & Martin Hecht. (2022) A primer on continuous-time modeling in educational research: an exemplary application of a continuous-time latent curve model with structured residuals (CT-LCM-SR) to PISA Data. Large-scale Assessments in Education 10:1.
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Min XIE, Feng LI, Yuhan LUO, Li KE, Xia WANG & Yun WANG. (2022) A developmental model of job burnout dimensions among primary school teachers: Evidence from structural equation model and cross-lagged panel network model. Acta Psychologica Sinica 54:4, pages 371-384.
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Chanler D. Hilley & Holly P. O’Rourke. (2022) Dynamic change meets mechanisms of change: Examining mediators in the latent change score framework. International Journal of Behavioral Development 46:2, pages 125-141.
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Emma Somer, Christian Gische & Milica Miočević. (2022) Methods for Modeling Autocorrelation and Handling Missing Data in Mediation Analysis in Single Case Experimental Designs (SCEDs). Evaluation & the Health Professions 45:1, pages 36-53.
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Oisín Ryan & Ellen L. Hamaker. (2021) Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality. Psychometrika 87:1, pages 214-252.
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K. J. S. Lewis, K. Tilling, K. Gordon-Smith, K. E. A. Saunders, A. Di Florio, L. Jones, I. Jones, M. C. O'Donovan & J. Heron. (2022) The dynamic interplay between sleep and mood: an intensive longitudinal study of individuals with bipolar disorder. Psychological Medicine, pages 1-10.
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Paulo Jeng Chian Suen, Pedro Starzynski Bacchi, Lais Razza, Leonardo Afonso dos Santos, Daniel Fatori, Izio Klein, Ives Cavalcante Passos, Jordan W. Smoller, Sarah Bauermeister, Alessandra Carvalho Goulart, Itamar de Souza Santos, Isabela Martins Bensenor, Paulo Andrade Lotufo, Alexandre Heeren & Andre Russowsky Brunoni. (2022) Examining the impact of the COVID-19 pandemic through the lens of the network approach to psychopathology: Analysis of the Brazilian Longitudinal Study of Health (ELSA-Brasil) cohort over a 12-year timespan. Journal of Anxiety Disorders 85, pages 102512.
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Yidan Cui, Chengwen Luo, Linghao Luo & Zhangsheng Yu. (2021) High-Dimensional Mediation Analysis Based on Additive Hazards Model for Survival Data. Frontiers in Genetics 12.
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Yuan LIU. (2022) A unification and extension on the multivariate longitudinal models: Examining reciprocal effect and growth trajectory. Advances in Psychological Science 29:10, pages 1755-1772.
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Rachel S. Rauvola, Cort W. Rudolph & Hannes Zacher. 2021. Examining and Exploring the Shifting Nature of Occupational Stress and Well-Being. Examining and Exploring the Shifting Nature of Occupational Stress and Well-Being 105 135 .
Philipp Alt, Julia Reim & Sabine Walper. (2021) Fall From Grace: Increased Loneliness and Depressiveness Among Extraverted Youth During the German COVID‐19 Lockdown. Journal of Research on Adolescence 31:3, pages 678-691.
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Anna-Lena Rottweiler & Ulrike E. Nett. (2021) A dynamic multilevel modeling approach to university students’ anxiety and hope regulation. Contemporary Educational Psychology 66, pages 101987.
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Trung Dung Tran, Emmanuel Lesaffre, Geert Verbeke & Joke Duyck. (2020) Latent Ornstein‐Uhlenbeck models for Bayesian analysis of multivariate longitudinal categorical responses. Biometrics 77:2, pages 689-701.
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Niels Vanhasbroeck, Sigert Ariens, Francis Tuerlinckx & Tim Loossens. 2021. Affect Dynamics. Affect Dynamics 213 260 .
Cynthia M. Bulik, Jonathan E. Butner, Jenna Tregarthen, Laura M. Thornton, Rachael E. Flatt, Tosha Smith, Ian M. Carroll, Brian R.W. Baucom & Pascal R. Deboeck. (2020) The Binge Eating Genetics Initiative (BEGIN): study protocol. BMC Psychiatry 20:1.
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Ellen L. Hamaker, Jeroen D. Mulder & Marinus H. van IJzendoorn. (2020) Description, prediction and causation: Methodological challenges of studying child and adolescent development. Developmental Cognitive Neuroscience 46, pages 100867.
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Sigert Ariens, Eva Ceulemans & Janne K. Adolf. (2020) Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overview. Journal of Psychosomatic Research 137, pages 110191.
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Angel M. Dzhambov, Matthew H.E.M. Browning, Iana Markevych, Terry Hartig & Peter Lercher. (2020) Analytical approaches to testing pathways linking greenspace to health: A scoping review of the empirical literature. Environmental Research 186, pages 109613.
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Jeffrey M. Albert, Youjun Li, Jiayang Sun, Wojbor A. Woyczynski & Suchitra Nelson. (2019) Continuous‐time causal mediation analysis. Statistics in Medicine 38:22, pages 4334-4347.
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Glenn D. Walters. (2019) Early Attachment and Narcissistic Entitlement: Tracing the Roots of Adolescent Proactive Criminal Thinking. Journal of Developmental and Life-Course Criminology 5:2, pages 266-285.
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Wei Wu, Ian A. Carroll & Po-Yi Chen. (2017) A single-level random-effects cross-lagged panel model for longitudinal mediation analysis. Behavior Research Methods 50:5, pages 2111-2124.
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Glenn D. Walters. (2017) Sibling Delinquency as a Risk Factor for Future Offending. Youth Violence and Juvenile Justice 16:4, pages 343-357.
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Haran Sened, Gal Lazarus, Marci E.J. Gleason, Eshkol Rafaeli & William Fleeson. (2018) The Use of Intensive Longitudinal Methods in Explanatory Personality Research. European Journal of Personality 32:3, pages 269-285.
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Odd O. Aalen, Jon Michael Gran, Kjetil Røysland, Mats Julius Stensrud & Susanne Strohmaier. (2018) Feedback and Mediation in Causal Inference Illustrated by Stochastic Process Models. Scandinavian Journal of Statistics 45:1, pages 62-86.
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Pascal R. Deboeck, Kristopher J. Preacher & David A. Cole. 2018. Continuous Time Modeling in the Behavioral and Related Sciences. Continuous Time Modeling in the Behavioral and Related Sciences 179 203 .
Oisín Ryan, Rebecca M. Kuiper & Ellen L. Hamaker. 2018. Continuous Time Modeling in the Behavioral and Related Sciences. Continuous Time Modeling in the Behavioral and Related Sciences 27 54 .
Silvia de Haan-Rietdijk, Manuel C. Voelkle, Loes Keijsers & Ellen L. Hamaker. (2017) Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data. Frontiers in Psychology 8.
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Caterina Fiorilli, Alessandro Pepe, Ilaria Buonomo & Ottavia Albanese. (2017) At-Risk Teachers: The Association Between Burnout Levels and Emotional Appraisal Processes. The Open Psychology Journal 10:1, pages 127-139.
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Glenn D. Walters & Jon T. Mandracchia. (2017) Testing criminological theory through causal mediation analysis: Current status and future directions. Journal of Criminal Justice 49, pages 53-64.
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Ellen L. Hamaker & Marieke Wichers. (2017) No Time Like the Present. Current Directions in Psychological Science 26:1, pages 10-15.
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Michela Cortini, Monica Pivetti & Sara Cervai. (2016) Learning Climate and Job Performance among Health Workers. A Pilot Study. Frontiers in Psychology 7.
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