Search Results - "Driver, Charles C."
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Hierarchical Bayesian Continuous Time Dynamic Modeling
Published in Psychological methods (01-12-2018)“…Continuous time dynamic models are similar to popular discrete time models such as autoregressive cross-lagged models, but through use of stochastic…”
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Dynamics of adolescents’ smartphone use and well-being are positive but ephemeral
Published in Scientific reports (25-01-2022)“…Well-being and smartphone use are thought to influence each other. However, previous studies mainly focused on one direction (looking at the effects of…”
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Dynamic modeling of practice effects across the healthy aging-Alzheimer’s disease continuum
Published in Frontiers in aging neuroscience (28-07-2022)“…Standardized tests of learning and memory are sensitive to changes associated with both aging and superimposed neurodegenerative diseases. Unfortunately,…”
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Inference with cross-lagged effects-Problems in time
Published in Psychological methods (18-07-2024)“…The interpretation of cross-effects from vector autoregressive models to infer structure and causality among constructs is widespread and sometimes…”
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The Role of Time in the Quest for Understanding Psychological Mechanisms
Published in Multivariate behavioral research (02-11-2018)“…The lead-lag structure of multivariate time-ordered observations and the possibility to disentangle between-person (BP) from within-person (WP) sources of…”
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Formalizing developmental phenomena as continuous‐time systems: Relations between mathematics and language development
Published in Child development (01-11-2023)“…We demonstrate how developmental theories may be instantiated as statistical models, using hierarchical continuous‐time dynamic systems. This approach offers a…”
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Continuous Time Structural Equation Modeling with R Package ctsem
Published in Journal of statistical software (01-04-2017)“…We introduce ctsem, an R package for continuous time structural equation modeling of panel (N > 1) and time series (N = 1) data, using full information maximum…”
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Bayesian Continuous-Time Rasch Models
Published in Psychological methods (01-08-2019)“…Continuous-time modeling offers a flexible approach to analyze longitudinal data from designs with unequally spaced measurement occasions. Measurement models…”
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Instructing Use of an Effective Strategy Improves Recognition Memory in Healthy Adults
Published in The journals of gerontology. Series B, Psychological sciences and social sciences (04-03-2023)“…Abstract Objectives Age-related memory decrements correlate with metacognitive declines, including knowledge and deployment of effective mnemonic encoding…”
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Analyzing Longitudinal Multirater Data with Individually Varying Time Intervals
Published in Structural equation modeling (02-01-2023)“…Numerous models have been proposed for the analysis of convergent validity in longitudinal multimethod designs. However, existing multimethod models are…”
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Neural specificity of scene representations is related to memory performance in childhood
Published in NeuroImage (Orlando, Fla.) (01-10-2019)“…Successful memory encoding is supported by medial temporal, retrosplenial, and occipital regions, which show developmental differences in recruitment from…”
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Process-Based psychotherapy personalization: considering causality with continuous-time dynamic modeling
Published in Psychotherapy research (17-11-2023)“…Psychotherapy can be improved by integrating the study of mediators (how it works) and moderators (for whom it works). To demonstrate this integration, we…”
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Personality and Health: Disentangling Their Between-Person and Within-Person Relationship in Three Longitudinal Studies
Published in Journal of personality and social psychology (01-03-2022)“…Personality traits and physical health both change over the life span. Theoretical models and empirical evidence suggest that these changes are related. The…”
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14
SEM Based CARMA Time Series Modeling for Arbitrary N
Published in Multivariate behavioral research (01-01-2018)“…This article explains in detail the state space specification and estimation of first and higher-order autoregressive moving-average models in continuous time…”
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