Results 21 to 30 of about 36,070 (257)
The Temporal Ordering of Motivation and Self-Control: A Cross-Lagged Effects Model [PDF]
Mechanisms leading to cognitive energy depletion in performance settings such as high-level sports highlight likely associations between individuals’ self-control capacity and their motivation. Investigating the temporal ordering of these concepts combining self-determination theory and psychosocial self-control theories, the authors hypothesized that ...
Gro, Jordalen +3 more
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Using Instrumental Variables to Measure Causation over Time in Cross-Lagged Panel Models [PDF]
Cross-lagged panel models (CLPMs) are commonly used to estimate causal influences between two variables with repeated assessments. The lagged effects in a CLPM depend on the time interval between assessments, eventually becoming undetectable at longer intervals.
Madhurbain Singh +12 more
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What Comes First Metacognition or Negative Emotion? A Test of Temporal Precedence
The Self-Regulatory Executive Function model predicts that emotional symptoms and metacognition can causally affect each other. Crucially, for the model metacognition must cause emotion disorder symptoms. Therefore, in time-series data involving repeated
Lora Capobianco +5 more
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Many methods have been developed to infer reciprocal relations between longitudinally observed variables. Among them, the general cross-lagged panel model (GCLM) is the most recent development as a variant of the cross-lagged panel model (CLPM), while the random-intercept CLPM (RI-CLPM) has rapidly become a popular approach.
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Three Extensions of the Random Intercept Cross-Lagged Panel Model [PDF]
The random intercept cross-lagged panel model (RI-CLPM) is rapidly gaining popularity in psychology and related fields as a structural equation modeling (SEM) approach to longitudinal data. It decomposes observed scores into within-unit dynamics and stable, between-unit differences.
Jeroen D. Mulder, Ellen L. Hamaker
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Objective: Generalized anxiety disorder (GAD) is a chronic and disabling disorder associated with various impairments and shows a significant prevalence in the worldwide and Brazilian populations.
Daniel Santos Martins +2 more
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How to compare cross-lagged associations in a multilevel autoregressive model.
By modeling variables over time it is possible to investigate the Granger-causal cross-lagged associations between variables. By comparing the standardized cross-lagged coefficients, the relative strength of these associations can be evaluated in order to determine important driving forces in the dynamic system. The aim of this study was twofold: first,
Schuurman, Noémi K. +3 more
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The Bidirectional Temporal Causal Association Study between Dysglycaemia and Non-alcoholic Fatty Liver Disease: Based on the Beijing Health Management Cohort [PDF]
Background Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the world, and the prevalence of NAFLD in China has continued to increase over the past 20 years.
NI Xuetong, AHEYEERKE Halengbieke, TANG Jianmin, CAO Tengrui, TAO Lixin, ZHENG Deqiang, LI Qiang, HAN Yumei, YANG Xinghua
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A Critique of the Random Intercept Cross-Lagged Panel Model
The random intercept cross-lagged panel model (RI-CLPM) is an extension of the traditional cross-lagged panel model (CLPM) that allows controlling for stable trait factors when estimating cross-lagged effects. It has been argued that the RI-CLPM more appropriately accounts for trait-like, time-invariant stability of many psychological constructs and ...
Oliver Lüdtke, Alexander Robitzsch
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Cross-lagged network models do not prove causality and may be evaluated through triangulation
The cross-lagged panel network (CLPN) model is a version of the classic cross-lagged panel model (CLPM). The CLPN can be used to model a large number of cross-lagged effects between nodes (such as symptoms of ill health) across two waves of measurement ...
Kimmo Sorjonen +2 more
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