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A Continuous-Time Approach to Intensive Longitudinal Data: What, Why, and How?
16 references·2 citing·44 second hop
A Continuous-Time Approach to Intensive Longitudinal Data: What, Why, and How? (2018)A Continuous-Time Approach to Intensive L…Continuous Time Structural Equation Modeling with R Package ctsem (2017)Continuous Time Structural Eq…Critical Slowing Down as a Personalized Early Warning Signal for Depression (2016)Critical Slowing Down as a Pe…Assessing Temporal Emotion Dynamics Using Networks (2016)Assessing Temporal Emotion Dy…Revealing the dynamic network structure of the Beck Depression Inventory-II (2014)Revealing the dynamic network…Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research (2013)Intensive Longitudinal Method…A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data (2013)A Network Approach to Psychop…Getting stuck in depression: The roles of rumination and emotional inertia (2012)Getting stuck in depression: …Emotional inertia prospectively predicts the onset of depressive disorder in adolescence. (2011)Emotional inertia prospective…Investigating Causal Relations by Econometric Models and Cross-Spectral Methods (2010)Investigating Causal Relation…Emotional Inertia and Psychological Maladjustment (2010)Emotional Inertia and Psychol…Ruminative self-focus and negative affect: An experience sampling study. (2008)Ruminative self-focus and neg…Statistical Modeling of the Individual: Rationale and Application of Multivariate Stationary Time Series Analysis (2005)Statistical Modeling of the I…Emotion as a Thermostat: Representing Emotion Regulation Using a Damped Oscillator Model. 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(1980)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Mental Disorders as Causal Systems (2014)How well do network models predict observations? On the importance of predictability in network models (2017)A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. (2019)Causal Ordering and Identifiability (1977)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site (2009)Testing for Granger non-causality in heterogeneous panels (2012)Society and the Adolescent Self-Image (1965)The CES-D Scale (1977)Why Do People Regulate Their Emotions? A Taxonomy of Motives in Emotion Regulation (2015)At the Frontiers of Modeling Intensive Longitudinal Data: Dynamic Structural Equation Models for the Affective Measurements from the COGITO Study (2018)The Principles of Psychology (1891)The Psychology of the Child (1969)Understanding Figurative Language (2001)Your Highness: Vertical Positions as Perceptual Symbols of Power. (2005)Spontaneous Inferences, Implicit Impressions, and Implicit Theories (2007)Evaluating Conceptual Metaphor Theory (2011)What kinds of things are psychiatric disorders? (2010)Network Analysis: An Integrative Approach to the Structure of Psychopathology (2013)Emotion dynamics (2017)Exploring the idiographic dynamics of mood and anxiety via network analysis. (2017)Moving From Static to Dynamic Models of the Onset of Mental Disorder (2017)Un sistema de clasificación de los diseños de investigación en psicología (2013)Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. 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References

  • 1969Investigating Causal Relations by Econometric Models and Cross-spectral Methods22,971 cited
  • 2010Investigating Causal Relations by Econometric Models and Cross-Spectral Methods4,760 cited
  • 2013Intensive Longitudinal Methods: An Introduction to Diary and Experience Sampling Research2,046 cited
  • 2000State-Space Models with Regime-Switching: Classical and Gibbs Sampling Approaches with Applications1,153 cited
  • 2004Why the Sunny Side Is Up754 cited
  • 2010Emotional Inertia and Psychological Maladjustment729 cited
  • 2013A Network Approach to Psychopathology: New Insights into Clinical Longitudinal Data687 cited
  • 2008Ruminative self-focus and negative affect: An experience sampling study.432 cited
  • 2016Critical Slowing Down as a Personalized Early Warning Signal for Depression397 cited
  • 2014Revealing the dynamic network structure of the Beck Depression Inventory-II371 cited
  • 2011Emotional inertia prospectively predicts the onset of depressive disorder in adolescence.279 cited
  • 2012Getting stuck in depression: The roles of rumination and emotional inertia278 cited
  • 2016Assessing Temporal Emotion Dynamics Using Networks237 cited
  • 2017Continuous Time Structural Equation Modeling with R Package ctsem236 cited

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2005
Statistical Modeling of the Individual: Rationale and Application of Multivariate Stationary Time Series Analysis
219 cited
  • 2005Emotion as a Thermostat: Representing Emotion Regulation Using a Damped Oscillator Model.218 cited
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    • 2020Using person-specific networks in psychotherapy: challenges, limitations, and how we could use them anyway61 cited
    • 2020Inspecting Gradual and Abrupt Changes in Emotion Dynamics With the Time-Varying Change Point Autoregressive Model54 cited