A novel nonvisual procedure for screening for nonstationarity in time series as obtained from intensive longitudinal designs

Documenti analoghi

• Detecting association changes in intensive longitudinal data in real time: An exponentially weighted moving average procedure
  di: Evelien Schat, et al.
  Pubblicazione: (2026)
• Idiographic interrater reliability measures for intensive longitudinal multirater data
  di: Tobias Koch, et al.
  Pubblicazione: (2025)
• Shedding some light on the relationship between measurement error and statistical power in multilevel models applied to intensive longitudinal designs
  di: Ginette Lafit, et al.
  Pubblicazione: (2026)
• Extending reliability to intensive longitudinal data with the Kalman filter
  di: Michael D. Hunter
  Pubblicazione: (2026)
• Investigating dynamics in attentive and inattentive responding together with their contextual correlates using a novel mixture IRT model for intensive longitudinal data
  di: Leonie V. D. E. Vogelsmeier, et al.
  Pubblicazione: (2024)