Results 191 to 200 of about 97,715 (338)

Modelling non‐linear psychological processes: Reviewing and evaluating non‐parametric approaches and their applicability to intensive longitudinal data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid, Leonie V. D. E. Vogelsmeier, Joris Mulder, Joran Jongerling   +3 more
wiley   +1 more source

Identifying delayed human response to external risks: an econometric analysis of mobility change during a pandemic. [PDF]

BMC Med Res Methodol
Zhang G, Osi A, Ghaffarzadegan N, Rahmandad H, Xu R.   +4 more
europepmc   +1 more source

Detecting Critical Change in Dynamics Through Outlier Detection with Time‐Varying Parameters

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Intensive longitudinal data are often found to be non‐stationary, namely, showing changes in statistical properties, such as means and variance‐covariance structures, over time. One way to accommodate non‐stationarity is to specify key parameters that show over‐time changes as time‐varying parameters (TVPs). However, the nature and dynamics of
Meng Chen, Michael D. Hunter, Sy‐Miin Chow   +2 more
wiley   +1 more source

Public health policy pathways for balancing ecological challenges, healthcare systems, and social development in rapidly urbanizing economies. [PDF]

Front Public Health
Ge X, Wu H.
europepmc   +1 more source

An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The stationary autoregressive model forms an important base of time‐series analysis in today's psychology research. Diverse nonstationary extensions of this model are developed to capture different types of changing temporal dynamics. However, researchers do not always have a solid theoretical base to rely on for deciding a‐priori which of ...
Yong Zhang, Anja F. Ernst, Ginette Lafit, Ward B. Eiling, Laura F. Bringmann   +4 more
wiley   +1 more source

Explaining COVID-19 dynamics through user activity data from digital platforms with Yandex's self-isolation index as a case study. [PDF]

Sci Rep
Żebrowski P, Boyarshinov G, Odintsova A, Rovenskaya E.   +3 more
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Interrater reliability plays a crucial role in various areas of psychology. In this article, we propose a multilevel latent time series model for intensive longitudinal data with structurally different raters (e.g., self‐reports and partner reports).
Tobias Koch, Miriam F. Jaehne, Michaela Riediger, Antje Rauers, Jana Holtmann   +4 more
wiley   +1 more source

Does road safety cointegrate with socio-economic conditions in rich developing countries? [PDF]

PLoS One
Alfaki IA, Grivna M, El Sadig M.
europepmc   +1 more source

Climate shocks, democratization and (a culture of) cooperation

Economica, EarlyView.
Abstract While the direct economic effects of adverse climate shocks are well known, their indirect institutional impact is still poorly understood. To clarify this, we test the idea that adverse climate shocks push time‐inconsistent elites to enact inclusive political institutions, and non‐elites to embrace strong norms of cooperation.
Giacomo Benati, Carmine Guerriero
wiley   +1 more source

Application of empirical likelihood ratio test in AR(1) time series model for PM_2.5 forecasting in Guwahati city of Assam. [PDF]

Sci Rep
Serrao V, Poojari S, B I, Rao KA.
europepmc   +1 more source