Results 221 to 230 of about 284,138 (314)

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

open access: yesBritish 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   +3 more
wiley   +1 more source

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

open access: yesBritish 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   +2 more
wiley   +1 more source

Linking speech patterns to brain structure in affective and psychotic disorders: an integrative natural language processing approach. [PDF]

open access: yesMol Psychiatry
Seuffert S   +12 more
europepmc   +1 more source

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

open access: yesBritish 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   +4 more
wiley   +1 more source

Identifiability conditions in cognitive diagnosis: Implications for Q‐matrix estimation algorithms

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The Q‐matrix of a cognitively diagnostic assessment (CDA), documenting the item‐attribute associations, is a key component of any CDA. However, the true Q‐matrix underlying a CDA is never known and must be estimated—typically by content experts.
Hyunjoo Kim   +2 more
wiley   +1 more source

Correction: Phylogenomics of angiosperms based on mitochondrial genes: insights into deep node relationships. [PDF]

open access: yesBMC Biol
Lin D   +10 more
europepmc   +1 more source

Idiographic interrater reliability measures for intensive longitudinal multirater data

open access: yesBritish 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   +4 more
wiley   +1 more source

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