Results 201 to 210 of about 16,358 (263)

IRT‐based response style models and related methodology: Review and commentary

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract We provide a review and commentary on recent methodological research related to item response theory (IRT) modelling of response styles in psychological measurement. Our review describes the different categories of IRT models that have been proposed, their associated assumptions and extensions, and the varying purposes they can serve.
Daniel M. Bolt, Lionel Meng
wiley   +1 more source

Common pitfalls during model specification in psychophysiological interaction analysis. [PDF]

Imaging Neurosci (Camb)
He V, Tahayori B, Vaughan DN, Pardoe HR, Jackson GD, Tailby C, Abbott DF.   +6 more
europepmc   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Quantifying Direct and Indirect Effects through Joint Modeling of Terminal Events and Gap Times between Recurrent Events. [PDF]

J Data Sci
Niu F, Zheng C, Liu L.
europepmc   +1 more source

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

British 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, Hans Friedrich Köhn, Chia‐Yi Chiu   +2 more
wiley   +1 more source

A Latent Variable Approach for Causal Effect Estimation Under Misclassified Treatment Assignment. [PDF]

Stat Med
Shang Y, Chiu YH, Kong L.
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

Marginal structural models for quantifying the causal effects of exposure to ambient air pollution on progression of CT emphysema in the MESA lung and MESA air studies. [PDF]

Am J Epidemiol
Malinsky D, Wang M, Heise R, Pistenmaa CL, Hoffman EA, Sheppard L, Szpiro AA, Laine A, Angelini ED, Smith BM, Kaufman JD, Barr RG.   +11 more
europepmc   +1 more source

Bayesian inference for dynamic Q matrices and attribute trajectories in hidden Markov diagnostic classification models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley   +1 more source