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Psychological Methods
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April 7, 2025
Zero inflation in intensive longitudinal data: Why is it important and how should we deal with it?
Sijing S J Shao, Ziqian Xu, Qimin Liu, et al.
Psychological Methods
|
May 12, 2025
Episode-contingent experience-sampling designs for accurate estimates of autoregressive dynamics
Jordan Revol, Sigert Ariens, Ginette Lafit, et al.
Psychological Methods
|
September 25, 2025
Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
R Noah Padgett, Grant B Morgan, Tim Lomas
Psychological Methods
|
August 7, 2025
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models
Daniel McNeish, Andrea Savord
Psychological Methods
|
August 11, 2025
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models
Benjamin Brindle, Thomas Derrick Hull, Matteo Malgaroli, et al.
Psychological Methods
|
September 8, 2025
On the uncanny relationship between nonnormality and moderated multiple regression
Oscar L Olvera Astivia, Xijuan Zhang, Edward Kroc, et al.
Psychological Methods
|
October 27, 2025
A gain-probability way to interpret correlation coefficients: A tutorial
David Trafimow
Psychological Methods
|
July 31, 2025
An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges
Rosa Lavelle-Hill, Gavin Smith, Hannah Deininger, et al.
Psychological Methods
|
August 7, 2025
Integration of latent space and confirmatory factor analysis to explain unexplained person-item interactions
Inhan Kang, Minjeong Jeon
Psychological Methods
|
August 12, 2014
Modeling sparsely clustered data: design-based, model-based, and single-level methods
Daniel M McNeish
Page
of 122
Search research articles
Search
Showing results (721-730 of 1,213) with videos related to
Sort By:
Page
of 122
Psychological Methods
|
April 7, 2025
Zero inflation in intensive longitudinal data: Why is it important and how should we deal with it?
Sijing S J Shao, Ziqian Xu, Qimin Liu, et al.
Psychological Methods
|
May 12, 2025
Episode-contingent experience-sampling designs for accurate estimates of autoregressive dynamics
Jordan Revol, Sigert Ariens, Ginette Lafit, et al.
Psychological Methods
|
September 25, 2025
Regularizing threshold priors with sparse response patterns in Bayesian factor analysis with categorical indicators
R Noah Padgett, Grant B Morgan, Tim Lomas
Psychological Methods
|
August 7, 2025
Exploring how many categories are needed to model ordinal intensive longitudinal data as continuous with dynamic structural equation models
Daniel McNeish, Andrea Savord
Psychological Methods
|
August 11, 2025
VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models
Benjamin Brindle, Thomas Derrick Hull, Matteo Malgaroli, et al.
Psychological Methods
|
September 8, 2025
On the uncanny relationship between nonnormality and moderated multiple regression
Oscar L Olvera Astivia, Xijuan Zhang, Edward Kroc, et al.
Psychological Methods
|
October 27, 2025
A gain-probability way to interpret correlation coefficients: A tutorial
David Trafimow
Psychological Methods
|
July 31, 2025
An explainable artificial intelligence handbook for psychologists: Methods, opportunities, and challenges
Rosa Lavelle-Hill, Gavin Smith, Hannah Deininger, et al.
Psychological Methods
|
August 7, 2025
Integration of latent space and confirmatory factor analysis to explain unexplained person-item interactions
Inhan Kang, Minjeong Jeon
Psychological Methods
|
August 12, 2014
Modeling sparsely clustered data: design-based, model-based, and single-level methods
Daniel M McNeish
Page
of 122