Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Timo von Oertzen

Showing results (11-20 of 42) with videos related to

Pageof 5
Sort By:
The British Journal of Mathematical and Statistical Psychology|March 10, 2010
The effect of multiple indicators on the power to detect inter-individual differences in changeTimo von Oertzen, Christopher Hertzog, Ulman Lindenberger, et al.
Frontiers in Psychology|April 4, 2024
Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordingsHannes Diemerling, Leonie Stresemann, Tina Braun, et al.
Psychological Methods|September 7, 2006
On the power of multivariate latent growth curve models to detect correlated changeChristopher Hertzog, Ulman Lindenberger, Paolo Ghisletta, et al.
Psychology and Aging|March 23, 2011
Cross-sectional age variance extraction: what's change got to do with it?Ulman Lindenberger, Timo von Oertzen, Paolo Ghisletta, et al.
BMC Bioinformatics|October 14, 2018
Finding the mean in a partition distributionThomas J Glassen, Timo von Oertzen, Dmitry A Konovalov
Peerj|June 20, 2020
Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilitiesFlorian Schmiedek, Martin Lövdén, Timo von Oertzen, et al.
Frontiers in Digital Health|June 15, 2026
Automated emotion recognition via video-based semantic embeddingsHannes Diemerling, Patricia Kulla, Joachim Kruse, et al.
Psychometrika|August 26, 2021
A Group Comparison Test under Uncertain Group MembershipTobias A Bauer, Alexandro Folster, Tina Braun, et al.
Applied Psychological Measurement|April 26, 2021
Anchor Point Selection: Scale Alignment Based on an Inequality CriterionCarolin Strobl, Julia Kopf, Lucas Kohler, et al.
Psychological Methods|September 19, 2012
Structural equation model treesAndreas M Brandmaier, Timo von Oertzen, John J McArdle, et al.
Pageof 5

Showing results (11-20 of 42) with videos related to

Sort By:
Pageof 5
The British Journal of Mathematical and Statistical Psychology|March 10, 2010
The effect of multiple indicators on the power to detect inter-individual differences in changeTimo von Oertzen, Christopher Hertzog, Ulman Lindenberger, et al.
Frontiers in Psychology|April 4, 2024
Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordingsHannes Diemerling, Leonie Stresemann, Tina Braun, et al.
Psychological Methods|September 7, 2006
On the power of multivariate latent growth curve models to detect correlated changeChristopher Hertzog, Ulman Lindenberger, Paolo Ghisletta, et al.
Psychology and Aging|March 23, 2011
Cross-sectional age variance extraction: what's change got to do with it?Ulman Lindenberger, Timo von Oertzen, Paolo Ghisletta, et al.
BMC Bioinformatics|October 14, 2018
Finding the mean in a partition distributionThomas J Glassen, Timo von Oertzen, Dmitry A Konovalov
Peerj|June 20, 2020
Within-person structures of daily cognitive performance differ from between-person structures of cognitive abilitiesFlorian Schmiedek, Martin Lövdén, Timo von Oertzen, et al.
Frontiers in Digital Health|June 15, 2026
Automated emotion recognition via video-based semantic embeddingsHannes Diemerling, Patricia Kulla, Joachim Kruse, et al.
Psychometrika|August 26, 2021
A Group Comparison Test under Uncertain Group MembershipTobias A Bauer, Alexandro Folster, Tina Braun, et al.
Applied Psychological Measurement|April 26, 2021
Anchor Point Selection: Scale Alignment Based on an Inequality CriterionCarolin Strobl, Julia Kopf, Lucas Kohler, et al.
Psychological Methods|September 19, 2012
Structural equation model treesAndreas M Brandmaier, Timo von Oertzen, John J McArdle, et al.
Pageof 5