journal article Apr 11, 2026

Arousal and valence differentially shape temporal memory for naturalistic events

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References
32
[1]
Fitting Linear Mixed-Effects Models Using lme4

Douglas Bates, Martin Mächler, Ben Bolker et al.

Journal of Statistical Software 10.18637/jss.v067.i01
[14]
lmerTest Package: Tests in Linear Mixed Effects Models

Alexandra Kuznetsova, Per B. Brockhoff, Rune H. B. Christensen

Journal of Statistical Software 10.18637/jss.v082.i13
[15]
Emotional modulation of interval timing and time perception

Jessica I. Lake, Kevin S. LaBar, WARREN H. MECK

Neuroscience & Biobehavioral Reviews 10.1016/j.neubiorev.2016.03.003
[16]
Lenth R. V. (2024). Estimated marginal means aka least-squares means (Version 1.11.1) [Computer software]. https://CRAN.R-project.org/package=emmeans
[21]
PsychoPy2: Experiments in behavior made easy

Jonathan Peirce, Jeremy R. Gray, Sol Simpson et al.

Behavior Research Methods 10.3758/s13428-018-01193-y
[23]
R Core Team. (2023). R: A language and environment for statistical computing [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
[26]
A circumplex model of affect.

James A. Russell

Journal of Personality and Social Psychology 10.1037/h0077714
[29]
AIC model selection using Akaike weights

Eric-Jan Wagenmakers, Simon Farrell

Psychonomic Bulletin & Review 10.3758/bf03206482
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Details
Published
Apr 11, 2026
Pages
1-10
Funding
National Science Foundation Award: 2123474
National Institute of Mental Health
Cite This Article
David F. Gregory, Ziyuan Chen, Bailey C. Spangler, et al. (2026). Arousal and valence differentially shape temporal memory for naturalistic events. Memory, 1-10. https://doi.org/10.1080/09658211.2026.2656724
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