Appointment: Nanyang Assistant Professor (Former)

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

341 to 350 of 1,623 Results
Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
Jan 5, 2021
Gabrieli, Giulio; Esposito, Gianluca; Goh, Raphael; Gualco, Carlotta, 2020, "Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)", https://doi.org/10.21979/N9/5IIVOM, DR-NTU (Data), V2, UNF:6:84hKz8Cp9q/N9kFMg/ErUA== [fileUNF]
Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
exploratory.ipynb
Jan 5, 2021 - Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
Jupyter Notebook - 63.7 KB - MD5: 5d4452559bce34b02fb7c608b65f0a1b
Exploratory analysis notebook
h1-posthoc.ipynb
Jan 5, 2021 - Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
Jupyter Notebook - 73.1 KB - MD5: 46d170a92b6e2fda533804b62f60e154
Post-hoc analysis for H1
h1.r
Jan 5, 2021 - Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
R Source Code - 2.3 KB - MD5: 30da6ce7226745c9fad993b3315e7695
R script for the verification of H1
H2.ipynb
Jan 5, 2021 - Influence of gender, ethnicity and age on the strenght of the Halo Effect (Aesthetics X Trustworthiness)
Jupyter Notebook - 73.5 KB - MD5: a59ebbf4ce9dbde3adecd65cd37f48d8
H2 analysis notebook
Replication Data for: Gene-environment interactions in other-race face recognition
Dec 18, 2020
Esposito, Gianluca; Setoh, Peipei, 2020, "Replication Data for: Gene-environment interactions in other-race face recognition", https://doi.org/10.21979/N9/IWGQ1M, DR-NTU (Data), V2
The other-race face recognition deficit is a robust finding in the literature on facial processing in humans. Although previous models of the other-race effect have proposed the role of experience and interracial contact, genetics have not been examined in the context of other-ra...
data_analysis.py
Dec 18, 2020 - Replication Data for: Gene-environment interactions in other-race face recognition
Python Source Code - 5.1 KB - MD5: 61e9a8084638ab759bbc391f3c8a23f4
data.csv
Dec 18, 2020 - Replication Data for: Gene-environment interactions in other-race face recognition
Comma Separated Values - 14.8 KB - MD5: ca7760819b3229d663a68c299d2a5681
figures.py
Dec 18, 2020 - Replication Data for: Gene-environment interactions in other-race face recognition
Python Source Code - 1.4 KB - MD5: 06e5ca30fc3c2394ba28b34f17314576
README.md
Dec 18, 2020 - Replication Data for: Gene-environment interactions in other-race face recognition
Markdown Text - 284 B - MD5: 76a6f5c96f293c3eb2792e9b3d0f72af
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.