1 to 6 of 6 Results
Oct 9, 2020
Chen, Jiayu; Qiu, Lin; Ho, Moon-Ho Ringo, 2020, "Replication data for: A meta-analysis of linguistic markers of extraversion: Positive emotion and social process words", https://doi.org/10.21979/N9/AUAVFQ, DR-NTU (Data), V1, UNF:6:SZVPiZzu+D4QCuw7MTfDMA== [fileUNF]
Dataset for the paper "A Meta-analysis of Linguistic Markers of Extraversion: Positive Emotion and Social Process Words" |
Oct 9, 2020 -
Replication data for: A meta-analysis of linguistic markers of extraversion: Positive emotion and social process words
Tabular Data - 14.9 KB - 25 Variables, 46 Observations - UNF:6:SZVPiZzu+D4QCuw7MTfDMA==
Dataset for the paper. |
Oct 9, 2020 -
Replication data for: A meta-analysis of linguistic markers of extraversion: Positive emotion and social process words
MS Word - 14.3 KB -
MD5: e368350f6ccf9297017eb41a3897b6d8
An introduction to all variables listed in the excel. |
Jun 3, 2020
Sam, Yan Ting Joyce; Qiu, Lin; Phong, Mai Ky, 2020, "Measuring ageism using VR", https://doi.org/10.21979/N9/2OKRRE, DR-NTU (Data), V4, UNF:6:6qO4xYnrYDj54PE+gWlrjw== [fileUNF]
This dataset consists of the full experimental data for the project: Measuring ageism using VR. The purpose of this project is to examine if virtual reality (VR) can be a novel tool for measuring people’s prejudice towards the elderly (i.e., ageism). Using virtual avatars of diff... |
May 26, 2020 -
Measuring ageism using VR
Plain Text - 10.0 KB -
MD5: 5ba7b12137400b2b2bdf6e49f88f4530
README file indicating all variable labels (i.e., what each variable in the dataset means) |
May 26, 2020 -
Measuring ageism using VR
Tabular Data - 17.4 KB - 171 Variables, 23 Observations - UNF:6:6qO4xYnrYDj54PE+gWlrjw==
Complete dataset |
