Wee Kim Wee School of Communication and Information (WKWSCI)

This dataverse is a collection of the Wee Kim Wee School of Communication and Information’s research data.

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41 to 50 of 91 Results

US telehealth.tab May 13, 2024 - Telehealth adoption in Singapore and US Tabular Data - 444.0 KB - 215 Variables, 1002 Observations - UNF:6:GqqYkvuPIqbVb1uRfN/UlA==
Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis" Jan 31, 2024 - Lwin May Oo Lwin, May Oo; Sheldenkar, Anita; Tng, Pei Ling, 2024, "Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"", https://doi.org/10.21979/N9/PCWG0U, DR-NTU (Data), V1, UNF:6:UPhTeITlQSFVpMgLVgzVmQ== [fileUNF] This is the minimal anonymised dataset underlying the findings discussed in the paper titled "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis". Data for the 2020 survey is provided in its raw form, while data for the 2022 survey is shared...
Aggregate data for 2022 Covid survey_5Jan2024_v1.tab Jan 31, 2024 - Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis" Tabular Data - 320 B - 74 Variables, 1 Observations - UNF:6:y2DIYvpxhiZXwcS3RgwRTw== Aggregate data file for the 2022 survey, comprising earliest start date and final end date of survey, gender, age, ethnicity and education variables and scores for the 10 myths examined in 2022.
Raw data for 2020 Covid survey_5Jan2024_v1.tab Jan 31, 2024 - Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis" Tabular Data - 76.5 KB - 22 Variables, 949 Observations - UNF:6:tyPVAJqnaaPh1HgmyeL9vg== Raw data file for the 2020 survey, comprising start and end dates, gender, age, ethnicity and education variables and scores for the seven myths examined in 2020.
Asset Tokenization Dec 1, 2023 - Edmund LEE Wei Jian Lee, Edmund Wei Jian; Lim, Vera Si Hui; Ng, Clement Jie Kai, 2023, "Asset Tokenization", https://doi.org/10.21979/N9/ZE0JQU, DR-NTU (Data), V1, UNF:6:eRMEDtz0uBREwAT1RD1MwA== [fileUNF] The increasing adoption of blockchain technology by Singapore’s financial and healthcare sectors have gained public attention on the potential benefits of asset tokenization—the conversion of physical assets (e.g., properties, equities) into fractional digital tokens on a blockch...
Asset Tokenization.tab Dec 1, 2023 - Asset Tokenization Tabular Data - 371.6 KB - 159 Variables, 538 Observations - UNF:6:eRMEDtz0uBREwAT1RD1MwA==
Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect Jul 21, 2023 - Benjamin Li Li, Benjamin Junting; Lee, Hui Min, 2023, "Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect", https://doi.org/10.21979/N9/KU7NNJ, DR-NTU (Data), V2, UNF:6:372dh1PCnAsI1Ph3c/1hWA== [fileUNF] This dataset contains the post-survey measures of the PANAS scale and videoconference fatigue from participants in a 2 (AR face filters: present vs. absent) X 2 (self-view: present vs. absent) dyadic between-subjects experiment, together with the analysis scripts.
Dataset Syntax.sps Jul 21, 2023 - Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect SPSS Syntax - 2.4 KB - MD5: 25a17ae13fea492c9de83c0e5fe597e2 SPSS Syntax/Analysis Script
Dataset.tab Jul 7, 2023 - Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect Tabular Data - 14.2 KB - 40 Variables, 154 Observations - UNF:6:372dh1PCnAsI1Ph3c/1hWA==
Replication Data for: Acceptance and uptake of influenza vaccines in Asia: A systematic review Sep 12, 2022 - Fann Lim Lim, Fann En Qi, 2022, "Replication Data for: Acceptance and uptake of influenza vaccines in Asia: A systematic review", https://doi.org/10.21979/N9/DXHRAU, DR-NTU (Data), V1 This dataset contains a list of the journal articles reviewed and used for the analysis of the paper, 'Acceptance and uptake of influenza vaccines in Asia: A systematic review'.

US telehealth.tab

May 13, 2024 - Telehealth adoption in Singapore and US

Tabular Data - 444.0 KB - 215 Variables, 1002 Observations -

Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"

Jan 31, 2024 - Lwin May Oo

Lwin, May Oo; Sheldenkar, Anita; Tng, Pei Ling, 2024, "Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"", https://doi.org/10.21979/N9/PCWG0U, DR-NTU (Data), V1, UNF:6:UPhTeITlQSFVpMgLVgzVmQ== [fileUNF]

This is the minimal anonymised dataset underlying the findings discussed in the paper titled "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis". Data for the 2020 survey is provided in its raw form, while data for the 2022 survey is shared...

Aggregate data for 2022 Covid survey_5Jan2024_v1.tab

Jan 31, 2024 - Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"

Tabular Data - 320 B - 74 Variables, 1 Observations -

Aggregate data file for the 2022 survey, comprising earliest start date and final end date of survey, gender, age, ethnicity and education variables and scores for the 10 myths examined in 2022.

Raw data for 2020 Covid survey_5Jan2024_v1.tab

Jan 31, 2024 - Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"

Tabular Data - 76.5 KB - 22 Variables, 949 Observations -

Raw data file for the 2020 survey, comprising start and end dates, gender, age, ethnicity and education variables and scores for the seven myths examined in 2020.

Asset Tokenization

Dec 1, 2023 - Edmund LEE Wei Jian

Lee, Edmund Wei Jian; Lim, Vera Si Hui; Ng, Clement Jie Kai, 2023, "Asset Tokenization", https://doi.org/10.21979/N9/ZE0JQU, DR-NTU (Data), V1, UNF:6:eRMEDtz0uBREwAT1RD1MwA== [fileUNF]

The increasing adoption of blockchain technology by Singapore’s financial and healthcare sectors have gained public attention on the potential benefits of asset tokenization—the conversion of physical assets (e.g., properties, equities) into fractional digital tokens on a blockch...

Asset Tokenization.tab

Dec 1, 2023 - Asset Tokenization

Tabular Data - 371.6 KB - 159 Variables, 538 Observations -

Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect

Jul 21, 2023 - Benjamin Li

Li, Benjamin Junting; Lee, Hui Min, 2023, "Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect", https://doi.org/10.21979/N9/KU7NNJ, DR-NTU (Data), V2, UNF:6:372dh1PCnAsI1Ph3c/1hWA== [fileUNF]

This dataset contains the post-survey measures of the PANAS scale and videoconference fatigue from participants in a 2 (AR face filters: present vs. absent) X 2 (self-view: present vs. absent) dyadic between-subjects experiment, together with the analysis scripts.

Dataset Syntax.sps

Jul 21, 2023 - Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect

SPSS Syntax - 2.4 KB -

SPSS Syntax/Analysis Script

Dataset.tab

Jul 7, 2023 - Replication Data for: Filters uncovered: Investigating the impact of AR face filters and self-view on videoconference fatigue and affect

Tabular Data - 14.2 KB - 40 Variables, 154 Observations -

Replication Data for: Acceptance and uptake of influenza vaccines in Asia: A systematic review

Sep 12, 2022 - Fann Lim

Lim, Fann En Qi, 2022, "Replication Data for: Acceptance and uptake of influenza vaccines in Asia: A systematic review", https://doi.org/10.21979/N9/DXHRAU, DR-NTU (Data), V1

This dataset contains a list of the journal articles reviewed and used for the analysis of the paper, 'Acceptance and uptake of influenza vaccines in Asia: A systematic review'.

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