School of Social Sciences (SSS)

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1,421 to 1,430 of 4,365 Results

MotorParameters.docx May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings MS Word - 10.6 KB - MD5: 1d836d1cc13d9b737c0474d9c37ea8f9
Peppa_VC.tab May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings Tabular Data - 5.0 KB - 1 Variables, 726 Observations - UNF:6:vsGSaf+G81bc1MTabsUn2Q==
video_metadata.tab May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings Tabular Data - 145 B - 5 Variables, 3 Observations - UNF:6:PhlnkFxWXmcW8haPJ6fK3w==
Red Dot Words: People in Families Apr 14, 2022 - Kinship terms in Singapore Choo, Kelly SN; Woon, Fei Ting; Styles, Suzy J, 2022, "Red Dot Words: People in Families", https://doi.org/10.21979/N9/NIW70B, DR-NTU (Data), V1 This dataset contains the complete question set for the Red Dot: People in Families survey as implemented on the Qualtrics interface. Images in this survey are adapted from characters created by Suzy J Styles for the book 'Ethics in Practice: A workbook for junior investigators i...
ChooWoonStyles2022_Kinship_ScreenExample.pdf Apr 14, 2022 - Red Dot Words: People in Families Adobe PDF - 1.4 MB - MD5: eea8edd9706f5d2528cfdcbbcc586ac0 A series of screen-captures showing an example path through the survey 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B
ChooWoonStyles2022_Kinship_TechnicalDocs_SurveyFlow.pdf Apr 14, 2022 - Red Dot Words: People in Families Adobe PDF - 3.6 MB - MD5: 64c106e0112be6a4502c7533de39f66c Technical Document: Survey flow for the survey 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B
ChooWoonStyles2022_Kinship_Technical_Qualtrics.qsf Apr 14, 2022 - Red Dot Words: People in Families Unknown - 3.9 MB - MD5: cf0f1aefcb316fe0dae94f52b1af321b Technical document: Qualtrics survey for 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B
Mental State Events in the Talk Together Study(Nanyang Technological University) Apr 12, 2022Parental descriptions of mental states with pre-school children in Singapore This Dataverse contains documentation and human coding for descriptions of mental states used by parents in the Talk Together Study
Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents' Apr 12, 2022 - Workers evaluations of co-workability and competence Beatrice, Fidelia; Styles, Suzy J, 2022, "Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents'", https://doi.org/10.21979/N9/EXK0YT, DR-NTU (Data), V1 Over the past decade, there is an increasing spotlight on the importance of diversity in the workplace, especially in Singapore (DeLancey, 2013; Goswami & Rangaswamy, 2019; Joseph & Selvaraj, 2015). While diversity in the workplace has been known to have a positive effect as it i...
Beatrice&Styles2022_Preregistration.pdf Apr 12, 2022 - Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents' Adobe PDF - 178.3 KB - MD5: f63c48f591c41d998b791775b13bb73f Preregistration documents

MotorParameters.docx

May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings

MS Word - 10.6 KB -

Peppa_VC.tab

May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings

Tabular Data - 5.0 KB - 1 Variables, 726 Observations -

video_metadata.tab

May 27, 2022 - Dataset of parent-child hyperscanning fNIRS recordings

Tabular Data - 145 B - 5 Variables, 3 Observations -

Red Dot Words: People in Families

Apr 14, 2022 - Kinship terms in Singapore

Choo, Kelly SN; Woon, Fei Ting; Styles, Suzy J, 2022, "Red Dot Words: People in Families", https://doi.org/10.21979/N9/NIW70B, DR-NTU (Data), V1

This dataset contains the complete question set for the Red Dot: People in Families survey as implemented on the Qualtrics interface. Images in this survey are adapted from characters created by Suzy J Styles for the book 'Ethics in Practice: A workbook for junior investigators i...

ChooWoonStyles2022_Kinship_ScreenExample.pdf

Apr 14, 2022 - Red Dot Words: People in Families

Adobe PDF - 1.4 MB -

A series of screen-captures showing an example path through the survey 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B

ChooWoonStyles2022_Kinship_TechnicalDocs_SurveyFlow.pdf

Apr 14, 2022 - Red Dot Words: People in Families

Adobe PDF - 3.6 MB -

Technical Document: Survey flow for the survey 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B

ChooWoonStyles2022_Kinship_Technical_Qualtrics.qsf

Apr 14, 2022 - Red Dot Words: People in Families

Unknown - 3.9 MB -

Technical document: Qualtrics survey for 'Red Dot Words: People in Families', https://doi.org/10.21979/N9/NIW70B

Mental State Events in the Talk Together Study(Nanyang Technological University)

Apr 12, 2022Parental descriptions of mental states with pre-school children in Singapore

This Dataverse contains documentation and human coding for descriptions of mental states used by parents in the Talk Together Study

Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents'

Apr 12, 2022 - Workers evaluations of co-workability and competence

Beatrice, Fidelia; Styles, Suzy J, 2022, "Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents'", https://doi.org/10.21979/N9/EXK0YT, DR-NTU (Data), V1

Over the past decade, there is an increasing spotlight on the importance of diversity in the workplace, especially in Singapore (DeLancey, 2013; Goswami & Rangaswamy, 2019; Joseph & Selvaraj, 2015). While diversity in the workplace has been known to have a positive effect as it i...

Beatrice&Styles2022_Preregistration.pdf

Apr 12, 2022 - Preregistration for 'Would you like to work with me? Workers’ evaluations of co-workability and competence for speakers with different accents'

Adobe PDF - 178.3 KB -

Preregistration documents

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