Feasibilty data for MAST (Movement and storytelling) trial

Cunningham, A. ORCID: 0000-0002-1199-9556, Wood, C. ORCID: 0000-0003-1492-6501, Baikousi, V., Duncan, M., Eyre, E., Crotti, M. and Martins, R., 2024. Feasibilty data for MAST (Movement and storytelling) trial. [Dataset]

Full text not available from this repository.

Abstract

Data includes:
Quantitative: Child outcome data from 214 four-five year olds. Data includes language, fundamental movement skills and self-regulation scores as well as binary data on gender and pupil premium status. School is denoted numerically. These data are presented in a csv file with sheet 2 defining the variables.
Qualitative: This includes transcripts of interviews with five teachers who delivered MAST about how feasible it is, quotes from the thematic analysis of the interviews, and field notes from observations of each teacher. All data is anonymised. These data are presented in word documents with schools and teachers denoted numerically (e.g. teacher from site 1).

Item Type: Research datasets and databases
Alternative Title: MAST Nuffield data
Description: The research data for this article is deposited on the NTU Data Archive, available to bona fide researchers with confirmed ethical consent. To arrange to access a copy of this research data set, contact the Library Research Support team: LIBResearchTeam@ntu.ac.uk
Data collection date: 11 Jul 2023
Data collection method: Testing on site in primary schools, lesson observations on site in primary schools and online interviews (Teams).
Creators: Cunningham, A., Wood, C., Baikousi, V., Duncan, M., Eyre, E., Crotti, M. and Martins, R.
Publisher: Nottingham Trent University
Place of Publication: Nottingham
Date: 2024
Identifiers:
NumberType
10.17631/rd-2024-0008-ddatDOI
1897160Other
Divisions: Schools > School of Social Sciences
Record created by: Melissa Cornwell
Date Added: 24 May 2024 13:01
Last Modified: 24 May 2024 13:32
URI: https://irep.ntu.ac.uk/id/eprint/51477

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year