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Reducing Inequality Through Early Childhood Education in Thailand Project (RIECE)
Reducing Inequality Through Early Childhood Education in Thailand Project logo
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Sample details

RIECE Thailand is a longitudinal study applying the High Scope educational curriculum in aiming to improve early childhood education across rural Thailand. Beginning in 2015, the data is collected annually, and the project currently covers 94 villages across Thailand. A total of 1,666 participants aged between 0 to 6 years old were included at baseline.

Study design
Cohort

Number of participants at first data collection

1,666 (participants)

Age at first data collection

0 - 6 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Children and young people
Villages
Dataset details

Country

Thailand

Year of first data collection

2015

Primary Institutions

Mahasarakham University (มหาวิทยาลัยมหาสารคาม, MSU)

Office of the Higher Education Commission (สำนักงานคณะกรรมการการอุดมศึกษา, OHEC)

Research Institute for Policy Evaluation and Design (สถาบันวิจัยเพื่อการประเมินและออกแบบนโยบาย, RIPED)

Subdistrict Administrative Organization (SAO)

University of the Thai Chamber of Commerce (มหาวิทยาลัยหอการค้าไทย, UTCC)

Links

riece.org/about/research/

riped.org/data/riece-panel-data/

riped.org/data/data-use-agreement/

Profile paper DOI
Not available

Funders

Equitable Education Fund (EEF)

Muang Roi Et

Office of National Education Standards and Quality Development (ONESQD)

University of the Thai Chamber of Commerce (UTCC)

Ongoing?
Yes

Data types collected

dataLinkage
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Secondary data
  • Self-completed questionnaire – paper or computer assisted
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • Healthcare data
Features

Engagement

  • Community engagement
  • Keywords

    Cognitive assessments
    Education
    Environmental exposures
    Family environment and factors
    Human development
    Rural areas
    School readiness
    Social conditions and environment
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