Early Learning Outcomes Measure 2016
South Africa, 2016
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Oct 11, 2017
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Jul 25, 2020
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Identification
Survey ID Number
zaf-ie-elom-2016-v1.1
Title
Early Learning Outcomes Measure 2016
Country
| Name | Country code |
|---|---|
| South Africa | zaf |
Study type
Child Assessment Survey
Abstract
In 2015, Innovation Edge commissioned the development of South Africa's first national-level preschool child assessment tool. Finalized in 2016, the primary purpose of the Early Learning Outcomes Measure (ELOM) (www.elom.org.za) is to provide the country with a national instrument to fairly assess children age 50-69 months from all socio-economic and cultural backgrounds. With this tool, we will be able to monitor early learning program outcomes, guide program improvement, and test program effectiveness. This study is conducted to assist Innovation Edge with the 2nd phase in the process for the development of ELOM--Age validation. In this study, ELOM tools was administered to children enrolled in public schools at the commencement of their Grade R year in 2016, in schoolf of all five quintiles in three provinces. The goal of the ELOM age validation process was to construct a sample that was likely to be as representative as possible of children eligible to enter Grade R in January 2016, drawn from across South Africa's socio-economic distribution, and including five major language groups.
The ELOM includes both direct assessment of children's performance as well as an assessment of the child's social and emotional functioning and orientation to tasks. The ELOM Direct Assessment consists of 23 items measuring indicators of the child's early development in five domains:
Gross Motor Development
Fine Motor Coordination and Visual Motor Integration
Emergent Numeracy and Mathematics
Cognition and Executive Functioning
Emergent Literacy and Language
The ELOM includes both direct assessment of children's performance as well as an assessment of the child's social and emotional functioning and orientation to tasks. The ELOM Direct Assessment consists of 23 items measuring indicators of the child's early development in five domains:
Gross Motor Development
Fine Motor Coordination and Visual Motor Integration
Emergent Numeracy and Mathematics
Cognition and Executive Functioning
Emergent Literacy and Language
Kind of Data
Observation data/ratings [obs]
Unit of Analysis
Individuals
Version
Version Description
Edited, anonymised data for public distribution
Version Date
2017-02-17
Version Notes
Version 1 was deposited with DataFirst in 20170217. Version 1.1 has minor changes to value labels and includes ID numbers generated by Innovation Edge for those schools which do not have EMIS numbers.
Scope
Notes
ELOM data includes data on the child's school: School setting (province, rural/urban, traditional), school quintile, and school name. Data on each child includes the child's age, home language, height, and child performance scores collected using the Early Learning Outcomes Measure (ELOM) tool developed by the researchers. This tool allows for both direct assessment of children’s performance as well as an assessment of the child’s social and emotional functioning and orientation to tasks. Direct Assessment consists of 23 items measuring indicators of the child’s early development in five domains which are internationally accepted recognised as key learning and developmental areas. These include: Gross motor development, fine motor coordination and visual motor integration, emergent numeracy and mathematics, cognition and executive functioning, and emergent literacy and language. The child's Task Orientation is also rated by the assessor during direct assessment. The child’s capacity for self-care (toileting), relations with peers and adults, and emotional functioning are measured with a Teacher Assessment.
Keywords
| Keyword |
|---|
| Early child development |
| Early learning |
Coverage
Geographic Coverage
It is envisioned that the ELOM will be applied to children from a range of cultural and socio-economic settings. However, as finances did not permit a national sample, three provinces
were chosen for the study. The sample for this study then aimed to be representative of public school Grade R students in the target language groups who were between the ages of 54-66 months in selected school districts in North West (Setswana speakers only), the Western Cape (English, isiXhosa and Afrikaans speakers) and KwaZulu Natal (isiZulu speakers only).
were chosen for the study. The sample for this study then aimed to be representative of public school Grade R students in the target language groups who were between the ages of 54-66 months in selected school districts in North West (Setswana speakers only), the Western Cape (English, isiXhosa and Afrikaans speakers) and KwaZulu Natal (isiZulu speakers only).
Geographic Unit
The lowest level of geographic aggregation in the data is district.
Universe
Desired target population is Grade R children in South African public schools between the ages of 54-66 months.
Producers and sponsors
Primary investigators
| Name |
|---|
| Innovation Edge |
Producers
Funding Agency/Sponsor
| Name | Role |
|---|---|
| D.G. Murray Trust | Funder |
Sampling
Sampling Procedure
A two-stage clustered sample design was employed. In the first stage, and in each district, probability proportional to Grade R population size sampling was used to randomly select schools within each of the five School Quintile bands. Two schools in traditional, more rural areas in each of North West and KwaZulu-Natal were recruited independently of this exercise to explore the influence of more “traditional” approaches to child rearing. In the second stage, learners were selected within Grade R classes using simple random sampling. Minimum of nine children per school were selected per cluster.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2016-01-25 | 2016-03-03 |
Data Collection Mode
Computer Assisted Personal Interview [capi]
Supervision
Data collection for the project was granted ethics approval by the Ethics Review Committee of the Faculty of Humanities at the University of Cape Town on 11 November 2015. The ethics clearance document is provided with the data.
Data Collection Notes
Data was collected using the Early Learning Outcomes Measure (ELOM) tool which includes the following components: ELOM Direct Assessment Kit, ELOM Direct Assessment Kit list, ELOM Direct Assessment Manual, ELOM Technical Manual, ELOM Scoring Sheet, Open source online protocol for tablet/phone-based scoring and data capture, ELOM Teacher Assessment of the Child.
Data Collectors
| Name |
|---|
| Innovation Edge |
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst Support Site | UCT | support@data1st.org | www.support.data1st.org |
Access conditions
Public use files, available to all
Citation requirements
Early Learning Outcomes Measure Project. Early Learning Outcomes Measure 2016 [dataset]. Version 1.1. Cape Town: Innovation Edge [producer], 2017. Cape Town: DataFirst [distributor], 2017. DOI: https://doi.org/10.25828/m8hh-t883
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| DataFirst | University of Cape Town | support@data1st.org | www.support.data1st.org |
Metadata production
Producers
| Name | Affiliation | Role |
|---|---|---|
| DataFirst | University of Cape Town | Metadata producer |
Date of Metadata Production
2020-07-25
DDI Document version
Version 4