The Early Grade Reading Assessment (EGRA) is an oral student assessment designed to measure the most basic foundation skills for literacy acquisition in the early grades: recognizing letters of the alphabet, reading simple words, understanding sentences and paragraphs, and listening with comprehension.
The USAID Education Data for Decision Making (EdData II) project developed the EGRA methodology and has applied it in 11 countries and 19 languages. It has been adopted and used by other implementing partners in more than 30 other countries and more than 60 other languages. Data from EGRA have been used for feedback on teacher practice in rigorous but easy-to-understand ways. Many countries have shown an interest in using it as a springboard to improve reading, and have gone on to redesign their teacher training around reading.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
student, teacher, clusters of schools
Provincial-level diagnostic assessment of basic reading skills in grades 2 to 4 in English.
National Capital District (NCD)
All elementary and primary schools in the province of NCD.
Producers and sponsors
United States Agency for International Development (USAID)
Global Partnership for Education
Random stratification of schools by district; random selection of students among all classrooms in a grade tested.
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download.
United States Agency for International Development, RTI International. Papua New Guinea National Capital District Early Grade Reading Assessment (EGRA) 2012, Ref. PNG_2012_EGRA-NCD_v01_M. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.