BRA_2015_CTFPIE-EL_v02_M
Ceara Teacher Feedback Program Impact Evaluation 2015
Endline Survey
Name | Country code |
---|---|
Brazil | BRA |
This impact evaluation consists of baseline and endline surveys. The baseline survey (conducted in November 2014) is documented and published in the World Bank Microdata Library and can be accessed by Staff using the following link: https://microdatalib.worldbank.org/index.php/catalog/8611. The endline survey is documented here.
Observation data/ratings [obs]
Classrooms; Schools
v1.1: This version of the data is identical to version 1, but the dataset has been de-identified.
The scope of the study includes:
The state of Ceará
Municipality
Name | Affiliation |
---|---|
Leandro Costa | World Bank |
Barbara Bruns | Center for Global Development |
Nina Cunha | Stanford University |
Name |
---|
Strategic Impact Evaluation Fund |
Name |
---|
Strategic Impact Evaluation Fund |
Ceará has 573 secondary schools that offer the complete three-year cycle. Of these, a sample of 400 schools was stratified by size, geographic area and quartile of learning results. Researchers randomly assigned the 400 schools into 4 groups, with the first 175 assigned to the treatment group, a second group of 25 assigned to a no-observation group, the next 175 schools assigned to the control group, and the last 25 schools also assigned to the no-observation group.
A late start to the baseline round of classroom observations and a limited budget led to a reduction in the sample to 350 schools (175 treatments and 175 controls), which were selected through simple randomization to keep the sample balance. The team did not observe any classroom in the group of 50 schools that were randomly assigned to a no-observation group of the study, but was able to analyze the students' assessments results afterwards.
Out of the 350 schools of the randomization, with 175 each planned for treatment and controls, 292 schools were observed in November 2014 and in November 2015. The full initial sample could not be observed due to disruptions in the school calendar in November 2014 (standardized tests and holidays) and a shortage of observers in the Fortaleza district. The 292-school final sample included 156 schools in the treatment group and 136 in the control group. This difference in the attrition of treatment and control schools was due to the data collection firm focusing their efforts on making up for the schools of the treatment group that would benefit from the classroom observation and the intervention. As a result, because the loss of schools from the treatment and control groups was uneven, the research team conducted a series of balance checks to test the randomization.
In the treatment sample, the 19 schools that were not observed could not receive the information treatment (benchmarked classroom observation feedback for the teachers in their school). But these schools were given access to the other three components of the program – self-help materials, face-to-face training and coaching, and were observed again at endline. The same schools were observed to obtain the endline data. Matched repeat observations were made in 2,399 classrooms, 75% of those observed at baseline. Variations in the school calendar and logistical issues resulted in 25% of the 2015 observations being conducted in grades and subjects in the school that had not been observed at baseline.
The Stallings Classroom Snapshot Coding Sheet: The classroom snapshot records the participants, their activities, and the materials being used in the classroom, at ten separate instances throughout a class period.
School Principals Questionnaire: The questionnaire gathers information about teachers' engagement in the school, level of teacher training activities, and Principals' and supervisors' assessments of the value and impact of the treatment.
Classroom Demographic Sheet: The instrument is used for identification of the school and classroom, and the basic information related to the observed classroom, such as the number of student and the start time of the class.
Start | End | Cycle |
---|---|---|
2015-10-26 | 2015-11-13 | Endline |
Each team of observers was coordinated by a supervisor with advanced expertise in the Stallings method. Supervisors conducted at least two observations side by side with each observer to check consistency, and reviewed the coding sheets submitted by observers for inconsistencies. In the case of major inconsistencies, supervisors were responsible for making a repeat visit to the school to conduct new observations.
The Stallings Classroom Snapshot instrument, technically called the Stanford Research Institute Classroom Observation System was developed by Professor Jane Stallings for research on the efficiency and quality of basic education teachers in the United States in the 1970s. The Stallings instrument generates robust quantitative data on the interaction of teachers and students in the classroom, with a high degree of inter-rater reliability (0.8 or higher) among observers with relatively limited training, which makes it suitable for large scale samples in developing country settings. The instrument is language and curriculum-neutral, so results are directly comparable across different types of schools and country contexts, and a growing body of comparative country data from the US and developing countries is available.
The Stallings instrument generates quantitative measures - at the classroom, school, and school system level - of four main variables:
All observers were pedagogical coordinators from treatment schools to avoid any contamination of control schools from having someone at the school familiar with the Stallings observation methods and/or the training program.
World Bank Microdata Library
Name | Affiliation |
---|---|
Laura Natalia Becerra Luna | The World Bank Group |
Name | Affiliation | URL | |
---|---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | https://www.worldbank.org/en/programs/sief-trust-fund | siefimpact@worldbank.org |
Public Access
Use of the dataset must be acknowledged using a citation which would include:
Example:
Leandro Costa, World Bank; Barbara Bruns, Center for Global Development; Nina Cunha, Stanford University. Brazil - Ceara Teacher Feedback Program Impact Evaluation 2015, Endline Survey. Ref: BRA_2015_CTFPIE-EL_v02_M. Dataset downloaded from [URL] on [date].
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.
Name | Affiliation | |
---|---|---|
Strategic Impact Evaluation Fund | The World Bank Group | siefimpact@worldbank.org |
DDI_BRA_2015_CTFPIE-EL_v02_M_WB
Name | Affiliation | Role |
---|---|---|
Education Global Practice LCR | World Bank | Submitted metadata, documents and the dataset through WB Microdata Library Data Deposit |
Development Economics Data Group | World Bank | Study documentation |
2023-08-08
Version 02 (August 2023)
This version of the study documentation is identical to version 01, but includes the de-identified version of the dataset that was previously submitted.
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