Experimental Design
Starting point are all 369 primary schools in five Tanzanian districts. We exclude 17 of these 369 schools because they are run by private entities. After this first pre-selection there are 352 schools remaining: 84 schools in Ruangwa District Council (Lindi region), 113 schools in Nachingwea District Council (Lindi region), 31 schools in Mtwara Mikindani Municipal Council (Mtwara region), 46 schools in Newala Town Council (Mtwara region) and 78 schools in Songea District Council (Ruvuma region).
Within each district we sort the schools along the distance from the school to the district headquarters. Based on this ranking we select the 40 closest schools. As there are only 31 schools in Mtwara Mikindani Municipal Council (all within close proximity to the district headquarters), we select all 31 schools. As Nachingwea District Council has the most schools, 49 schools from this district are selected. This procedures leaves us with 200 schools in our sample.
For these 200 schools the head teacher is nominated for participation in the SITT program. Furthermore, in consultation with the District Education Officer, each school could nominate two regular teachers (one math and one science teacher) for participation in the program. When nominating the two regular teachers, schools are asked to adhere to the following selection criteria: (C1) Both nominees must continue teaching at their current school until the end of 2024. (C2) Both nominees should teach pupils of grade 6 in 2023 and grade 7 in 2024. (C3) Both nominees should not teach pupils of grade 4 and below in 2023 and 2024. All nominees (head teacher and the two regular teachers) are invited to participate in a sensitization event scheduled in early November 2022.
During the sensitization events in early November 2022, the nominated head teachers (200), the nominated math teachers (200) and the nominated science teachers (200) are introduced to the SITT program. The introduction covers the following points: (i) general presentation about the SITT program, (ii) information on the scope and the goals of the evaluation study. (iii) Furthermore, participants will be informed about the criteria for participating in the study (see (C1) to (C2) of previous paragraph) and about their option to opt out of the study at any time. The presentation emphasizes that all participants must adhere to these criteria, no matter whether their school is assigned to the control or treatment group. After the presentations, the teachers will be asked to give written consent to participate in the program and its evaluation. Teachers who provide written consent to participate in the program and its evaluation will be asked to fill in a socio-demographic survey. Teachers who could not participate in the sensitization event are contacted via an online form, where they are asked to provide written consent to participate in the study and fill in the socio-demographic survey.
The 200 participating schools are then randomly assigned to either treatment group (participating in the SITT program, 100 schools) or control group (not participating in the SITT program, 100 schools). If a teacher did not give consent to participate in the study (or cannot be reached by online form), he or she will not be part of the evaluation study. The random assignment is implemented with STATA, we stratify on average test scores of students in math and science in the Standard Four National Assessment (SFNA) and on district.
As schools are randomly grouped into treatment and control group, any aggregate differences in the post-intervention outcomes can be attributed to the intervention. The analysis will distinguish between a direct effect and an indirect effect (i.e. an effect through cascading) of the intervention. To assess the direct effect of the intervention we will rely on two outcomes: First, classroom observations will be conducted in 2023 and 2024 to analyse whether observed teaching practices systematically differ between teachers who participated in the intervention and those who did not. Therefore, classroom observations will be scheduled for classes taught by (i) teachers who directly participated in the SITT program, (ii) teachers from control schools who did not participate in the program at all (neither directly nor indirectly through cascading). Second, an analysis of National Examination Results administered by the National Examinations Council of Tanzania (NECTA) will yield insights on whether the intervention improved learning outcomes in science and mathematics among pupils. To estimate the direct impact of the intervention we will rely on the annual Primary School Leaving Examinations (PSLE) conducted with seventh graders. The participating teachers (treatment and control schools) will have agreed to teach pupils of grade 6 in 2023 and pupils of grade 7 in 2024. Therefore, pupils who will take the PSLE exam by the end of 2024 will have been taught by the same teachers for two consecutive years. From a design perspective, participation criteria (C1) and (C2) are therefore pivotal to estimate the direct effect of the intervention. By estimating the direct effect of the intervention, we will partially replicate Brunetti al. 2020 (see AEARCTR-0004959). Important: It will not be possible to directly match teachers to pupils. This means we will not know which share of 7th graders will have been taught by teachers who are part of the evaluation. However, most schools in the sample will only have a single class per grade (the median school in the sample has 53 pupils per grade which corresponds to average class size).
The main contribution of this project is to produce insights on how to exploit cascading effects in teacher training programs. Preliminary results (Brunetti et al. 2020) suggest that previous implementations of the intervention did not manage to produce measurable cascading effects. The main focus of this project is therefore to experimentally evaluate the deliberate design changes (see paragraph on "Intervention") to improve on this. To that end, we will asses whether two teacher training participants (math and science teacher) with the support of their head teacher can spark measurable cascading effects that reflect in more engaging instructional routines among peer teachers. To test this, we will compare the results of classroom observations from classes taught by (i) teachers who did not participate directly but were exposed to the intervention through cascading, to (ii) teachers from control schools who did not participate in the program at all (neither directly nor indirectly through cascading). Finally, Standard Four National Assessments (SFNA) conducted with fourth graders will serve as basis to estimate the indirect impact of the intervention through cascading on pupils learning outcomes. This will allow to test whether the potential behavioral changes among peer teachers who were only exposed to the program through cascading are relevant enough to accelerate the learning progress among their pupils. The participating teachers (treatment and control schools) will have agreed to not teach pupils of grade 4 and below in 2023 and 2024. Teachers in treatment schools teaching those grades can hence only benefit from the intervention through peer learning activities organized by their colleagues that attended the training (i.e. cascading). Therefore, any measurable difference in the outcomes of pupils who take the SFNA in 2024 can only be attributable to cascading of the intervention by participating teachers to peer teachers. From a design perspective, participation criterion (C3) is therefore pivotal to estimate the indirect effect of the intervention. Important: We will use SFNA results to estimate the indirect effect of the program for two reasons: First, it will not be possible to match teachers to students. Therefore, it would not be feasible to use results from PSLE as we cannot distinguish between students who were taught directly by participants of the intervention and their peers. Second, many schools only have a single class per grade. In these schools all students taking the PSLE exam in 2024 will have been taught directly by participants of the evaluation, making it infeasible to estimate indirect effects using PSLE results.