Randomization Method
We will randomize across schools within the same Comprehensive Institute. This choice is motivated by the characteristics of the Italian education system and the rules and practices governing assignment to schools and classes. Each public primary schools is linked to a IC. ICs are unified educational entities that group schools of various levels (preschool, primary, and lower secondary) under a single administration, which implies a single headmaster overseeing the teaching staff across different schools, a unified school council, common school rules, joint “open days”, and so on. The schools within an IC serve a particular geographic area (e.g., a set of neighborhoods). In the Venice Province, each IC typically includes 2 to 6 primary schools. In a primary school, the number of classes for each grade usually ranges from one (increasingly common due to demographic trends) to three (more rarely found). Prospective pupils are assigned to one or more potential ICs based on their address of residence and are entitled to enroll in one of the schools linked to those ICs. Parents can select a specific school within the IC, and, in general, their child will obtain enrollment in the chosen school. If capacity constraints are reached, students may be redirected to another school within the same IC; however, this is uncommon.
Once enrolled, the school assigns students to specific classes. Assignment considers various factors, typically aiming for a balanced distribution of student characteristics (e.g., nationality, abilities observed in preschool reports, etc.) across classes. Occasionally, parents informally request that their child be placed in the same class as a friend, but this kind of request has no formal relevance and is generally not considered in the process.
While randomizing classes within the same school would maximize comparability between treated and control children (who would have chosen the same school, then being assigned to different classes by the school staff), we have chosen to randomize schools within each IC for three main reasons:
1. Minimizing spillover effects: if treated and control children were in the same school, but in different classes, there would likely be interactions. Children likely know each other (possibly coming from the same neighbourhood and preschool) and would spend time together during lunch, breaks, or even in activities organized by the school. Randomizing within a single class would be even more problematic, as children in the same classroom would have to be separated into treatment and control groups, which could generate clear contamination and confounding effects.
2. Expected comparability between schools within the same IC: children attending schools within the same IC generally live in close proximity and are subject to the same school policies. Additionally, through the parental questionnaire, we will be able to control for family background factors that may influence the specific school choice within an IC.
3. Feasibility: in many schools, there is only one class per grade; had we opted for randomizing classes, such schools and classes would end up being excluded (likely generating bias) from the study.
We will use a Stratified Randomization: Strata will be defined by Institutes. Within each stratum, Schools will be assigned a random number v in the interval (0;1) interval. If the number of schools per Institute (t) is even, the first (t/2) schools with largest v will be assigned to the treatment group. If the number of schools is odd, the ((t/2) -1) schools with largest v will be assigned to the treatment group. For budget reasons, the treatment group will plausibly be slightly smaller than the control group.
Stratified Randomization of schools will be conducted by the PI on the University-Laptop, after the preregistration is concluded, and before the fieldwork begins.
(Randomization of the order in which children will be called into the experimental room will be done in the field by teacher: the teacher will extract codes fishing from a textile bag, in the presence of the Research Team Leader supervising the Experimental team on that day. )