Experimental evaluation of public policy: the case of state legislation for child passenger safety.

Stoddard et al. (1988) checked if new state car-seat laws actually got more kids buckled safely. They tracked real families in five states before and after each law passed. No lab rooms—just parking lots, day-care centers, and grocery stores.

Teams watched who used safety seats and wrote down the child’s age and seat type. They compared the same spots months later to see if the law changed behavior.

Results were all over the map. Two states showed more kids in proper seats after the law. Two states slid backward. One state stayed flat. Age mattered too—toddlers gained more than babies or older kids in some places, but the pattern flipped in others.

No clear winner. A law on paper did not equal safer kids in every car.

Vladescu et al. (2020) picked up the same thread 32 years later. They scouted studies on caregiver safety habits, this time for infant sleep and tummy-time. Like T et al., they saw that rules alone rarely fix behavior—parents still need prompts, checks, and feedback.

Szempruch et al. (1993) warned that policy studies must prove real-world change lasts. Their early review urged teams to measure generalization and social validity—exactly what the car-seat paper tried but found shaky.

Ludwig et al. (2023) show the flip side: when OBM tactics like observation and praise are added, industrial safety jumps. The 1988 study lacked those extra behavioral layers, which may explain its mixed scores.

For BCBAs, the takeaway is blunt: laws set the occasion, but behavior change needs ongoing contingencies. If you consult on community safety—bike helmets, pool rules, or elopement—pair any new rule with immediate rewards, public posting, and caregiver coaching. Check data by spot-checking in natural settings, not just surveys. Policy plus behavior analysis can protect kids; policy alone is just words.