The consecutive controlled case series: Design, data‐analytics, and reporting methods supporting the study of generality

Hagopian (2020) created a new research recipe called the consecutive controlled case series (CCCS).

The goal is to test if your treatment keeps working when you move from one client to the next.

You run the same single-case design over and over with new clients, one after another.

The paper gives step-by-step rules for setting up, running, and reporting these back-to-back studies.

It shows how to track if the effect holds across people, places, and staff.

No new data are presented—this is a how-to guide for future studies.

Frazier et al. (2018) built the CSCEDARS checklist to judge single-case studies.

CCCS adds a new design that meets those quality checks, so the two tools work together.

Guinness et al. (2024) used the same "one-after-another" logic to teach APA citations.

They delivered training parts in sequence to each student, just like CCCS delivers the same intervention to each new client.

Sivaraman et al. (2020) reviewed telehealth ABA studies that could now use CCCS to prove the treatment works across cultures.

If you are piloting a new procedure, run it with three to five clients in a row using CCCS.

You will know right away if the skill sticks across kids, homes, or schools.

Share the mini-series in a short report—no need to wait for a big group study.