  Research reproducibility - i.e., rerunning analyses on original data to
replicate the results - is paramount for guaranteeing scientific validity.
However, reproducibility is often very challenging, especially in research
fields where multi-disciplinary teams are involved, such as child-robot
interaction (CRI). This paper presents a systematic review of the last three
years (2020-2022) of research in CRI under the lens of reproducibility, by
analysing the field for transparency in reporting. Across a total of 325
studies, we found deficiencies in reporting demographics (e.g. age of
participants), study design and implementation (e.g. length of interactions),
and open data (e.g. maintaining an active code repository). From this analysis,
we distill a set of guidelines and provide a checklist to systematically report
CRI studies to help and guide research to improve reproducibility in CRI and
beyond.
