“…These include a lack of quality measures (and/or failure to clearly specify measures), small sample sizes, the absence of control groups, and a failure to specify methods and intervention parameters such as setting, animal type, extent of animal involvement, participant demographics and goal of the AAI, across interventions and studies (Beetz, 2017; Brelsford et al, 2017; Gee et al, 2017; Hall et al, 2016; Rodriguez et al, 2021; Steel, 2022). Except for a few studies that have adopted both large sample sizes and control/comparison groups (Kirnan et al, 2016; Lewis & Nicholas, 2018; Steel, 2023 [all mixed methods]; Connell et al, 2019; Kirnan et al, 2018; Le Roux et al, 2014 [all quantitative methods]), the field lacks robust systematic evaluation. Collectively, the shortage of quality studies, and an overreliance on anecdotal evidence, casts uncertainty over purported benefits (Beetz, 2017; Brelsford et al, 2017; Fine et al, 2019; Gee et al, 2017; Hall et al, 2016; Reilly et al, 2020; Serpell et al, 2017).…”