Otitis Media (OM) is a prevalent condition in children that can lead to hearing impairment and significant healthcare costs. Inaccuracy in primary care and equipment cost in developing countries are concerning issues in OM diagnostics. Acoustic Reflectometry (AR) offers a low-cost, non-invasive diagnostic alternative, though it has fallen short on accuracy in previous studies. The primary aim of this study was to establish a computational simulation and an experimental model able to reproduce AR performed on human individuals to enable further research and accuracy improvement. The secondary aim was to perform a sensitivity analysis on AR instrument user error. Simulations and experiments were validated against measurements from human individuals with OM and normal ears, respectively. The results reveal that the simulation sufficiently reproduces human AR measurements and distinguishes an ear with OM from a healthy ear. The experiment delivered satisfying measurements on OM but underperformed in a normal ear scenario. The simulations and experiments overpredicted sound reflection in OM. The sensitivity study showed promising robustness of AR, concluding that computational simulation is a viable tool and complement to an experimental approach in research of AR. Future efforts should focus on paediatric models and partially filled middle ear simulations to promote clinical relevance.