“…With regard to learner-related factors, it has been found that proficiency level (e.g., Suárez & Gesa, 2019), prior vocabulary knowledge (e.g., Feng & Webb, 2020;Peters & Webb, 2018;Puimège & Peters, 2020), age (Muñoz, 2017), or working memory (e.g., Gass et al, 2019;Montero Perez, 2020) may impact learning gains and the processing of multimodal input. Studies also indicate that including factors related to the target items (e.g., frequency of occurrence, part of speech, visual representation) or to the input (e.g., lexical coverage of TV episodes) is not only important to control for these variables but it also indicates whether these factors influence the learning process from multimodal input (Peters & Webb, 2018;Puimège & Peters, 2020). It is therefore not only crucial to include a detailed description of the multimodal input, individual differences, and the target items in the study methodology but also to use appropriate statistical techniques that allow for the inclusion of learner-and item-related factors such as logistic regression or mixed-effects models (e.g., Puimège & Peters, 2020;Pujadas & Muñoz, 2020).…”