The assessment of so-called depth of word knowledge has been the focus of research for some years now. In this article the construct of deep word knowledge is further specified as the decontextualized knowledge of word meanings and word associations. Most studies so far have involved adolescent and adult second language learners. In this article,…

This paper presents a row-column (RC) association model in which the estimated row and column scores are forced to be in agreement with a priori specified ordering. Two efficient algorithms for finding the order-restricted maximum likelihood (ML) estimates are proposed and their reliability under different degrees of association is investigated by…