Elicited imitation (EI), a short-cut measure of global proficiency in second language (L2) research, requires participants to listen to sentences and repeat them as closely as possible. To support instrument sharing and assessment of L2 proficiency for longitudinal and crosslinguistic research, we created a parallel form of an EI task (EIT) for L2 English originally developed by the third author and colleagues and investigated the reliability and validity of the original and new forms. Eighty-two participants completed the two EITs, an oral narrative task, and a self-diagnostic survey. Both forms exhibited high reliability and good alignment with external criterion measures. Both distinguished well among four proficiency levels in the sample. Further, participants’ perception of EI difficulty aligned well with their EI scores. We suggest some improvements to boost forms equivalence and discuss new insights about the nature of EI as reconstructive, integrative, modality independent, and with indirect links to communicative abilities. Our study seeks to make this English EIT instrument widely useful to the L2 research community.

One of the basic goals of second language (L2) speech research is to understand the perception-production link, or the relationship between L2 speech perception and L2 speech production. Although many studies have examined the link, they have done so with strikingly different conceptual foci and methods. Even studies that appear to use similar perception and production tasks often present nontrivial differences in task characteristics and implementation. This conceptual and methodological variation makes meaningful synthesis of perception-production findings difficult, and it also complicates the process of developing new perception-production models that specifically address how the link changes throughout L2 learning. In this study, we scrutinize theoretical and methodological issues in perception-production research and offer recommendations for advancing theory and practice in this domain. We focus on L2 sound learning because most work in the area has focused on segmental contrasts.