Abstract

In this study, we attempted to measure English learners’ communicative intentions and capabilities (CIC) by adding their English proficiency to their willingness to communicate (WTC) as a predictor of the learners’ English use. In the context of communicative language teaching (CLT), learners’ WTC is considered the key to linking important learner factors such as self-perceived competence, anxiety, and motivation. Given that WTC only accounts for learners’ communicative intentions, we hypothesized that learners’ communicative capabilities (i.e., language proficiency) would be a meaningful addition to measuring overall CIC. To test this hypothesis, we collected a total of 67 samples (N = 17,811) and conducted an analysis using a metaanalytic structural equation modeling (MASEM) approach. The results indicated that the learners’ overall CIC successfully predicted their English use, with a significant path coefficient (β = .525, p = .02). Furthermore, we found that the size of the direct contributions of perceived competence and motivation became non-significantly marginal (ps > .05), indicating that adding learners’ proficiency to the WTC to measure the overall CIC can improve the overall explanatory power of the MASEM model to predict learners’ English use.

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