Cloze tests have been the subject of numerous studies regarding their function and use in both first language and second language contexts (e.g., Jonz & Oller, 1994; Watanabe & Koyama, 2008). From a validity standpoint, one area of investigation has been the extent to which cloze tests measure reading ability beyond the sentence level.…

This paper reports a post-hoc analysis of the influence of lexical difficulty of cue sentences on performance in an elicited imitation (EI) task to assess oral production skills for 645 child L2 English learners in instructional settings. This formed part of a large-scale investigation into effectiveness of foreign language teaching in Polish…

Self-assessment has been used to assess second language proficiency; however, as sources of measurement errors vary, they may threaten the validity and reliability of the tools. The present paper investigated the role of experiences in using Japanese as a second language in the naturalistic acquisition context on the accuracy of the…

The rise in the affordability of quality video production equipment has resulted in increased interest in video-mediated tests of foreign language listening comprehension. Although research on such tests has continued fairly steadily since the early 1980s, studies have relied on analyses of raw scores, despite the growing prevalence of item…

The "cloze" test is one possible investigative instrument for predicting text comprehensibility. Conceptual coding of student replacement of deleted words has been considered to be more valid than exact coding, partly because conceptual coding seemed fairer to poorer readers. This paper reports a quantitative study of 447 Australian…

The Assessment of Language Competence (ALC) certificates is an annual, international testing program developed by the Australian Council for Educational Research to test the listening and reading comprehension skills of lower to middle year levels of secondary school. The tests are developed for three levels in French, German, Italian and…

This article reports the results of using a three-layer back propagation artificial neural network to predict item difficulty in a reading comprehension test. Three classes of variables were examined: text structure, propositional analysis, and cognitive demand. Results demonstrate that the networks can consistently predict item difficulty. (JL)