用多層面Rasch模型分析做事測試的分數(shù)差異——對大學英語四、六級口語考試（CET-SET）的一次探索.pdf

1、As a comparatively direct measure of learners' communicative language ability,performance test (typically writing and speaking test) claims construct validity and a strong power for predictive utility of test scores and

2、is gaining increasing interest both in practice and research in language testing. Despite the seemingly direct relationship between the underlying constructs and scores, a routine but more complicated procedure should st

3、ill be followed in test validation. The present thesis aims to give a general overview of justifications for and problems involved in test validation in performance testing context and illustrate how Many-facet Rasch Mod

4、el (MFRM)could be adopted as an effective tool in addressing problems in test validation.As an illustration, the present study investigates and models possible sources of score variability within the framework of MFRM, b

5、ased upon raw scores of CET-SET (College English Test-Spoken English Test) administered on 19th and 20th, Nov. 2005in Hangzhou. The results demonstrate that CET-SET could successfully separate candidates into statistical

6、ly distinct levels of proficiency and facets in the model such as rater, task, rating domains and rating scales generally function well within certain limits. However, tendency to give central ratings along the scale, le

7、ss variability across three rating domains and certain patterns of bias in raters' rating pattern are detected. Fair scores for each candidate are also provided, minimizing the variability due to facets other than candid