如题，上传一篇方法学的文献，供大家学习。
摘要如下：
   The current study examined the Type I error rates and power of several itemresponse theory (IRT) item
fit indices used in conjunction with the graded response model (GRM). Specifically, S  w2, w2*, and
adjusted w2 degrees of freedom ratios (w2/dfs) were examined. Model misfit was introduced by
manipulating item parameters and by using a different IRT model to generate item data. Results
indicated lower than expected Type I error rates for S  w2 and w2*. Adjusted w2/dfs resulted in large
Type I error rates when used with cross validation and very low Type I error rates when used
without cross validation. w2* and adjusted w2/dfswithout cross validationwere the most powerful overall.


Keywords
item response theory and quantitative research, computer simulation procedures (e.g., Monte
Carlo, Bootstrapping) and quantitative research, measurement models





后续将会逐渐推送一些最近自身学习IRT心得，以及一些困惑的地方（初学的菜鸟，不自量力请见谅），欢迎大家在下面留言、相互交流。本人学习的和分享的宗旨是希望找到共同爱好这个领域的人一起学习探讨。借用去年去北大作报告时，自己敬佩的一位教授的一句话：“作报告，如果没有人指出一些问题或者发表一些自己的见解，说明这个报告是很失败的”