选题策略在计算机化自适应测验研究中是一重要内容，它的好坏与考试的信、效度，测验安全性以及测量准确性直接相关。最大信息量组块分层策略（MaximumInformationStratifieationMethodWithBlocking，MIS—B）针对a分层法在实际应用中的不足，将题目猜测度C和组块（blocking）略引入其中，提高了测量准确性和测验安全性。此外，尝试性地将改藏多项式模型（TlleModifiedMuhinomialM0del，MMM）融入MIS-B中，提出了MMM-MIS-B（4MIS-B）的雏形。%Item selection method is an important component of a computerized adaptive testing and has significant effects on the measurement efficiency, test security, test reliability and validity. Solving the shortage of a-STRatified method in the actual application, Maximum Information Stratification Method With Blocking （MIS-B） incorporates the c parameter and the blocking in the stratification of the bank and in the item-selection rule, improving accuracy and security by comparison with the a-STRatified method, for item banks with a and b parameters correlated and uncorrelated. In addition, this paper attempted to blend the Modified Multinomial Model into MIS-B, proposed the rudiment of a new item selection method ： MMM-MIS-B （4MIS-B）.
展开▼
