自学考试试题难度影响因素的多元回归分析

以实测数据为基础,采用多元线性回归的统计方法,分析自学考试试题难度的影响因素。结果表明,试题难度的多元回归线性模型,基本能解释因变量和自变量的关系,对自学考试预估难度的赋值具有现实的指导意义,也为题库建设中试题难度的调控提供了有效的途径。

Multipleregression analysis of influencing factors for item difficulty of the Self-taught Higher Education Examinations

Influencing factors for item difficulty of the Self-taught Higher Education Examinations are investigated by multiple linear regression analysis on the basis of practical data. The results show that the multiple linear regression models of item difficulty can basically explain the relationship between the dependent variable and the independent variables. The multiple linear regression models of item difficulty may throw some new light on the evaluating estimated difficulty of the Self-taught Higher Education Examinations, and also gives an effective access to control item difficulty.