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试题难度、试题考查重要性程度加权是多级记分试题的两个基本属性, 因而在IRT项目特征函数中需用不同参数来表示。以往多级记分模型用多个难度参数来描述多级记分试题的难度, 不能有效的表达多级记分试题的分数权重作用。从多级记分试题的分数加权作用角度, 本文提出Logistic加权模型并论述了理论构建思想。在Logistic加权模型下对项目参数估计的EM算法进行推导并编写了相应的参数估计程序。在Logis...
Logistic regression and Prediction Configural Frequency Analysis – a comparison
Logistic regression prediction configural frequency analysis design matrix extended models model comparison
2009/12/31
Logistic regression (LR) and Prediction Configural Frequency Analysis (PCFA) are compared. First, the underlying statistical models are presented. Second, sample design matrices are created. Third, da...
The Linear Logistic Test Model (LLTM) as the methodological foundation of item generating rules for a new verbal reasoning test
Rasch model LLTM item generating rules reasoning test
2009/12/16
Based on the demand for new verbal reasoning tests to enrich psychological test inventory, a pilot version of a new test was analysed: the 'Family Relation Reasoning Test' (FRRT; Poinstingl, Kubinger...
Examining item-position effects in large-scale assessment using the Linear Logistic Test Model
Rasch model LLTM large-scale assessment item-position effects item calibration
2009/12/21
When administering large-scale assessments, item-position effects are of particular importance because the applied test designs very often contain several test booklets with the same items presented a...
Estimation of item location effects by means of the generalized logistic regression model:a simulation study and an application
Item location effect position effect Generalized Logistic Regression Model
2009/12/21
The present paper deals with the application of the generalized logistic regression model to the estimation of item location effects. A Monte Carlo study demonstrates that item difficulties and item l...