發(fā)布時間：2018-04-17 01:13

  本文選題：認(rèn)知診斷 + DINA模型��； 參考：《統(tǒng)計與決策》2017年18期

【摘要】：認(rèn)知診斷模型-DINA模型假定屬性之間是相互獨(dú)立、非補(bǔ)償?shù)年P(guān)系,但在實(shí)際應(yīng)用中,屬性之間有可能存在補(bǔ)償關(guān)系。文章探討了在不同的被試總體下,DINA模型在屬性之間獨(dú)立和存在補(bǔ)償關(guān)系時作答數(shù)據(jù)上的表現(xiàn),結(jié)果表明,當(dāng)測驗(yàn)中有部分屬性間存在補(bǔ)償關(guān)系時,會給DINA模型診斷分布帶來較大的影響,在固定其他條件(被試人數(shù)、隨機(jī)因子)條件下,存在和不存在補(bǔ)償作用所導(dǎo)致的診斷分類率之間有顯著差異,且在不同大小補(bǔ)償作用下,診斷分類率之間的差異顯著;隨著隨機(jī)因子的增加,不同大小的補(bǔ)償因子所導(dǎo)致的診斷分類率之間的差異會變小,補(bǔ)償因子和隨機(jī)因子之間存在著顯著的交互作用。
[Abstract]:The cognitive diagnosis model DINA assumes that the attributes are independent and non-compensatory, but in practice there may be a compensatory relationship between the attributes.This paper discusses the performance of Dina model in different subjects in terms of the independence of attributes and the existence of compensation relationship. The results show that when there is a compensation relationship among some attributes in the test,Under the condition of fixed other conditions (number of subjects, random factors), there is a significant difference between the diagnostic classification rate caused by the existence of compensation and the absence of compensation.With the increase of random factors, the difference between diagnostic classification rates caused by compensation factors of different sizes will become smaller, and the difference between diagnostic classification rates will become smaller with the increase of random factors.There is a significant interaction between the compensation factor and the random factor.
【作者單位】： 延安大學(xué)數(shù)學(xué)與計算機(jī)科學(xué)學(xué)院;淮北師范大學(xué)管理學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(11471007)
【分類號】：O213
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本文編號：1761403