IRT

Psychometrika
|February 25, 2026
PubMed
概括

项目响应理论 (IRT) 模型需要根据路由决策对多阶段适应性测试 (MST) 数据进行调整. 未调整的余量是不合适的,但调整的余量在模拟和真实数据分析中显示出令人满意的I型错误.

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The test statistic for a test of independence is similar to that of a goodness-of-fit test:
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Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
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Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
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