Linear Logistic Models for Change
Linear Logistic Models for Change
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变革的线性逻辑模型
DOI：
10.1007/978-1-4612-4230-7_9
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
G. Fischer
中科院分区：
文献类型：
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作者：
G. Fischer
第8章描述的线性Logistic检验模型(LLTM)可以重新解释为变化模型和用于衡量治疗效果的模型。第9章讨论了这种重新解释。此外，变化的LLTM可以以这样一种方式重新参数化-与RM非常不同-可以分析和监控多维项目域中的变化-该模型被称为具有松弛假设的线性逻辑模型(LLRA)，因为它消除了RM的单维性要求。本章讨论了这些变化模型的性质，给出了估计方程、唯一性结果和假设检验，并提到了典型的应用。
The linear logistic test model (LLTM) described in Chapter 8 is reinterpretable as a model of change and for measuring treatment effects. Chapter 9 deals with this reinterpretation. Moreover, the LLTM for change can be reparameterized in such a way that - quite unlike the RM - change in multidimensional item domains can be analyzed and monitored- This model is called the ‘linear logistic model with relaxed Assumption’ (LLRA) because it dispenses with the unidimensionality requirement of the RM. The present chapter discusses properties of these models of change, gives estimation equations, uniqueness results, and hypothesis tests, and mentions typical applications.