Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models
Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models
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DOI：
10.3758/bf03195496
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发表时间：
2003-02-01
期刊：
影响因子：
--
通讯作者：
DeCarlo, LT
中科院分区：
文献类型：
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作者：
DeCarlo, LT
最近在SPSS中增加了一个顺序回归模型分析程序，为研究人员拟合不等方差正态信号检测模型和其他扩展信号检测模型提供了一种简单的方法。本文展示了如何实现分析以及如何解释SPSS输出。给出了不等方差正态模型和其它广义信号检测模型的拟合实例。该方法为将信号检测理论应用于各种研究提供了一种方便的手段。
The recent addition of a procedure in SPSS for the analysis of ordinal regression models offers a simple means for researchers to fit the unequal variance normal signal detection model and other extended signal detection models. The present article shows how to implement the analysis and how to interpret the SPSS output. Examples of fitting the unequal variance normal model and other generalized signal detection models are given. The approach offers a convenient means for applying signal detection theory to a variety of research.