Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models

被引：29

作者：

DeCarlo, LT ^{[1
]}

机构：

[1] Columbia Univ, Dept Human Dev, Coll Teachers, New York, NY 10027 USA

来源：

BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS | 2003年 / 35卷 / 01期

关键词：

Bayesian Information Criterion; Unequal Variance; Neutral Item; Ordinal Regression Model; Probit Link;

D O I：

10.3758/BF03195496

中图分类号：

B841 [心理学研究方法];

学科分类号：

040201 ;

摘要：

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.

引用

页码：49 / 56

页数：8

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