Abstract
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.
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Additional programs for signal detection analysis are available at the author’s Web site, http://www.columbia. edu/~ld208.
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Decarlo, L.T. Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models. Behavior Research Methods, Instruments, & Computers 35, 49–56 (2003). https://doi.org/10.3758/BF03195496
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DOI: https://doi.org/10.3758/BF03195496