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

LAWRENCE T. DECARLO

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

机译：使用SPSS的PLUM程序拟合不等方差和广义信号检测模型

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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.

机译：最近在SPSS中增加了一种用于分析序数回归模型的程序，为研究人员提供了一种适合不等方差正常信号检测模型和其他扩展信号检测模型的简单方法。本文介绍了如何执行分析以及如何解释SPSS输出。给出了拟合不等方差正态模型和其他广义信号检测模型的示例。该方法为将信号检测理论应用于各种研究提供了便利的手段。

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《Behavior Research Methods, Instruments & Computers》 |2003年第1期|p.49-56|共8页
作者
LAWRENCE T. DECARLO;
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Department of Human Development, Box 118, Teachers College, Columbia University, 525 West 120th Street, New York, NY 10027;

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正文语种 eng
中图分类心理学;
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1. Recognition Memory zROC Slopes for Items With Correct Versus Incorrect Source Decisions Discriminate the Dual Process and Unequal Variance Signal Detection Models [J] . Jeffrey J. Starns, Caren M. Rotello, Michael J. Hautus Journal of experimental psychology. Learning, memory, and cognition . 2014,第5期

机译：具有正确与错误源决策的项目的识别记忆zROC斜率可区分对偶过程和不等方差信号检测模型
2. On the statistical and theoretical basis of signal detection theory and extensions: Unequal variance, random coefficient, and mixture models [J] . DeCarlo L.T. Journal of Mathematical Psychology . 2010,第3期

机译：基于信号检测理论和扩展的统计和理论基础：不等方差，随机系数和混合模型
3. The unequal variance signal-detection model of recognition memory: Investigating the encoding variability hypothesis [J] . Spanton Rory W., Berry Christopher J. The quarterly journal of experimental psychology: QJEP . 2020,第8期

机译：识别存储器的不等方差信号检测模型：研究编码变异性假设
4. Reseating, thinning or complementing? On goodness-of-fit procedures for point process models and Generalized Linear Models [C] . Felipe Gerhard, Wulfram Gerstner Annual conference on Neural Information Processing Systems . 2011

机译：重新定位，细化还是补充？关于点过程模型和广义线性模型的拟合优度过程
5. Estimating standard errors of estimated variance components in generalizability theory using bootstrap procedures. [D] . Moore, Joann Lynn. 2010

机译：使用引导程序估计可概化理论中估计方差分量的标准误差。
6. The unequal variance signal-detection model of recognition memory:Investigating the encoding variability hypothesis [O] . Rory W Spanton, Christopher J Berry -1

机译：识别存储器的不等方差信号检测模型：调查编码变异假设
7. Using the PLUM procedure of SPSS to fit unequal variance and generalized signal detection models [O] . Lawrence T. Decarlo 2003

机译：使用SPSS的PLUM程序适合不等的方差和广义信号检测模型
8. Subset Selection Procedures for the Means of Normal Populations with Unequal Variances: Unequal Sample Sizes Case [R] . Gupta, S. S., Wong, W. Y. 1982

机译：具有不等方差的正规总体均值的子集选择程序：不等的样本大小的情况

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

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