SIMPLE ADDITIVITY OF STOCHASTIC PSYCHOLOGICAL PROCESSES - TESTS AND MEASURES

被引：7

作者：

BALAKRISHNAN, JD

机构：

来源：

PSYCHOMETRIKA | 1994年 / 59卷 / 02期

关键词：

CONTEXT INDEPENDENCE; DONDERIAN ADDITIVE MODELS; FOURIER DECONVOLUTION; HAZARD RATE FUNCTION PURE INSERTION; RESPONSE TIME MODELS; SERIAL DISCRETE STAGE MODELS; STOCHASTIC DOMINANCE; SURVIVOR FUNCTION;

D O I：

10.1007/BF02295185

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this article, some additive models of behavioral measures are defined, and distributional tests of them are proposed. Major theoretical results include (a) conditions for additivity of components to predict the highest level of dominance in a model-free stochastic dominance hierarchy, (b) methods of identifying the shape of the hazard rate function of an added component from certain relationships among the observable density and distribution functions, and (c) effects of stochastic dependence between components on the distributional tests. Feasibility and usefulness of the methods are demonstrated by application to choice RT and ratings experiments.

引用

页码：217 / 240

页数：24

共 31 条

[11] THE STRUCTURE OF SIMPLE REACTION-TIME TO STEP-FUNCTION SIGNALS [J].