Newsgroups: sci.stat.math
From: aruzinsky <aruzin...@general-cathexis.com>
Date: Thu, 2 Jul 2009 08:27:39 -0700 (PDT)
Local: Fri, Jul 3 2009 1:27 am
Subject: Re: A test for discrete versus continuous?
On Jul 2, 3:46 am, Gary <LanceG...@gmail.com> wrote:
> This is a somewhat poorly formed question but the problem it In some instances a phenomenon is finely discrete, e.g., an integer, > represents has troubled me several times in my career. Essentially > many theories may state that a particular phenomenon exists either as > a dimension or as a set of discrete categories. For example Reversal > Theory in psychology states (amongst other things) that a person is > either in a telic (purpose driven, arousal avoiding, future oriented) > mode or in a paratelic (activity driven, arousal seeking, present > oriented) mode and that people can't be somewhere "inbetween" the two > modes. So Reversal theory is positing a set of two discrete categories > and strongly claims that all people are in one or other of the two > states and that there is no continuum between them. Similarly Fulda > developed a mathematical model of the pull of temptation and asserts > that the model works on discrete moments of thought (in other words > the probabilities of temptation that are being modelled are discrete > and not continuous). In my experience it is really hard to devise > tests for claims of this kind. I wondered whther there are any > existing statistical tests designed to to test hypotheses of this > kind, or whether there are procedures and designs suitable for testing > such claims? > Lance instead of continuous, e.g., a real number. Let's just call both cases "practically continuous." The first thing that you need to do define a practically continuous metric, make measurements with this metric, and plot a histogram. If the histogram has gaps larger than the discretization of the metric, the phenomenon is not practically continuous. For example, to measure schizophrenia, one might construct a where N = Number of false beliefs that a jth individual has Ai = Strength of conviction (certainty) for ith false belief Bi = Proportion of population with ith (identical) false belief (to Then you make measurements on many individuals and plot the You must Sign in before you can post messages.
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