PhilSci Archive

Pearson's wrong turning: against statistical measures of causal efficacy

Northcott, Robert (2004) Pearson's wrong turning: against statistical measures of causal efficacy. In: [2004] Philosophy of Science Assoc. 19th Biennial Meeting - PSA2004: Contributed Papers (Austin, TX; 2004) > PSA 2004 Contributed Papers. (In Press)

WarningThere is a more recent version of this item available.
[img] Microsoft Word
Download (89Kb)

    Abstract

    Standard statistical measures of strength of association, although pioneered by Pearson deliberately to be acausal, nowadays are routinely used to measure causal efficacy. But their acausal origins have left them ill suited to this latter purpose. I distinguish between two different conceptions of causal efficacy, and argue that: 1) Both conceptions can be useful 2) The statistical measures only attempt to capture the first of them 3) They are not fully successful even at this 4) An alternative definition more squarely based on causal thinking not only captures the second conception, it can also capture the first one better too.


    Export/Citation:EndNote | BibTeX | Dublin Core | ASCII/Text Citation (Chicago) | HTML Citation | OpenURL
    Social Networking:

    Item Type: Conference or Workshop Item (UNSPECIFIED)
    Keywords: causation, causal efficacy, statistics, Pearson, correlation coefficient, analysis of variance
    Subjects: Specific Sciences > Probability/Statistics
    General Issues > Causation
    Conferences and Volumes: [2004] Philosophy of Science Assoc. 19th Biennial Meeting - PSA2004: Contributed Papers (Austin, TX; 2004) > PSA 2004 Contributed Papers
    Depositing User: Robert Northcott
    Date Deposited: 18 Aug 2004
    Last Modified: 07 Oct 2010 13:18
    Item ID: 1894
    Public Domain: No
    Conference Date: November 2004
    Conference Location: Austin, Texas
    URI: http://philsci-archive.pitt.edu/id/eprint/1894

    Available Versions of this Item

    Actions (login required)

    View Item

    Document Downloads