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Topic: Validity (statistics)


In the News (Sun 15 Nov 09)

  
  Facts about topic: (Validity (statistics))   (Site not responding. Last check: 2007-10-12)
In statistics (A branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters) a valid measure is one which is measuring what it is supposed to measure.
A common approach, called criterion validity, is to correlate measures with a criterion measure known to be valid.
Separate from criterion validity is construct validity (additional info and facts about construct validity), where an investigator examines whether a measure is related to other variables as required by theory.
www.absoluteastronomy.com /encyclopedia/v/va/validity_(statistics).htm   (208 words)

  
 Encyclopedia: Validity (statistics)
In statistics a valid measure is one which is measuring what it is supposed to measure.
Separate from criterion validity is construct validity, where an investigator examines whether a measure is related to other variables as required by theory.
According to classical test theory, predictive or concurrent validity cannot exceed the square of the correlation between two versions of the same measure -- that is, validity cannot exceed reliability.
www.nationmaster.com /encyclopedia/Validity-(statistics)   (503 words)

  
 Home Page - The University of Sydney   (Site not responding. Last check: 2007-10-12)
Bartels R, Fiebig DG and McCabe A 2004 'The value of using stated preference methods: a case study in modelling water heater choices', Mathematics and Computers in Simulation, vol.64:3&4, pp.
Bartels R 1981 'Truncation bounds for infinite expansions for the stable distributions', Journal of Statistical Computation and Simulation, vol.12, pp.
Bartels R 1977 'On the use of limit theorem arguments in economic statistics', American Statistician, vol.31, pp.
www.econ.usyd.edu.au /staff/33   (1656 words)

  
 Wellesley College Library - Psychology
Each entry includes the following: test name, purpose, description, statistics, validity, author, and source.
Indexes allow the reader to locate test instruments by author or subject.
Lists brief descriptions of tests, their purposes, past population samples, validity and reliability information, and lists of references.
www.wellesley.edu /Library/Research/psych.html   (2174 words)

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