z-logo
Premium
Controlling power in a heteroscedastic ANOVA procedure
Author(s) -
Wilcox Rand R.
Publication year - 1986
Publication title -
british journal of mathematical and statistical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.157
H-Index - 51
eISSN - 2044-8317
pISSN - 0007-1102
DOI - 10.1111/j.2044-8317.1986.tb00845.x
Subject(s) - mathematics , heteroscedasticity , type i and type ii errors , statistics , type (biology) , constant (computer programming) , random variable , value (mathematics) , simple (philosophy) , distribution (mathematics) , degrees of freedom (physics and chemistry) , null hypothesis , combinatorics , computer science , mathematical analysis , ecology , philosophy , physics , epistemology , quantum mechanics , biology , programming language
The advantage of the Bishop–Dudewicz ANOVA procedure is that, without assuming equal variances, the experimenter can guarantee that the Type I and Type II error probabilities are exactly equal to α and β respectively. Because unequal variances are known to affect both Type I and Type II errors, their procedure can be important in practice. However, to use their procedure, the experimenter must determine the constant, say d , such that Pr[Σ( T j –T̄+( μ j –μ)/√ d ) 2 ≥ c ] = 1 – β, where the T j s are J independent Student's t random variables, each having ν degrees of freedom, c is the critical value used in the Bishop–Dudewicz procedure, μ = Σ μ j / J , and the μ j s are the means of J independent normal random variables. Bishop & Dudewicz proposed a method of approximating d , but for many researchers and students, the procedure is inconvenient to the point that few would apply it. This brief note proposes and examines two simple approximations to d . One of these, which is based on a new approximation of the non‐null distribution, appears to be especially accurate.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom