Levene tests of homogeneity of variance for general block and treatment designs.
This article develops a weighted least squares version of Levene's test of homogeneity of variance for a general design, available both for univariate and multivariate situations. When the design is balanced, the univariate and two common multivariate test statistics turn out to be proportional to the corresponding ordinary least squares test statistics obtained from an analysis of variance of the absolute values of the standardized mean-based residuals from the original analysis of the data. The constant of proportionality is simply a design-dependent multiplier (which does not necessarily tend to unity). Explicit results are presented for randomized block and Latin square designs and are illustrated for factorial treatment designs and split-plot experiments. The distribution of the univariate test statistic is close to a standard F-distribution, although it can be slightly underdispersed. For a complex design, the test assesses homogeneity of variance across blocks, treatments, or treatment factors and offers an objective interpretation of residual plots.
O'Neill
Michael E
ME
Department of Crop Sciences, University of Sydney, New South Wales, Australia. MickO@agric.usyd.edu.au
Mathews
Ky L
KL
D018554:Avena / Q000382:microbiology; D005659:Fungicides, Industrial / Q000378:metabolism; D006375:Helminthosporium / Q000378:metabolism; D016018:Least-Squares Analysis; D016014:Linear Models; D015999:Multivariate Analysis; D018532:Pisum sativum / Q000254:growth & development; D010935:Plant Diseases / Q000382:microbiology; D012107:Research Design; D012639:Seeds / Q000382:microbiology
D005659:Fungicides, Industrial