Compute an analysis of deviance table for one or more maximum likelihood conjoint measurement model fits.
objects of class
the dispersion parameter for the fitting family. By default, it is obtained from the object(s)
a character string (partially) matching one of "Chisq", "F", or "Cp". See
anova.glm for details. In brief, specifying a single object, results in the display of a sequential analysis of deviance table for that model. Specifying several objects, a table indicating the results of the likelihood ratio tests between successive models is displayed. The models must be nested and fit to the same data set. One can mix a
formula method model with a
glm model, but not more than one comparison between a pair of such models at a time.
An object of class "anova" inheriting from class "data.frame".
see section Warnings in
anova for warnings.
Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196–204.
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Analysis of Deviance Table Model 1: Resp ~ (B12 + B13 + B14 + B15) - 1 Model 2: Resp ~ (G12 + G13 + G14 + G15 + B12 + B13 + B14 + B15) - 1 Model 3: Resp ~ (G12.B11 + G13.B11 + G14.B11 + G15.B11 + G11.B12 + G12.B12 + G13.B12 + G14.B12 + G15.B12 + G11.B13 + G12.B13 + G13.B13 + G14.B13 + G15.B13 + G11.B14 + G12.B14 + G13.B14 + G14.B14 + G15.B14 + G11.B15 + G12.B15 + G13.B15 + G14.B15 + G15.B15) - 1 Resid. Df Resid. Dev Df Deviance Pr(>Chi) 1 971 500.12 2 967 476.48 4 23.635 9.452e-05 *** 3 951 461.53 16 14.947 0.5285 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
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