SPSS (with this option) produces Levene's test with slightly different statistics to R with the syntax shown above; this is because SPSS defaults to the "mean-centred" version of Levene's test, while R (car and ezANOVA packages alike) defaults to the "median-centred" version, which is (a) usually more robust, and (b) strictly called the Brown ... I want to transform the time variable to orthogonal polynomial variables. Can you share more on how to run the contrasts for time in SPSS (particularly the piece about orthopolynomial transformation)?
Apr 11, 2017 · Statistical Regression analysis provides an equation that explains the nature and relationship between the predictor variables and response variables. For a linear regression analysis, following are some of the ways in which inferences can be drawn based on the output of p-values and coefficients. SPSS重复测量数据常遇到不等距数据（SPSS默认等距操作），本例WSFACTOR=Time 11 Polynomial (0 0.143 1 2 3 5 9 13 17 21 24)【注：0.143≈1/7周】 结果及解读 （1）各因变量分别服从或近似服从正态分布（图表略）。
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