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  1. J

    Question in interpreting Effects Size - versus p - Very large data sets

    Good morning, Happy Memorial from the US My question is how to interpret Effects Size statistics - eta squared - JASP application Data Set very large >22,000 data observations Am told in the literature that the p-values will be very small and useless. I have looked at a dozen publication on...
  2. J

    Homogeneity requirements for Linear regression

    I have a large data set >22,000 obs. This is industrial data with many unequal cells. Some cells have 1000's of obs, and some have 10's of obs. The Levene's test for Equality of Variances has a very sig p for non-homogeneity. Regardless of all that, the analysis makes very good sense, and...
  3. J

    ANOVA - 1 dependent Variable - 3 category variables

    In a hypothesis testing checklist, it says, "equal variance were assumed for the analysis". What does that actually mean? With only one scalar variable does one just ignore that statement. The Q-Q plot is normal. It is a huge data set, > 22,000 observations, and I trimmed out the outliers >...
  4. J

    How to Interpreting beta or standardized regression coefficients

    I am comparing machinery and fish species. I am using dummy variables (0,1) for 2 variables with 3 values each. The standardized coef's make sense. I would like to explain the standardized variables in the following way. D-CAP has about 4 times more impact than D-VPC-T (0.342/0.085) = 4.02...