Search results

  1. Martin Marko

    Beta Regression Coefficients

    In a simple model, x is a continuous (normally distributed) variable predicting y. Since y values are proportions ranging from 0 to 1 (0%-100%), simple linear regression may give out-of-bounds estimates for some predicted values (i.e., lower than 1 or higher than 1). Therefore, I have decided...
  2. Martin Marko

    Estimated marginal means (+/-SE) in mixed-effect model for two or more fixed effects

    After specifying a mixed-effect model (using lme4 package) with 2+ fixed factors, for example: model = lmer(DV ~ facA * facB + (1|subject), data=DATA) I would like to estimate the marginal means (+/-SE) for each cell of facA and/by facB adjusted for each other (optionally allowing their...
  3. Martin Marko

    A thought about the link between Revelle's β coeff and CFA. Related?

    Hi stat freaks! :confused: I've just conducted an analysis of a scale's consistency (coeffs alpha, beta, omega, theta) and CFA to inspect the scale. I was wondering about the relation between Revelle's beta coeff. and CFA results. Beta coef. = estimates the worst possible split half of a item...
  4. Martin Marko

    Polychoric correlation (assumptions)

    Hi, are there some assumptions for polychoric (tetrachoric) correlation estimation for 0/1 dichotomous variables (such as ratio of 0 and 1)? Thank you! :) M.
  5. Martin Marko

    Repeated Measures ANOVA (Split-Plot ANOVA) analysis of residuals

    Hi, how to process decent residual analysis in repeated measures? I know that the residuals should have normal distribution (altogether an in every level of repeated factor too), but is there any other way to examine the residuals? I am considering Levene's test to chcek if the variances...