Recent content by spunky

  1. spunky

    LOG10 and SQRT transformation

    Before you transform anything, this might be a useful read for you: https://psychometroscar.com/2018/07/11/normality-residuals-or-dependent-variable/
  2. spunky

    Hi everybody

    Hello!
  3. spunky

    Endogeneity and R-squared

    True. since R^{2} is a linear combination of correlations and (standardized) regression coefficients, the bias it experiences depends on the size of the coefficients as well as how many of them are biased and in which direction we would observe the bias. However, the key point is that we don't...
  4. spunky

    Endogeneity and R-squared

    Well... it's not super difficult to show that for OLS regression models of the form Y= \beta_0 + \beta_1X_1 + \beta_2X_2 +...+\beta_pX_p + \epsilon , the R^{2} statistic is a function of the elements of the correlation matrix of the predictors and the vector of correlations between the...
  5. spunky

    Reporting Stats Results in APA format

    Sure thing. The APA Style Manual is the official guide for all this stuff
  6. spunky

    How much of Science is based on Statistics

    Another important search term for your googling adventure: 5 sigma A big chunk of evidence for the discovery of the Higgs Boson by CERN relies on that and when you read the description you realize it really is just a p-value.
  7. spunky

    Please show work

    Check this out to complete your work
  8. spunky

    Hello everyone

    Welcome! Here's a good solution to your problem.
  9. spunky

    Analyze non-normally distr. data from within-subjects-design

    Why would you expect the residuals to be normally distributed? Your dependent variable is bounded from 1 to 5 in discrete intervals. Just look at your quantile plot and see how they move in steps as opposed to a smooth, continuous curve. In any case... you're in one of those cases where I'm...
  10. spunky

    Analyze non-normally distr. data from within-subjects-design

    I think reading through this two would be more informative than me writing a whole rant about it: Normality: residuals or dependent variable? and Analyzing ordinal data with metric models: What could possibly go wrong?
  11. spunky

    Kappa for nonsquare tables

    I've never touched SAS in my life ¯\_(ツ)_/¯
  12. spunky

    Kappa for nonsquare tables

    Do you know that STATA does that it lets you handle it? Is it still fitting everything as if it were a square matrix and applying some sort of 'continuity correction'? I remember some software just throw in a 0.5 if there are 0s anywhere.
  13. spunky

    2 sample z test - Standardized Effect Size

    If you're assuming a Gaussian mixture then your answer is wrong UNLESS you further assume that the population means are zero. The general expression for the variance of a mixture is: \sigma^{2}=\sum_{i=1}^{k}p_i(\mu^{2}_i+\sigma^{2}_i)-\mu (where \mu is the grand mean of the mixture) So if...
  14. spunky

    Heterodastic thread on heteroskedasticity

    Well, the first part of my code has the DGP (Data Generation Process) so you can always reduce the simulated sample sizes to have a better look. Right now I'm doing 100 level 1 units (e.g. "kids") in 100 level 2 units (e.g. "classrooms") so if this were real data, my total sample size would be...
  15. spunky

    Heterodastic thread on heteroskedasticity

    What'cha mean by that? Like plotting the standardized/studentized residuals as opposed to raw residuals?