• A PROBLEM WITH DISCRETIZING VALE–MAURELLI IN SIMULATION STUDIES 

      Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2019)
      Previous influential simulation studies investigate the effect of underlying non-normality in ordinal data using the Vale–Maurelli (VM) simulation method. We show that discretized data stemming from the VM method with a ...
    • Covariance Model Simulation Using Regular Vines 

      Grønneberg, Steffen; Foldnes, Njål (Journal article; Peer reviewed, 2017)
      We propose a new and flexible simulation method for non-normal data with user-specified marginal distributions, covariance matrix and certain bivariate dependencies. The VITA (VIne To Anything) method is based on regular ...
    • Measures of Agreement with Multiple Raters: Fréchet Variances and Inference 

      Moss, Jonas (Journal article; Peer reviewed, 2024)
      Most measures of agreement are chance-corrected. They differ in three dimensions: their definition of chance agreement, their choice of disagreement function, and how they handle multiple raters. Chance agreement is usually ...
    • Measuring Agreement Using Guessing Models and Knowledge Coefficients 

      Moss, Jonas (Journal article; Peer reviewed, 2023)
      Several measures of agreement, such as the Perreault–Leigh coefficient, the AC1 , and the recent coefficient of van Oest, are based on explicit models of how judges make their ratings. To handle such measures of agreement ...