Blar i BI Open på forfatter "Moss, Jonas"

Viser treff 1-6 av 6

    • Improved Goodness of Fit Procedures for Structural Equation Models 

      Foldnes, Njål; Moss, Jonas; Grønneberg, Steffen (Peer reviewed; Journal article, 2024)
      We propose new ways of robustifying goodness-of-fit tests for structural equation modeling under non-normality. These test statistics have limit distributions characterized by eigenvalues whose estimates are highly unstable ...

    • Infinite diameter confidence sets in Hedges’ publication bias model 

      Moss, Jonas (Peer reviewed; Journal article, 2022)
      Meta-analysis, the statistical analysis of results from separate studies, is a fundamental building block of science. But the assumptions of classical meta-analysis models are not satisfied whenever publication bias is ...

    • 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 ...

    • Partial identification of latent correlations with binary data 

      Grønneberg, Steffen; Moss, Jonas; Foldnes, Njål (Journal article; Peer reviewed, 2020)
      The tetrachoric correlation is a popular measure of association for binary data and estimates the correlation of an underlying normal latent vector. However, when the underlying vector is not normal, the tetrachoric ...

    • Partial Identification of Latent Correlations with Ordinal Data 

      Moss, Jonas; Grønneberg, Steffen (Others, 2023)
      The polychoric correlation is a popular measure of association for ordinal data. It estimates a latent correlation, i.e., the correlation of a latent vector. This vector is assumed to be bivariate normal, an assumption ...