Blar i Publikasjoner fra CRIStin - BI på tidsskrift "Structural Equation Modeling"

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    • Pernicious Polychorics: The Impact and Detection of Underlying Non-normality 

      Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2019)
      Ordinal data in social science statistics are often modeled as discretizations of a multivariate normal vector. In contrast to the continuous case, where SEM estimation is also consistent under non-normality, violation of ...

    • Testing Model Fit by Bootstrap Selection 

      Grønneberg, Steffen; Foldnes, Njål (Journal article; Peer reviewed, 2018)
      Over the last few decades, many robust statistics have been proposed in order to assess the fit of structural equation models. To date, however, no clear recommendations have emerged as to which test statistic performs ...

    • The asymptotic covariance matrix and its use in simulation studies 

      Foldnes, Njål; Grønneberg, Steffen (Journal article; Peer reviewed, 2017)
      The asymptotic performance of structural equation modeling tests and standard errors are influenced by two factors: the model and the asymptotic covariance matrix Γ of the sample covariances. Although most simulation studies ...

    • The choice of normal-theory weight matrix when computing robust standard errors in confirmatory factor analysis 

      Foldnes, Njål; Olsson, Ulf H. (Journal article; Peer reviewed, 2019)
      Robust standard errors are of central importance in confirmatory factor models. In calculating these statistics a central ingredient is the inverse of the asymptotic covariance matrix of second-order moments calculated ...