Browsing CEMO Centre for Educational Measurement by Author "Van Laar, Saskia"

Now showing items 1-5 of 5

  • Caught off Base: A Note on the Interpretation of Incremental Fit Indices 
    Van Laar, Saskia; Braeken, Johan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    This note serves as a reminder that incremental fit indices are a form of standardized effect sizes and hence, all reservations with respect to interpretations of standardized effect sizes also transfer to their interpretation. ...
  • Prevalence of random responders as a function of scale position and questionnaire length in the TIMSS 2015 eighth-grade student questionnaire 
    Van Laar, Saskia; Braeken, Johan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2024)
    This study examined the impact of two questionnaire characteristics, scale position and questionnaire length, on the prevalence of random responders in the TIMSS 2015 eighth-grade student questionnaire. While there was no ...
  • Random Responders in the TIMSS 2015 Student Questionnaire: A Threat to Validity? 
    Van Laar, Saskia; Braeken, Johan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2022)
    The low-stakes character of international large-scale educational assessments implies that a participating student might at times provide unrelated answers as if s/he was not even reading the items and choosing a response ...
  • The Detection and Modeling of Direct Effects in Latent Class Analysis 
    Janssen, Jeroen H. M.; Van Laar, Saskia; De Rooij, Mark J.; Kuha, Jouni; Bakk, Zsuzsa (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
    Several approaches have been proposed for latent class modeling with external variables, including one-step, two-step, and three-step estimators. However, very little is known yet about the performance of these approaches ...
  • Understanding the Comparative Fit Index: It's all about the base! 
    Van Laar, Saskia; Braeken, Johan (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Despite the sensitivity of fit indices to various model and data characteristics in structural equation modeling, these fit indices are used in a rigid binary fashion as a mere rule of thumb threshold value in a search for ...