The Consequence of Ignoring a Level of Nesting in Multilevel Analysis: A Comment

This short contribution is a comment on M. Moerbeek's exploration of consequences of ignoring a level of clustering in a multilevel model, which was published in the first issue of the 2004 volume of Multivariate Behavioral Research. After having recapitulated the framework and extended the results of Moerbeek's study, we formulate two critical notes. First, we point at the incompleteness of the conclusions drawn by Moerbeek from the analytical work. The second note is concerned with the limitations of the framework itself.

[1]  P. Onghena,et al.  The Effect of Schools and Classes on Noncognitive Outcomes , 2002 .

[3]  Jerome V. D'Agostino,et al.  Instructional and School Effects on Students' Longitudinal Reading and Mathematics Achievements , 2000 .

[4]  Marie-Christine Opdenakker,et al.  The Importance of Identifying Levels in Multilevel Analysis: An Illustration of the Effects of Ignoring the Top or Intermediate Levels in School Effectiveness Research , 2000 .

[5]  G. Parcel,et al.  Multilevel Models and Unbiased Tests for Group Based Interventions: Examples from the Safer Choices Study , 2001, Multivariate behavioral research.

[6]  Anne Konu,et al.  Evaluation of Well-Being in Schools – A Multilevel Analysis of General Subjective Well-Being , 2002 .

[7]  Roel Bosker,et al.  Multilevel analysis : an introduction to basic and advanced multilevel modeling , 1999 .

[8]  Risto Lehtonen,et al.  Multilevel Statistical Models , 2005 .

[9]  Mirjam Moerbeek,et al.  A comparison between traditional methods and multilevel regression for the analysis of multicenter intervention studies. , 2003, Journal of clinical epidemiology.

[10]  Jan Van Damme,et al.  Separability in the fixed part of multilevel models , 2006, Comput. Stat. Data Anal..

[11]  Harvey Goldstein,et al.  The Influence of Secondary and Junior Schools on Sixteen Year Examination Performance: A Cross‐classified Multilevel Analysis∗ , 1997 .

[12]  Anthony S. Bryk,et al.  Hierarchical Linear Models: Applications and Data Analysis Methods , 1992 .

[13]  J. Griffith A Multilevel Analysis of the Relation of School Learning and Social Environments to Minority Achievement in Public Elementary Schools , 2002, The Elementary School Journal.

[14]  J. Kalbfleisch,et al.  Between- and within-cluster covariate effects in the analysis of clustered data. , 1998, Biometrics.

[15]  C. Swanson,et al.  Standards-Based Reform in Practice: Evidence on State Policy and Classroom Instruction from the NAEP State Assessments , 2002 .

[16]  H. Goldstein,et al.  Efficient Analysis of Mixed Hierarchical and Cross-Classified Random Structures Using a Multilevel Model , 1994 .

[17]  Jan de Leeuw,et al.  Introducing Multilevel Modeling , 1998 .

[18]  Xiaoxia Ai,et al.  Gender Differences in Growth in Mathematics Achievement: Three-Level Longitudinal and Multilevel Analyses of Individual, Home, and School Influences , 2002 .

[19]  R. Burns,et al.  Class Composition and Student Achievement in Elementary Schools , 2002 .

[20]  Mirjam Moerbeek,et al.  The Consequence of Ignoring a Level of Nesting in Multilevel Analysis , 2004, Multivariate behavioral research.