Structural equation modeling of school violence data: Methodological considerations

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Methodological challenges associated with structural equation modeling (SEM) and structured means modeling (SMM) in research on school violence and related topics in the social and behavioral sciences are examined. Problems associated with multiyear implementations of large-scale surveys are discussed. Complex sample designs, part of any large-scale survey, introduce multiple methodological challenges into SEM analysis. Problems with missing data and data imputation procedures are explored, along with commonly occurring departures from normality. Hypothesis testing of models and associated fit indices are explicated. Issues surrounding the use of Lagrange Multiplier tests of constraint validity in SMM are examined. Finally, basic problems associated with developing viable models of complex social phenomena with SEM are considered.

Original languageEnglish (US)
Pages (from-to)131-148
Number of pages18
JournalJournal of School Violence
Issue number2-3
StatePublished - Jul 14 2004
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Education
  • Safety, Risk, Reliability and Quality


  • Lagrange multiplier tests
  • Methodological
  • School violence
  • Structural equation modeling
  • Surveys


Dive into the research topics of 'Structural equation modeling of school violence data: Methodological considerations'. Together they form a unique fingerprint.

Cite this