Using the SPSS MIXED procedure to fit cross-sectional and longitudinal multilevel models

James L. Peugh, Craig K. Enders

Research output: Contribution to journalArticle

276 Citations (Scopus)

Abstract

Beginning with Version 11, SPSS implemented the MIXED procedure, which is capable of performing many common hierarchical linear model analyses. The purpose of this article was to provide a tutorial for performing cross-sectional and longitudinal analyses using this popular software platform. In doing so, the authors borrowed heavily from Singer's overview of SAS PROC MIXED, duplicating her analyses using the SPSS MIXED procedure.

Original languageEnglish (US)
Pages (from-to)811-835
Number of pages25
JournalEducational and Psychological Measurement
Volume65
Issue number5
DOIs
StatePublished - Oct 2005
Externally publishedYes

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Multilevel Models
SPSS
Hierarchical Linear Models
linear model
Linear Models
Software
Cross-Sectional Studies
software

Keywords

  • Hierarchical linear modeling
  • Longitudinal analysis
  • Multilevel modeling
  • Software application
  • SPSS

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Psychology(all)
  • Developmental and Educational Psychology
  • Psychology (miscellaneous)

Cite this

Using the SPSS MIXED procedure to fit cross-sectional and longitudinal multilevel models. / Peugh, James L.; Enders, Craig K.

In: Educational and Psychological Measurement, Vol. 65, No. 5, 10.2005, p. 811-835.

Research output: Contribution to journalArticle

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