An SAS macro for implementing the modified bollen-stine bootstrap for missing data

Implementing the bootstrap using existing structural equation modeling software

Craig K. Enders

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

The Bollen-Stine bootstrap can be used to correct for standard error and fit statistic bias that occurs in structural equation modeling (SEM) applications due to nonnormal data. The purpose of this article is to demonstrate the use of a custom SAS macro program that can be used to implement the Bollen-Stine bootstrap with existing SEM software. Although this article focuses on missing data, the macro can be used with complete data sets as well. A series of heuristic analyses are presented, along with detailed programming instructions for each of the commercial SEM software packages.

Original languageEnglish (US)
Pages (from-to)620-641
Number of pages22
JournalStructural Equation Modeling
Volume12
Issue number4
DOIs
StatePublished - 2005

Fingerprint

Structural Equation Modeling
Missing Data
Bootstrap
Macros
Software
Computer programming
Software packages
Statistics
Standard error
Software Package
Statistic
heuristics
Programming
programming
statistics
Heuristics
instruction
Series
trend
Demonstrate

ASJC Scopus subject areas

  • Psychology(all)
  • Sociology and Political Science
  • Education
  • Political Science and International Relations
  • Economics, Econometrics and Finance(all)

Cite this

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