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Behavior Research Methods

, Volume 39, Issue 2, pp 318–325 | Cite as

Applying the bootstrap to the multivariate case: Bootstrap component/factor analysis

  • Linda Reichwein Zientek
  • Bruce Thompson
Articles

Abstract

The bootstrap method, which empirically estimates the sampling distribution for either inferential or descriptive sstatistical purposes, can be applied to the multivariate case. When conducting bootstrap component, or factor, analysis, resampling results must be located in a common factor space before summary statistics for each estimated parameter can be computed. The present article describes a strategy for applying the bootstrap method to conduct either a bootstrap component or a factor analysis with a program syntax for SPSS. The Holzinger–Swineford data set is employed to make the discussion more concrete.

Keywords

Bootstrap Method Multivariate Case Bootstrap Estimate Target Matrix Multivariate Behavioral Research 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Psychonomic Society, Inc. 2007

Authors and Affiliations

  • Linda Reichwein Zientek
    • 1
  • Bruce Thompson
    • 2
    • 3
  1. 1.Department of MathematicsSam Houston State UniversityHuntsville
  2. 2.Texas A&M UniversityCollege Station
  3. 3.Baylor College of MedicineHouston

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