AN ALTERNATIVE ESTIMATION PROCEDURE FOR PARTIAL LEAST SQUARES PATH MODELING

• Hwang Heungsun

  McGill University

• Takane Yoshio

  University of Victoria

• Tenenhaus Arthur

  CentraleSupelec-L2S, UMR CNRS 8506 and Bioinformatics/Biostatistics Platform IHU-A-ICM

抄録

Since its inception, partial least squares path modeling has suffered from the absence of a single optimization criterion for estimating component weights. A new estimation procedure is proposed to address this enduring issue. The proposed procedure aims to minimize a single least squares criterion for estimating component weights under both Mode A and Mode B. An alternating least squares algorithm is developed to minimize the criterion. This procedure provides quite similar or identical solutions to those obtained from existing Lohmöller's algorithm in real and simulated data analyses. The proposed procedure can serve as an alternative to the existing one in that it is well-grounded in theory as well as performs comparably in practice.

収録刊行物

• Behaviormetrika

  Behaviormetrika 42 (1), 63-78, 2015

  日本行動計量学会

キーワード

• Partial least squares path modeling
• Mode A
• Mode B
• schemes
• optimization criterion
• alternating least squares

詳細情報

• CRID: 1390001205113602944
• NII論文ID: 130005066297
• DOI: 10.2333/bhmk.42.63
• ISSN: 13496964
• ISSN: 03857417
• Web Site: http://link.springer.com/content/pdf/10.2333/bhmk.42.63.pdf
• Web Site: http://link.springer.com/article/10.2333/bhmk.42.63/fulltext.html
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可