Analysis of paired comparison data based on experimental design

DOI Web Site PubMed 2 Citations Open Access

Bibliographic Information

Other Title
  • 実験デザインに基づく一対比較データの解析
  • ジッケン デザイン ニ モトヅク イッツイヒカク データ ノ カイセキ コウゾウ ホウテイシキ モデリング ニ ヨル ヒョウゲン
  • Expression using structural equation modeling
  • 構造方程式モデリングによる表現

Search this article

Description

Paired comparison is a useful method for assessing ranks among several objects, and it enables us to obtain more reliable data than assessing objects one by one. But paired comparison principally provides information only about the ranks of the objects. On the other hand, experimental design provides a framework for elucidating causal associations. If we could analyze paired comparison data by the experimental design framework, it would be a very effective method. But experimental design, in its original form, is not readily applicable to paired comparison data. However, if we adopt the perspective of structural equation modeling (SEM), we can deal with paired comparison and experimental design in a unified way, because they are both submodels of SEM. The purpose of this study is to provide a new method to analyze causal connection of paired comparison data by using SEM. Here, two actual numerical examples are shown, one of which is obtained by within-subject design and the other is obtained by between-subject design.

Journal

Citations (2)*help

See more

Related Projects

See more

Keywords

Details 詳細情報について

Report a problem

Back to top