Three-mode multigroup and four-mode multivariate analysis for semantic differential data: An exploratory positioning analysis

Hideki Toyoda, Akihiro Saito

研究成果: Article査読

1 被引用数 (Scopus)

抄録

Semantic differential data (SD data) are three-mode data, consisting of "respondent," "scale," and "target." If the target consists of a combination of superordinate concepts, the data are four-mode or greater. If the respondent is multigroup, then the data are three-mode multigroup data. The purpose of the present study is to propose an exploratory positioning analysis method for analyzing semantic differential data as indicated above, based on Toyoda (2001a). This new method can be implemented easily by using structural equation modeling (SEM) programs such as LISREL and CALIS, because the mean structure and covariance structure of this method can be expressed as submodels of structural equation modeling.

寄稿の翻訳タイトルThree-mode multigroup and four-mode multivariate analysis for semantic differential data: An exploratory positioning analysis
本文言語Japanese
ページ(範囲)414-426
ページ数13
ジャーナルJapanese Journal of Educational Psychology
53
3
DOI
出版ステータスPublished - 2005 9

Keywords

  • Covariance structure
  • Multi-mode multivariate analysis
  • Positioning analysis
  • Semantic differential data
  • Structural equation modeling

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

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