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

Translated title of the contribution: Three-mode multigroup and four-mode multivariate analysis for semantic differential data: An exploratory positioning analysis

Hideki Toyoda, Akihiro Saito

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Translated title of the contributionThree-mode multigroup and four-mode multivariate analysis for semantic differential data: An exploratory positioning analysis
Original languageJapanese
Pages (from-to)414-426
Number of pages13
JournalJapanese Journal of Educational Psychology
Volume53
Issue number3
DOIs
Publication statusPublished - 2005 Sep

ASJC Scopus subject areas

  • Education
  • Developmental and Educational Psychology

Fingerprint Dive into the research topics of 'Three-mode multigroup and four-mode multivariate analysis for semantic differential data: An exploratory positioning analysis'. Together they form a unique fingerprint.

  • Cite this