A new association analysis method for semantic differential data and its application to tone color analysis

Author

Kato, Yuichi ; Saeki, Tetsuro

Author_Institution

Dept. of Math. & Comput. Sci., Shimane Univ., Matsue

fYear

2008

fDate

12-15 Oct. 2008

Firstpage

125

Lastpage

130

Abstract

Taking the factor analysis problem of tone color, this paper finds that a semantically inconsistent correlation may occur if conventional factor analysis is applied to the data rated by the semantic differential in order to construct the correlation matrix. This paper proposes a new association analysis between two variables not using the correlation, and constructs a new factor analysis on the new association. The validity and usefulness of the proposed method, and the differences between it and the conventional technique are presented and discussed by comparison.

Keywords

data mining; psychology; association analysis method; correlation matrix; factor analysis problem; semantic differential data; tone color analysis; Application software; Area measurement; Colored noise; Computer science; Image color analysis; Image recognition; Information analysis; Mathematics; Random variables; Reactive power; Factor analysis; Interval scale; Ordinal scale; Semantic differential technique; Tone color;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on

Conference_Location

Singapore

ISSN

1062-922X

Print_ISBN

978-1-4244-2383-5

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2008.4811262

Filename

4811262