Model specification search using a genetic algorithm with factor reordering for a simple structure factor analysis model

Hiroto Murohashi*, Hideki Toyoda

*この研究の対応する著者

研究成果: Article査読

2 被引用数 (Scopus)

抄録

Many techniques for automated model specification search based on numerical indices have been proposed, but no single decisive method has yet been determined. In the present article, the performance and features of the model specification search method using a genetic algorithm (GA) were verified. A GA is a robust and simple metaheuristic algorithm with great searching power. While there has already been some research applying metaheuristics to the model fitting task, we focus here on the search for a simple structure factor analysis model and propose a customized algorithm for dealing with certain problems specific to that situation. First, implementation of model specification search using a GA with factor reordering for a simple structure factor analysis is proposed. Then, through a simulation study using generated data with a known true structure and through example analysis using real data, the effectiveness and applicability of the proposed method were demonstrated.

本文言語English
ページ(範囲)179-191
ページ数13
ジャーナルJapanese Psychological Research
49
3
DOI
出版ステータスPublished - 2007 9月

ASJC Scopus subject areas

  • 心理学(全般)

フィンガープリント

「Model specification search using a genetic algorithm with factor reordering for a simple structure factor analysis model」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル