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

Hiroto Murohashi, Hideki Toyoda

研究成果: Article

2 引用 (Scopus)

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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.

元の言語English
ページ(範囲)179-191
ページ数13
ジャーナルJapanese Psychological Research
49
発行部数3
DOI
出版物ステータスPublished - 2007 9 1

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ASJC Scopus subject areas

  • Psychology(all)

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