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[研究ノート] 因子分析的研究におけるmisuseとartifact
http://hdl.handle.net/10112/13343
http://hdl.handle.net/10112/133439aa94ae3-dbb1-48d6-a90c-bc2aea1d78b0
名前 / ファイル | ライセンス | アクション |
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KU-1100-20180331-08.pdf (1.1 MB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2018-05-14 | |||||
タイトル | ||||||
タイトル | [研究ノート] 因子分析的研究におけるmisuseとartifact | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
その他のタイトル | ||||||
その他のタイトル | Misuse and Artifact in Factor Analytic Research | |||||
著者 |
清水, 和秋
× 清水, 和秋 |
|||||
著者別名 | ||||||
姓名 | Shimizu, Kazuaki | |||||
概要 | ||||||
内容記述タイプ | Other | |||||
内容記述 | The theory of factor analysis has been developed for incorporating mathematical statistical theories such as the maximum likelihood method and asymptotic methods. However, there have been several instances of misuse while employing procedures for factor analysis studies. In several studies, factor analysis has been performed by deleting items exhibiting the ceiling effect or floor effect. The number of samples required for factor analysis is not well known. Kaiser-Guttman criterion cannot be applied for determining the number of factors. Furthermore, various studies have employed Scree Graphs and Parallel Analysis for the said purpose, but no definitive method exists for the same. Orthogonal rotation methods such as Varimax cannot be considered as a conclusive solution. However, Geomin has been considered as a better rotation method not only for simple structure but also for more complex factor configuration. Simple structure and bifactor structure are discussed in connection to factor rotation problem. Although there are various artifacts associated with the usage of factor analysis, this issue can be addressed by verifying factorial invariance through multi-group simultaneous analysis incorporated by SEM programs such as Mplus and R Package. | |||||
概要 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 因子分析の理論は、最尤法と漸近的方法のような数理統計学的理論を組み込んだ形で発展してきた。しかしながら、因子分析研究の手順にはまだ誤用がみられる。いくつかの研究において、天井効果や床効果を示す項目を削除して因子分析が行われている。因子分析に必要なサンプル数は明確ではない。因子の数を決定するためにKaiser-Guttman 基準は使うことはできない。そして、この目的でScree Graph とParallel Analysis を使用している研究は数多くあるが、そのための決定的な方法はない。Varimax のような直交回転は最終的な解と考えることはできない。しかしながら、Geomin は単純構造だけでなくより複雑な因子の布置に対しても優れた回転方法と考えられている。因子回転問題を考慮した単純構造とbifactor 構造について議論した。因子分析の使い方には多くのartifacts があるが、この問題は、Mplus やR Package などのSEMプログラムによって組み込まれた複数集団の同時分析によって因子的不変性を検証することによって対処することができる。 | |||||
書誌情報 |
関西大学社会学部紀要 巻 49, 号 2, p. 191-211, 発行日 2018-03-31 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 02876817 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AN00046982 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | 関西大学社会学部 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 関西大学 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Kansai University | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | exploratory factor analysis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | artifact | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | bifactor structure | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | factorial invariance | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 探索的因子分析 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | bifactor構造 | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | 因子的不変性 |