Development of the stability evaluation system for the rotated solutions in factor analysis and principal component analysis
因子分析和主成分分析中旋转解稳定性评价系统的开发
基本信息
- 批准号:11610097
- 负责人:
- 金额:$ 1.02万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (C)
- 财政年份:1999
- 资助国家:日本
- 起止时间:1999 至 2000
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The objectives of this research are to provide the theoretical results for the stability of rotated solutions in factor analysis and principal component analysis, and to develop a software to obtain the standard errors of the solutions which can be used in actual data analysis.1. Theoretical results for the stability of rotated solutions(1) A general formula for the standard errors of the rotated solutions, which are frequently used in practice, is provided. Especially, the formula for the standard errors of the obliquely rotated solutions by the general symmetric family of quartic criteria has been provided.(2) For principal component analysis, the standard errors are also obtained by applying a similar method used in factor analysis i.e., the method using the augmented information matrix.2. Development of the software : Rosef Version 1.0(1) Name : Rosef 1.0 (A subroutine library for the ROtated solutions with their asymptotic Standard Errors in Factor analysis)(2) Language and usage : Fortran 90 subroutines(3) Rotated solutions : Orthogonal and oblique solutions e.g., procrustes solutions, promax solutions, and Harris-Kaiser orthoblique solutions(4) Manual : A user's guide of 47 pages in English is available.
本研究的目的是为因子分析和主成分分析中旋转解的稳定性提供理论结果,并开发一套软件来获得可用于实际数据分析的解的标准误差。旋转解稳定性的理论结果(1)给出了实际中经常使用的旋转解的标准误差的一般公式。特别是给出了一般对称四次判据的斜旋解的标准误差公式。(2)对于主成分分析,还应用了因子分析中的一种类似的方法,即利用增广信息矩阵的方法来获得标准误差。软件开发:Rosef Version 1.0(1)名称:Rosef 1.0(因子分析中旋转解及其渐近标准误差的子程序库)(2)语言和用法:Fortran 90子例程(3)旋转解:正交解和斜解,例如Prorustes解、Promax解和Harris-Kaiser正斜解(4)手册:47页英文用户指南。
项目成果
期刊论文数量(27)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Ogasawara, H.: "Standard errors for the Harris-Kaiser Case II orthoblique solution."Behaviormetrika. 27(2). 89-103 (2000)
小笠原 H.:“Harris-Kaiser Case II orthoblique 解决方案的标准误差。”Behaviormetrika。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Ogasawara,H.: "Standard errors for procrustes solutions."Japanese Psychological Research. 41・2. 121-131 (1999)
小笠原 H.:“Procrustes 解决方案的标准错误。”日本心理学研究 41・2(1999)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Ogasawara, H.: "Exploratory second-order analyses for components and factors."Japanese Psychological Research. (in press).
小笠原 H.:“成分和因素的探索性二阶分析。”日本心理学研究。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Ogasawara,H.: "Standard errors of the principal component loadings for unstandardized and standardized variables."British Journal of Mathematical and Statistical Psychology.. 53. 155-174 (2000)
小笠原 H.:“非标准化和标准化变量的主成分载荷的标准误差。”英国数学与统计心理学杂志.. 53. 155-174 (2000)
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Ogasawara,H.: "Standard errors of the principal component loadings for unstandardized and standardized variables."British Journal of Mathematical and Statistical Psychology. 53. 155-174 (2000)
小笠原 H.:“非标准化和标准化变量的主成分载荷的标准误差。”英国数学与统计心理学杂志。
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- 影响因子:0
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OGASAWARA Haruhiko其他文献
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{{ truncateString('OGASAWARA Haruhiko', 18)}}的其他基金
Applications of asymptotic theory to data analysis in behaviormetrics with discrete and continuous variables
渐近理论在离散和连续变量行为计量数据分析中的应用
- 批准号:
23500341 - 财政年份:2011
- 资助金额:
$ 1.02万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Applications of asymptotic theory to statistics such as covariances used in behaviormetrics
渐近理论在统计中的应用,例如行为度量中使用的协方差
- 批准号:
20500249 - 财政年份:2008
- 资助金额:
$ 1.02万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Asymptotic expansions of the estimators in covariance structures with some robustness issues on normal-theory asymptotic cumulants under nonnormality
协方差结构中估计量的渐近展开,以及非正态下正态理论渐近累积量的一些鲁棒性问题
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18500210 - 财政年份:2006
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$ 1.02万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Applications of asymptotic theory to factor analysis and structural equation modeling
渐近理论在因子分析和结构方程建模中的应用
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16500167 - 财政年份:2004
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14580343 - 财政年份:2002
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$ 1.02万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
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