3 MULTIVARIATE MODELS - FACTOR-ANALYSIS, LATENT STRUCTURE-ANALYSIS, AND LATENT PROFILE ANALYSIS
3 MULTIVARIATE MODELS - FACTOR-ANALYSIS, LATENT STRUCTURE-ANALYSIS, AND LATENT PROFILE ANALYSIS
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DOI：
10.1007/bf02289845
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发表时间：
1959-01-01
期刊：
影响因子：
3
通讯作者：
GIBSON, WA
中科院分区：
文献类型：
--
作者：
GIBSON, WA
分析二分属性的因子分析模型和Lazarsfeld的潜在结构方案，以显示后者如何避免因子分析中的三个棘手问题：公共性估计，旋转，和曲线线性。然后将潜结构模型推广到潜剖面分析中，研究定量指标之间的相互关系。四个潜在的配置文件的例子，并讨论其局限性和潜在的度量和维数，从而提出的问题。高阶经验关系的方式并行其各种用途的潜在结构模型的治疗的可能性。
The factor analysis model and Lazarsfeld's latent structure scheme for analyzing dichotomous attributes are derived to show how the latter model avoids three knotty problems in factor analysis: communality estimation, rotation, and curvilinearity. Then the latent structure model is generalized into latent profile analysis for the study of interrelations among quantitative measures. Four latent profile examples are presented and discussed in terms of their limitations and the problems of latent metric and dimensionality thereby raised. The possibility of treating higher order empirical relations in a manner paralleling their various uses in the latent structure model is indicated.