ESTIMATION OF PARAMETERS IN LATENT STRUCTURE-ANALYSIS

被引：33

作者：

GOODMAN, LA

机构：

[1] University of Chicago, Chicago, 60637, IL

来源：

PSYCHOMETRIKA | 1979年 / 44卷 / 01期

关键词：

latent class models; latent structure analysis; maximum likelihood estimates;

D O I：

10.1007/BF02293792

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this note, we describe the iterative procedure introduced earlier by Goodman to calculate the maximum likelihood estimates of the parameters in latent structure analysis, and we provide here a simple and direct proof of the fact that the parameter estimates obtained with the iterative procedure cannot lie outside the allowed interval. Formann recently stated that Goodman's algorithm can yield parameter estimates that lie outside the allowed interval, and we prove in the present note that Formann's contention is incorrect. © 1979 The Psychometric Society.

引用

页码：123 / 128

页数：6

共 12 条

[1] NOTE ON PARAMETER-ESTIMATION FOR LAZARSFELD LATENT CLASS ANALYSIS [J].