Multilevel latent variable modeling in multiple populations

Siek Toon Khoo; B O Muthén; J E Gustafsson

Multilevel latent variable modeling in multiple populations

Siek Toon Khoo, B O Muthén, J E Gustafsson

Research output: Other contribution

Abstract

Modeling is described for the simultaneous analysis of two-level data in several populations. A typical example is cluster sampling of students within schools, where schools of different types are represented, eg public and private schools. Multivariate measurements on each student are assumed to give rise to a latent variable model. Of interest is to study across-population differences and similarities with respect to the within- and between-group covariance matrices and with respect to the mean vector. The methodology is illustrated by a comparative analysis of achievement structures in Catholic and public schools.

Original language	English
Publication status	Published - 1997
Externally published	Yes

Disciplines

Educational Assessment, Evaluation, and Research

Access to Document

http://gseis.ucla.edu/faculty/muthen/articles/Article_074.pdf

Cite this

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title = "Multilevel latent variable modeling in multiple populations",

abstract = " Modeling is described for the simultaneous analysis of two-level data in several populations. A typical example is cluster sampling of students within schools, where schools of different types are represented, eg public and private schools. Multivariate measurements on each student are assumed to give rise to a latent variable model. Of interest is to study across-population differences and similarities with respect to the within- and between-group covariance matrices and with respect to the mean vector. The methodology is illustrated by a comparative analysis of achievement structures in Catholic and public schools.",

author = "Khoo, {Siek Toon} and Muth{\'e}n, {B O} and Gustafsson, {J E}",

year = "1997",

language = "English",

type = "Other",

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TY - GEN

T1 - Multilevel latent variable modeling in multiple populations

AU - Khoo, Siek Toon

AU - Muthén, B O

AU - Gustafsson, J E

PY - 1997

Y1 - 1997

N2 - Modeling is described for the simultaneous analysis of two-level data in several populations. A typical example is cluster sampling of students within schools, where schools of different types are represented, eg public and private schools. Multivariate measurements on each student are assumed to give rise to a latent variable model. Of interest is to study across-population differences and similarities with respect to the within- and between-group covariance matrices and with respect to the mean vector. The methodology is illustrated by a comparative analysis of achievement structures in Catholic and public schools.

AB - Modeling is described for the simultaneous analysis of two-level data in several populations. A typical example is cluster sampling of students within schools, where schools of different types are represented, eg public and private schools. Multivariate measurements on each student are assumed to give rise to a latent variable model. Of interest is to study across-population differences and similarities with respect to the within- and between-group covariance matrices and with respect to the mean vector. The methodology is illustrated by a comparative analysis of achievement structures in Catholic and public schools.

M3 - Other contribution

ER -