Multilevel item response models: an approach to errors in variables regression

Ray J Adams; M Wilson; Margaret Wu

Multilevel item response models: an approach to errors in variables regression

Ray J Adams, M Wilson, Margaret Wu

Research output: Other contribution

Abstract

In this article the authors show how certain analytic problems that arise when one attempts to use latent variables as outcomes in regression analyses can be addressed by taking a multilevel perspective on item response modelling.

Original language	English
Publication status	Published - 1997
Externally published	Yes

Keywords

Error of measurement
Estimation (Mathematics)
Item response theory
Statistical inference
Analytic problems
Algorithm

Disciplines

Educational Assessment, Evaluation, and Research

Cite this

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title = "Multilevel item response models: an approach to errors in variables regression",

abstract = " In this article the authors show how certain analytic problems that arise when one attempts to use latent variables as outcomes in regression analyses can be addressed by taking a multilevel perspective on item response modelling.",

keywords = "Error of measurement, Estimation (Mathematics), Item response theory, Statistical inference, Analytic problems, Algorithm",

author = "Adams, {Ray J} and M Wilson and Margaret Wu",

year = "1997",

language = "English",

type = "Other",

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T1 - Multilevel item response models: an approach to errors in variables regression

AU - Adams, Ray J

AU - Wilson, M

AU - Wu, Margaret

PY - 1997

Y1 - 1997

N2 - In this article the authors show how certain analytic problems that arise when one attempts to use latent variables as outcomes in regression analyses can be addressed by taking a multilevel perspective on item response modelling.

AB - In this article the authors show how certain analytic problems that arise when one attempts to use latent variables as outcomes in regression analyses can be addressed by taking a multilevel perspective on item response modelling.

KW - Error of measurement

KW - Estimation (Mathematics)

KW - Item response theory

KW - Statistical inference

KW - Analytic problems

KW - Algorithm

M3 - Other contribution

ER -