Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability

Data often have a nested, multilevel structure, for example when data are collected from children in classrooms. This kind of data complicate the evaluation of reliability and measurement invariance, because several properties can be evaluated at both the individual level and the cluster level, as w...
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Gespeichert in:

Autor*in:	Suzanne Jak [verfasserIn] Terrence D. Jorgensen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	measurement invariance multilevel structural equation modeling multilevel confirmatory factor analysis cross-level invariance multilevel reliability

Übergeordnetes Werk:	In: Frontiers in Psychology - Frontiers Media S.A., 2010, 8(2017)
Übergeordnetes Werk:	volume:8 ; year:2017

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fpsyg.2017.01640

Katalog-ID:	DOAJ072863218

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callnumber-first	B - Philosophy, Psychology, Religion
author	Suzanne Jak
spellingShingle	Suzanne Jak misc BF1-990 misc measurement invariance misc multilevel structural equation modeling misc multilevel confirmatory factor analysis misc cross-level invariance misc multilevel reliability misc Psychology Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability
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title	Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability
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title_auth	Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability
abstract	Data often have a nested, multilevel structure, for example when data are collected from children in classrooms. This kind of data complicate the evaluation of reliability and measurement invariance, because several properties can be evaluated at both the individual level and the cluster level, as well as across levels. For example, cross-level invariance implies equal factor loadings across levels, which is needed to give latent variables at the two levels a similar interpretation. Reliability at a specific level refers to the ratio of true score variance over total variance at that level. This paper aims to shine light on the relation between reliability, cross-level invariance, and strong factorial invariance across clusters in multilevel data. Specifically, we will illustrate how strong factorial invariance across clusters implies cross-level invariance and perfect reliability at the between level in multilevel factor models.
abstractGer	Data often have a nested, multilevel structure, for example when data are collected from children in classrooms. This kind of data complicate the evaluation of reliability and measurement invariance, because several properties can be evaluated at both the individual level and the cluster level, as well as across levels. For example, cross-level invariance implies equal factor loadings across levels, which is needed to give latent variables at the two levels a similar interpretation. Reliability at a specific level refers to the ratio of true score variance over total variance at that level. This paper aims to shine light on the relation between reliability, cross-level invariance, and strong factorial invariance across clusters in multilevel data. Specifically, we will illustrate how strong factorial invariance across clusters implies cross-level invariance and perfect reliability at the between level in multilevel factor models.
abstract_unstemmed	Data often have a nested, multilevel structure, for example when data are collected from children in classrooms. This kind of data complicate the evaluation of reliability and measurement invariance, because several properties can be evaluated at both the individual level and the cluster level, as well as across levels. For example, cross-level invariance implies equal factor loadings across levels, which is needed to give latent variables at the two levels a similar interpretation. Reliability at a specific level refers to the ratio of true score variance over total variance at that level. This paper aims to shine light on the relation between reliability, cross-level invariance, and strong factorial invariance across clusters in multilevel data. Specifically, we will illustrate how strong factorial invariance across clusters implies cross-level invariance and perfect reliability at the between level in multilevel factor models.
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title_short	Relating Measurement Invariance, Cross-Level Invariance, and Multilevel Reliability
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