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Pregled bibliografske jedinice broj: 1213637

Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration


Burić, Irena
Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration // Methodology for Multilevel Modeling in Educational Research / Khine, Myint Swe (ur.).
Singapur: Springer, 2022. str. 99-118 doi:10.1007/978-981-16-9142-3_6


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Naslov
Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration

Autori
Burić, Irena

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
Methodology for Multilevel Modeling in Educational Research

Urednik/ci
Khine, Myint Swe

Izdavač
Springer

Grad
Singapur

Godina
2022

Raspon stranica
99-118

ISBN
978-981-16-9141-6

Ključne riječi
doubly latent multilevel structural equation modeling ; measurement and sampling errors ; multilevel mediation ; climate vs. contextual effects

Sažetak
Many previous studies that investigated the association between classroom climate variables and student outcomes have suffered from methodological flaws, such as relying exclusively on self-reports, failing to consider the appropriate level of statistical analysis, and inadequately controlling for potential measurement and sampling errors. Such analytical strategies typically lead to confounding the true effects at student and classroom levels as well as to biased estimates. The present chapter provides an overview of main concepts of doubly latent multilevel structural equation modeling (DL-MSEM) that enables testing theoretically relevant relationships at proper level of analysis (i.e., class, teacher, school) and controlling for measurement (by using multiple indicators for latent variables at student and teacher levels) and sampling errors (by incorporating the scores for different students in the same class as multiple indicators of latent variables at teacher level). In addition, an empirical illustration of data analysis with the DL-MSEM is provided by using data based on multilevel design (i.e., students nested within teachers) and drawn from multiple sources (i.e., teachers’ and students’ reports). More specifically, to assess the climate effects, each student within a class directly rated the instructional behavior of their teacher, thus making a teacher (rather than a student) the referent. In addition, teacher self-reports of their personal characteristic were combined with student reports of their teachers’ instructional behavior and student self-reports of their motivational processes. The results were interpreted in relation to the main concepts of the DL-MLSEM method.

Izvorni jezik
Engleski

Znanstvena područja
Psihologija, Obrazovne znanosti (psihologija odgoja i obrazovanja, sociologija obrazovanja, politologija obrazovanja, ekonomika obrazovanja, antropologija obrazovanja, neuroznanost i rano učenje, pedagoške discipline)



POVEZANOST RADA


Projekti:
UIP-2013-11-5065 - Nastavničke emocije i strategije emocionalne regulacije: osobni i kontekstualni antecedenti i efekti na motivaciju, dobrobit i odnose sa studentima (TEERS-ZD5) (Burić, Irena, HRZZ - 2013-11) ( CroRIS)

Profili:

Avatar Url Irena Burić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Burić, Irena
Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration // Methodology for Multilevel Modeling in Educational Research / Khine, Myint Swe (ur.).
Singapur: Springer, 2022. str. 99-118 doi:10.1007/978-981-16-9142-3_6
Burić, I. (2022) Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration. U: Khine, M. (ur.) Methodology for Multilevel Modeling in Educational Research. Singapur, Springer, str. 99-118 doi:10.1007/978-981-16-9142-3_6.
@inbook{inbook, author = {Buri\'{c}, Irena}, editor = {Khine, M.}, year = {2022}, pages = {99-118}, DOI = {10.1007/978-981-16-9142-3\_6}, keywords = {doubly latent multilevel structural equation modeling, measurement and sampling errors, multilevel mediation, climate vs. contextual effects}, doi = {10.1007/978-981-16-9142-3\_6}, isbn = {978-981-16-9141-6}, title = {Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration}, keyword = {doubly latent multilevel structural equation modeling, measurement and sampling errors, multilevel mediation, climate vs. contextual effects}, publisher = {Springer}, publisherplace = {Singapur} }
@inbook{inbook, author = {Buri\'{c}, Irena}, editor = {Khine, M.}, year = {2022}, pages = {99-118}, DOI = {10.1007/978-981-16-9142-3\_6}, keywords = {doubly latent multilevel structural equation modeling, measurement and sampling errors, multilevel mediation, climate vs. contextual effects}, doi = {10.1007/978-981-16-9142-3\_6}, isbn = {978-981-16-9141-6}, title = {Doubly Latent Multilevel Structural Equation Modeling: An Overview of Main Concepts and Empirical Illustration}, keyword = {doubly latent multilevel structural equation modeling, measurement and sampling errors, multilevel mediation, climate vs. contextual effects}, publisher = {Springer}, publisherplace = {Singapur} }

Citati:





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