Quantitative Analysis of Group Data: Multilevel Latent Variable Models

Joseph A. Bonito

doi:10.1108/978-1-80043-500-120211006

Quantitative Analysis of Group Data: Multilevel Latent Variable Models

Joseph A. Bonito

Communication

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Scopus citations

Abstract

Multilevel approaches are generally well suited to group communication because what people say and do in groups is a function of intra- and transindividual mechanisms. This chapter first provides a brief overview of group research as a multilevel problem and then describes more modern approaches to modeling nested data using latent variable models, including multilevel structural equation modeling and latent class analysis. The chapter concludes by addressing conceptual opportunities provided by multilevel latent modeling approaches to group communication.

Original language	English (US)
Title of host publication	The Emerald Handbook of Group and Team Communication Research
Publisher	Emerald Group Publishing Ltd.
Pages	55-72
Number of pages	18
ISBN (Electronic)	9781800435001
ISBN (Print)	9781800435018
DOIs	https://doi.org/10.1108/978-1-80043-500-120211006
State	Published - Jan 1 2021

Keywords

Covariance
Invariance
Methodological design
Multilevel structural equation modeling
Nested data
Quantitative analysis

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
General Business, Management and Accounting

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10.1108/978-1-80043-500-120211006

Cite this

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KW - Covariance

KW - Invariance

KW - Methodological design

KW - Multilevel structural equation modeling

KW - Nested data

KW - Quantitative analysis

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BT - The Emerald Handbook of Group and Team Communication Research

PB - Emerald Group Publishing Ltd.

ER -

Quantitative Analysis of Group Data: Multilevel Latent Variable Models

Abstract

Keywords

ASJC Scopus subject areas

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