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Modern Statistical Methods for HCILatent Variable Models

Modern Statistical Methods for HCI: Latent Variable Models [Human-computer interaction research increasingly involves investigating psychological phenomena as latent variables. In this chapter, we discuss basic latent variable models using a path model approach. In addition, we given some examples of conducting a latent variable model analysis using the lavaan package in the R statistical programming language.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Modern Statistical Methods for HCILatent Variable Models

Part of the Human–Computer Interaction Series Book Series
Editors: Robertson, Judy; Kaptein, Maurits
Beaujean, A. Alexander; Morgan, Grant B.
Modern Statistical Methods for HCI — Mar 23, 2016
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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2016
ISBN
978-3-319-26631-2
Pages
233 –250
DOI
10.1007/978-3-319-26633-6_10
Publisher site
See Chapter on Publisher Site

Abstract

[Human-computer interaction research increasingly involves investigating psychological phenomena as latent variables. In this chapter, we discuss basic latent variable models using a path model approach. In addition, we given some examples of conducting a latent variable model analysis using the lavaan package in the R statistical programming language.]

Published: Mar 23, 2016

Keywords: Structural Equation Model; Indicator Variable; Path Model; Latent Variable Model; Manifest Variable

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