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What is Structural Equation Modeling (SEM)

Handbook of Research on E-Learning Applications for Career and Technical Education: Technologies for Vocational Training
is a statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions. SEM encourages confirmatory rather than exploratory modeling; thus, it is suited to theory testing rather than theory development. It usually starts with a hypothesis, represents it as a model, develops the constructs of interest with a measurement instrument, and tests the model.
Published in Chapter:
Psychometric Methods for Work Ethic Research: Factor Analysis and Structural Equation Modeling
Gregory C. Petty (University of Tennessee, USA)
DOI: 10.4018/978-1-60566-739-3.ch046
Abstract
Research in career and technical education stresses job skills, training, as well as knowledge of team work and positive work behavior. However, information regarding affective work performance is often misunderstood or misrepresented, even by well meaning teachers. This chapter is a review of salient factors affecting worker attitudes and behaviors that can be used by CTE educators and researchers to improve their educational strategies. The Occupational Work Ethic Inventory (OWEI) has been used to collect work ethic data from business and industry workers and their supervisors from several occupational areas. These results have been investigated and their relative rating of work ethic factors are reported. CTE specialists and teachers should consider research methods that utilize 21st Century statistics and techniques to assist students in working with groups and in developing work relevant curriculum. Additional research in affective workplace performance utilizing the OWEI could be useful in developing performance standards for performance improvement of workers.
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Users Behavioral Intention Towards eGovernment in an African Developing Country
Class of methodologies that seeks to represent hypothesis about summary statistics derived from empirical measurements in terms of smaller numbers of “structural” parameters defined by a hypothesized underlying model.
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Structural Equation Modeling for Systems Biology
A statistical technique for testing and estimating causal relations from a combination of measured data and assumed causalities.
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Development of an E-Service Quality Model (eSQM) to Assess the Quality of E-Service
Considered as an integration of path analysis and confirmatory factor analysis. It is a statistical technique that evaluates the plausibility of a hypothesized model.
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Going Crazy for Reviewing: The Drivers Spreading e-WOM
It is a multivariate technique allowing to study relationships between variables and latent constructs, and between latent constructs.
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The Development of the Occupational Work Ethic for K-20 Education
A statistical technique for testing and estimating causal relationships using a combination of statistical data and qualitative causal assumptions. SEM encourages confirmatory rather than exploratory modeling; thus, it is suited to theory testing rather than theory development. It usually starts with a hypothesis, represents it as a model, develops the constructs of interest with a measurement instrument, and tests the model.
Full Text Chapter Download: US $37.50 Add to Cart
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Determinants of Willingness to Pay for Green Packaging in Brunei Darussalam
Is a statistical method that analyses the relationships between latent and observed variables. It is used to test theoretical models and hypotheses in social sciences research. SEM combines path, factor, and regression analysis to estimate and validate the underlying relationships between variables.
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Using Partial Least Squares in Digital Government Research
Statistical technique that allows simultaneously testing the measurement and structural models. Two of the main types of SEM are covariance-based and variance-based.6
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