Original scientific paper
DEVELOPING MULTIVARIATE CONFIRMATORY TECHNIQUE IN MEASURING STUDENTS SATISFACTION WITH EDUCATION PROCESS
Josip Arnerić
orcid.org/0000-0002-2901-2609
; Faculty of Economics Split, University of Split, Split, Croatia
Anita Talaja
; Faculty of Economics Split, University of Split, Split, Croatia
Ante Prka
; Faculty of Economics Split, University of Split, Split, Croatia
Abstract
Mostly used multivariate procedure for testing both the construct validity and theoretical relationships among a set of multiple variables is structural equation modeling. SEM examines the structure of interrelationships expressed in a series of equations that depict all of the relationships among constructs involved in the analysis. Constructs are unobservable or latent factors represented by multiple variables. Theory based approach is required due to fact that all relationships must be specified before the SEM model can be estimated.
Structural equation modeling, as an extension of several multivariate techniques such as factor analysis and multiple regression that have studied only a single relationship between variables, is used in this paper to examine a series of dependence relationship simultaneously in framework of students satisfaction with education. Furthermore, individual parameter estimates that represent each specific hypothesis will be examined in terms of their statistical significance.
Keywords
Measurement model; Structural equations; Education satisfaction; Maximum likelihood estimation (MLE)
Hrčak ID:
94968
URI
Publication date:
22.12.2010.
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