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Integrated validation of a cross-cultural emotional competence scale using Confirmatory Factor Analysis, Rasch Modeling and Exploratory Graph Analysis. [PDF]
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1988
As a general topic, confirmatory factor analysis refers to the examination of properties of linear combinations that have been defined in advance. This chapter surveys several situations in which such a priori linear combinations are likely to be found. Specifically, six major topics are discussed.
Ira H. Bernstein +2 more
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As a general topic, confirmatory factor analysis refers to the examination of properties of linear combinations that have been defined in advance. This chapter surveys several situations in which such a priori linear combinations are likely to be found. Specifically, six major topics are discussed.
Ira H. Bernstein +2 more
openaire +2 more sources
2009
As mentioned in the last chapter, a measurement model of the type illustrated in Fig. 4.1 is assumed in confirmatory factor analysis.
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As mentioned in the last chapter, a measurement model of the type illustrated in Fig. 4.1 is assumed in confirmatory factor analysis.
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1996
Confirmatory factor analysis (CFA) is based on the premise that observable variables are imperfect indicators of certain underlying, or latent, constructs. For example, variables used in the regression and path analytical models of Chapter 1, such as father’s education (FaEd), degree aspirations (Degre Asp), and highest held academic degree (Degree ...
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Confirmatory factor analysis (CFA) is based on the premise that observable variables are imperfect indicators of certain underlying, or latent, constructs. For example, variables used in the regression and path analytical models of Chapter 1, such as father’s education (FaEd), degree aspirations (Degre Asp), and highest held academic degree (Degree ...
openaire +1 more source
A Bayesian Approach to Confirmatory Factor Analysis
Psychometrika, 1981Confirmatory factor analysis is considered from a Bayesian viewpoint, in which prior information on parameter is incorporated in the analysis. An iterative algorithm is developed to obtain the Bayes estimates. A numerical example based on longitudinal data is presented.
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