Construct Validation for a Nonlinear Measurement Model in Marketing and Consumer Behavior Research
نویسندگان
چکیده
This study proposes a method to evaluate the construct validity of nonlinear measurement model. Construct validation is required when applying and structural equation models data from consumer related social science research. However, previous studies have not sufficiently discussed model its validation. focuses on convergent discriminant as important processes check whether estimated latent variables represent defined constructs. To assess in model, methods are extended new indexes investigated by simulation studies. The empirical analysis shows that better than linear both fitting validity. Moreover, concept for future research: it considers interpretability machine learning (such neural networks) because plays an role interpreting variables.
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ژورنال
عنوان ژورنال: Social Science Research Network
سال: 2021
ISSN: ['1556-5068']
DOI: https://doi.org/10.2139/ssrn.3804525