A measurement model defines how abstract concepts, like intelligence or customer satisfaction, are translated into observable data. It specifies which indicators or test items relate to specific latent variables, ensuring accurate quantification. Researchers, data scientists, and businesses use it to validate surveys, psychological tests, and performance metrics. By clarifying relationships between variables, it improves reliability in fields like psychology, marketing, and social sciences.
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