What question did this study set out to answer?

To introduce and evaluate MAID-M, an inductive statistical technique designed to perform predictive modeling for multivariate criteria using a set of predictor variables.

September 1, 1974Journal of the American Statistical Association

Predictive Modeling of Multivariable and Multivariate Data

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To introduce and evaluate MAID-M, an inductive statistical technique designed to perform predictive modeling for multivariate criteria using a set of predictor variables.
Developed the MAID-M algorithm based on additive multivariate measures of association.
Constructed the technique to identify the minimal subset of predictor variables that maximizes explained variation in multiple criterion variables while estimating reliability and validity.
Demonstrated the method using an empirical real-data example and benchmarked it against existing inductive statistical techniques.
MAID-M successfully identified the smallest combination of predictor variables accounting for a maximal proportion of the variation space in multivariate criteria.
The method provided direct empirical estimates of both reliability and validity for the resulting predictive models.

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Implication

Methodological study demonstrates predictive modeling for multivariate criteria using MAID-M, indicating improved selection of predictor variables.

Cite This Study

Gillo et al. (1974) studied this question.

synapsesocial.com/papers/6a0a1b5d00217ed3fb340f5e https://doi.org/10.1080/01621459.1974.10480182

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Implication

Methodological study demonstrates predictive modeling for multivariate criteria using MAID-M, indicating improved selection of predictor variables.

Predictive Modeling of Multivariable and Multivariate Data

Key Points

Discussion

Implication

Cite This Study

Predictive Modeling of Multivariable and Multivariate Data

Key Points

Discussion

Implication

Cite This Study

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