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Decision analysis model for having kids

DURHAM, N.C., Nov. 8 (UPI) -- The science of decision-making is available to help women determine when to have a child, two U.S. business scholars suggest.

Professor Ralph Keeney and doctoral student Dinah Vernik of Duke University's Fuqua School of Business developed a logical decision model to help a woman weigh her options according to her values in a systematic way.

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"This decision is too complex to logically consider all the relevant aspects intuitively in one’s head," the researchers say in a statement. "Yet, for many, it too important and consequential to simply go with one’s feeling."

The model, published in the journal Decision Analysis, doesn't discount emotion or a partner’s input but aims to balance the benefits of motherhood against the effects on career as well as age-related concerns of diminishing fertility and increasing likelihood of conceiving a child with a genetic abnormality.

The researchers said that delay of children bearing may work best for women in professional careers but other women may find having a child as a student or early in their careers may have less of an impact.

The findings are published in the journal Decision Analysis.

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