Finding Optimal Age Groups for Investigating Age-Related Variables

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Abstract
A problem in researching the effects of aging hasbeen the identification of ‘optimal’ age groups akin to developmental stages. This paper shows how factor analysis was used in connection with attitudinal data to segment the age range from15 to 64 years. The resulting five age groups were: 15–18, 19–26,27–39, 40–52, and 53–64 years. These age groups appear to be forming distinct attitudinal stages in the 15–64 age range. The relatively clean solution obtained here suggests experimentation with other analytical methods for cross-validation purposes.

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