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measure of fatigue may depend on the day’s circumstances.
Trait measures of personality therefore overestimate stabil-
ity, whereas state measures are designed to allow for more
intraindividual variability over time. This does not mean,
however, that state measures are completely random assess-
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nonsystematic environmental demands in consistent ways.
As a matter of fact, the findings reported in this study sug-
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dramatically lower than those for personality traits; particu-
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The second reason we favor assessing both personality
traits and states is that a broader perspective is gained on
what entails important personality features in later life. By
including dimensions such as Stress, Regression, and Fa-
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We acknowledge that this study has several limitations.
The sample selection strategy and the follow-up interval
had to be different for centenarians than for the other two
age groups. We therefore had to consider the results of the
age groups separately. The selection of the participants was
from one geographic region, and results cannot be general-
ized to all older adults. The fact that only survivors of two
data waves participated limits the generalizability of our
findings as well. The survivors were younger, less de-
pressed, and more intelligent, and more apprehensive and
controlled, as well as more stressed, but less fatigued, than
the nonsurvivors. The fact that all participants resided in the
community and were cognitively well functioning at the
first measurement point, as well as the differing testing con-
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Despite these limitations, findings from the present study
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(Chiriboga, 1996). Future researchers may want to assess
the relationship between personality traits and states and life
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Acknowledgment
Address correspondence to Peter Martin, Gerontology Program, Iowa
State University, 1096 LeBaron Hall, Ames, IA 50011-1120. E-mail:
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