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Original Articles

How can individual differences in autobiographical memory distributions of older adults be explained?

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Pages 1287-1299 | Received 20 Mar 2015, Accepted 27 Sep 2015, Published online: 22 Oct 2015
 

ABSTRACT

The reminiscence bump phenomenon has frequently been reported for the recall of autobiographical memories. The present study complements previous research by examining individual differences in the distribution of word-cued autobiographical memories. More importantly, we introduce predictor variables that might account for individual differences in the mean (location) and the standard deviation (scale) of individual memory distributions. All variables were derived from different theoretical accounts for the reminiscence bump phenomenon. We used a mixed location-scale logitnormal model, to analyse the 4602 autobiographical memories reported by 118 older participants. Results show reliable individual differences in the location and the scale. After controlling for age and gender, individual proportions of first-time experiences and individual proportions of positive memories, as well as the ratings on Openness to new Experiences and Self-Concept Clarity accounted for 29% of individual differences in location and 42% of individual differences in scale of autobiographical memory distributions. Results dovetail with a life-story account for the reminiscence bump which integrates central components of previous accounts.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. To obtain these results, one calculates for location andfor scale. Note that for scale, the estimate has been exponentiated twice: the “inner” exponentiation is to guarantee that the resulting standard deviation is positive and the “outer” exponentiation then does the transformation back to the original scale of age bins.

2. In Model 4, age was entered grand-mean-centred and gender was dummy-coded with 0 = male and 1 = female. For men of average age (i.e., 74 years), mean-centred age is 0, and thus the scale estimate in original age units can be calculated as:For women of average age, the scale in original units is:In contrast, for individuals 15 years older than the average age (i.e., 89 years), the scale can be calculated as:for men andfor women.

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