Badham, Stephen and Maylor, Elisabeth Ann
(2018).
Experimental Ageing Data.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-852141
As the proportion of older adults in society continues to rise in the 21 century, geriatric research is becoming increasingly important. Ageing results in the decline of both physical and cognitive abilities and the most widespread cognitive decline is a reduction in memory ability. Recent research has found that when information is consistent with an individual’s knowledge and experience, it is easier to remember than abstract information and older adults appear to benefit from this effect more than do young adults. For example, when people are asked to remember an association between two words, age differences in memory performance are smaller for related word pairs (article-book, fatigue-sleep) compared to unrelated word pairs (article-lapel, fatigue-glass). It may therefore be possible to improve memory, particularly for older adults, by encouraging individuals to use knowledge and information that they are familiar with to support memory processes. The project will use a range of memory tests to investigate how people can use knowledge about the world to distinguish between different information in memory during retrieval; improve the chances of thinking in the same way when encoding information and when retrieving information; and reduce the amount of effort required to successfully encode and retrieve information.
Data description (abstract)
The data are a series of studies investigating how knowledge and experience may help alleviate age deficits in memory. This collection is comprised by 3 zip files, each with their own data file, codebook and ReadMe file, as well as the publication resulting. The main focus of the project was to highlight how pre-existing knowledge (familiarity) is used by individuals in memory tasks. The outcome will be to draw distinctions between the processing of familiar information and novel information. Processing of familiar and novel information occurs almost continuously in everyday life and therefore has widespread implications across many areas of psychology, neuroscience, gerontology and medicine. The key aim of the project is to provide foundation and guidance to future research by identifying fundamental aspects of cognition.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Badham Stephen |
Nottingham Trent University |
|
Maylor Elisabeth Ann |
University of Warwick |
|
|
Sponsors: |
ESRC
|
Grant reference: |
ES/K002732/1
|
Topic classification: |
Health
|
Keywords: |
ageing, memory, psychology
|
Project title: |
Age Differences in the Implementation of Knowledge and Experience to Support Memory
|
Grant holders: |
Stephen Badham, Elizabeth Maylor
|
Project dates: |
From | To |
---|
1 October 2012 | 30 September 2015 |
|
Date published: |
18 Dec 2015 10:54
|
Last modified: |
16 Aug 2018 08:18
|
Collection period: |
Date from: | Date to: |
---|
1 October 2012 | 30 September 2015 |
|
Geographical area: |
UK |
Country: |
United Kingdom |
Data collection method: |
For data in file 'BadhamMaylor2016a': Thirty-two young and 32 older adults took part in the experiment.1 Young participants were recruited from the University of Warwick and received either £6 or course credit. Older participants were all living independently and were recruited from an age study volunteer panel populated by local advertisements; they each received £10 toward their travel expenses. All participants were native English speakers except for three young adults. For data in file 'BadhamMaylor2015': Forty-eight young adults (33 female, ages 18–27 years, M = 20.0, SD = 1.9) and 48 older adults (33 female, ages 64– 86 years, M = 73.1, SD = 5.4) took part in the experiment.1 Young and older adults had similar years of education, M = 14.6, SD = 1.6, and M = 15.0, SD = 2.8, respectively (t < 1). Young participants were either recruited from the university and compensated a small amount, or they participated without compensation as part of demonstration sessions at open days for the Department of Psychology. Older adults were recruited from the local community and were given compensation toward their travel expenses. Stimuli were 16 faces presented on a computer screen above one of two names. Two highly famous individuals’ names were used: Prince William (PW) and George Bush (GB). The faces were all nonfamous individuals, but two faces were lookalikes for PWand two were lookalikes for GB (lookalike images were taken from the Internet). The remaining faces were taken from an online database (Psychological Image Collection at Stirling; http://pics.psych.stir.ac.uk/). The faces were of white males who varied in their similarity to PWand GB. For data in file 'BadhamHayFoxonKaurMaylor2016b': There were two factors: age (young vs. older adults; between participants) and prior knowledge (present vs. absent; within participants). Thirty-nine young and 36 older adults took part in the experiment (this excludes one young and two older adults who failed to follow the instructions). Young participants were recruited from the University of Warwick and received either £6 or course credit. Older participants were all living independently and were recruited from an age study volunteer panel populated by local advertisements; they each received £10 toward their travel expenses. All participants were native English speakers. Background information is summarized in Table 1, where it can be seen that young and older participants did not differ significantly in their years of education, t < 1. To assess cognitive functioning, participants completed the Digit Symbol Substitution test from the Wechsler Adult Intelligence Scale–Revised (Wechsler, 1981) as a measure of processing speed, and the multiple choice part of the Mill Hill vocabulary test (Raven, Raven, & Court, 1988) as a measure of crystallized intelligence. The results were consistent with the literature (e.g., Salthouse, 2010) in showing lower speed but higher vocabulary in older than in young adults, t(73) = −7.27 and 9.15, respectively. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
|
Resource language: |
English |
|
Rights owners: |
Name |
Affiliation |
ORCID (as URL) |
Badham Stephen |
Nottingham Trent University |
|
|
Contact: |
Name | Email | Affiliation | ORCID (as URL) |
---|
Badham, Stephen | stephen.badham@ntu.ac.uk | Nottingham Trent University | Unspecified |
|
Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
|
Publisher: |
UK Data Archive
|
Last modified: |
16 Aug 2018 08:18
|
|
Available Files
Data and documentation bundle
Documentation
Read me
Edit item (login required)
 |
Edit Item |