Crow, Graham
(2021).
Managing Career Endings and the Transition to Retirement, 2020.
[Data Collection]. Colchester, Essex:
UK Data Service.
10.5255/UKDA-SN-854868
This project investigates the views and experiences of later career and retired academic staff in the United Kingdom. It has a particular focus on how academics currently in post anticipate the transition to retirement and in the experiences of academics who have mainly or wholly retired (defined as the situation where the greater part or all of a person’s income comes from their pension or pensions and any continued university employment accounts for only a minor part or none of their income).
Data description (abstract)
The project involved two linked online surveys, both based on availability samples with individuals recruited by publicising the research in relevant fora. The first focused on individuals currently employed as an academic at a UK university and thinking (or starting to think) about retirement (achieved n=81). The second comprised individuals previously employed as an academic at a UK university and now mainly or wholly retired from that role (achieved n=161). For the second group, ‘mainly or wholly retired’ was defined as the situation where the greater part or all of one’s income comes from a pension or pensions and any continued university employment accounts for only a minor part or none of one’s income. Academic staff from any discipline were eligible to take part.
Data creators: |
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Sponsors: |
Leverhulme Trust
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Grant reference: |
RF-2019-623
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Topic classification: |
Labour and employment
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Keywords: |
ACADEMICS, CAREER, RETIRED, RETIRED PERSONS, RETIREMENT
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Project title: |
Managing career endings and the transition to retirement: the case of academics
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Grant holders: |
Professor Graham Crow
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Project dates: |
From | To |
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1 May 2020 | 30 September 2020 |
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Date published: |
11 May 2021 16:52
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Last modified: |
11 May 2021 16:53
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Collection period: |
Date from: | Date to: |
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1 May 2020 | 30 September 2020 |
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Country: |
United Kingdom |
Data collection method: |
The project had a mixed method research design including: two surveys (one for academic staff pre-retirement and one for those who have mainly or wholly retired from that role), an imagined futures essay component, qualitative interviews, and the analysis of documents relating to policies adopted by UK Universities that relate to the retirement of their staff. The project involved two linked online surveys, both based on availability samples with individuals recruited by publicising the research in relevant fora. The first focused on individuals currently employed as an academic at a UK university and thinking (or starting to think) about retirement (achieved n=81). The second comprised individuals previously employed as an academic at a UK university and now mainly or wholly retired from that role (achieved n=161). For the second group, ‘mainly or wholly retired’ was defined as the situation where the greater part or all of one’s income comes from a pension or pensions and any continued university employment accounts for only a minor part or none of one’s income. Academic staff from any discipline were eligible to take part. |
Observation unit: |
Individual |
Kind of data: |
Numeric |
Type of data: |
UK survey data |
Resource language: |
English |
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Data sourcing, processing and preparation: |
Survey participants were provided with an online information sheet to read before completing the survey. Completion and submission of the survey was taken to imply consent to the use of their data in the ways described in the information provided. This included consent for archiving and secondary analysis of a suitably anonymised version of the dataset. A copy of the relevant information for each survey is attached. The project was granted ethics approval from the School of Social and Political Science at the University of Edinburgh.
Survey participants were not asked to provide names or any other directly identifying personal data. However, there is a remote possibility that some combinations of variables (e.g. single year age + gender + ethnicity + discipline) might be revealing of an individual’s identity. For that reason, certain variables have been removed from the datasets entirely (e.g. ethnicity and all open text responses), while response categories have been grouped for certain others (e.g. age, discipline). A full list of these amendments is contained in the accompanying documentation (‘Managing career endings_Notes on the preparation of datasets for archiving.doc’).
For reasons of anonymity, only the survey data are being archived.
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Service
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Last modified: |
11 May 2021 16:53
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