Swinburne
Browse

Qualitative interviewing of older adults: offline versus online methods

Download (236.08 kB)
conference contribution
posted on 2024-07-13, 06:37 authored by Sue Malta
The current paper is based on a study of 45 Australian older adults (aged 60 â- 92 years) and their offline and online romantic relationships. It discusses the four different interview methods that were used to collect the data: (i) face-to-face, (ii) telephone, (iii) instant messaging and (iv) email. It is argued that with increasing numbers of older adults making use of the Internet, online interviewing provides researchers in ageing a further means of access to segments of this population. Online interviewing has many benefits, not least of which are that it is both cost effective and efficient. Furthermore, if the nature of the research topic is of a potentially sensitive nature, as in the project reported here (love, sex and intimacy), the use of online interviewing can help alleviate potentially embarrassing and confrontational moments which can occur for both researcher and participants with more traditional face-to-face and telephone interviewing methods.

History

Available versions

PDF (Published version)

Journal title

8th National Emerging Researchers in Ageing Conference: A New Era for Ageing Research: What's in Your Toolkit? (ERA 2009), Melbourne, Victoria, Australia, 23 October 2009

Conference name

8th National Emerging Researchers in Ageing Conference: A New Era for Ageing Research: What's in Your Toolkit? ERA 2009, Melbourne, Victoria, Australia, 23 October 2009

Publisher

Monash University

Copyright statement

Copyright © 2009 The published version is reproduced with the permission of the publisher.

Notes

This paper was awarded the Australian Association of Gerontology - Victoria Prize for Best Paper Presentation by a Victorian Student 2009

Language

eng

Usage metrics

    Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC