1 option
Researching quality of life among families of children with Autism Spectrum Disorder : an application of mixed methods / Emily Gardiner, Grace Iarocci.
- Format:
- Book
- Author/Creator:
- Gardiner, Emily, author.
- Iarocci, Grace, author.
- Series:
- SAGE Research Methods. Cases. Part 2.
- SAGE Research Methods. Cases. Part 2
- Language:
- English
- Subjects (All):
- Social sciences--Research--Methodology--Research--Case studies.
- Social sciences.
- Research--Methodology--Research--Case studies.
- Research.
- Autism spectrum disorders--Research--Case studies.
- Autism spectrum disorders.
- Mixed methods research--Case studies.
- Mixed methods research.
- Physical Description:
- 1 online resource.
- Place of Publication:
- London : SAGE Publications Ltd, 2017.
- Summary:
- This research methods case describes my dissertation research, which utilized a mixed-methods design to examine quality of life among families of children with autism spectrum disorder. A large group or participants completed surveys over the phone and online, and a smaller subset participated in follow-up interviews. The case presents an overview of the methodological challenges we confronted, including consideration of how best to engage diverse participants and choosing appropriate survey tools, given the unique needs of our population. We describe the strategies we employed to address these challenges and reflect on their effectiveness. In particular, we highlight a unique approach in which we hosted Knowledge Translation events that brought together individuals with autism spectrum disorder and their families with researchers, service providers, clinicians, and government representatives. These events proved critical across the research process, as they informed the original study design, served as a venue for participant recruitment, and inspired the inclusion of key questions within the interview guide. We also discuss methods of engaging hard-to-reach populations. The methodological implications of the study design and methodology are reviewed, and recommendations to future researchers are presented.
- Notes:
- Description based on XML content.
- ISBN:
- 9781473997080 (ebook) :
- 9781473997080
- OCLC:
- 972637425
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.