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Using Best-Worst Scaling Methodology to Assess Caregivers' Preferences for Intervention Goals for Their 3-8-Year-Old Autistic Children in Mainland China / Lin Sun.

Sage Research Methods Data and Research Literacy 2025 Available online

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Format:
Book
Author/Creator:
Sun, Lin, author.
Language:
English
Subjects (All):
Autistic children.
Caregivers.
Scaling (Social sciences).
Physical Description:
1 online resource : illustrations
Other Title:
Using best-worst scaling methodology to assess caregivers' preferences for intervention goals for their three -eight year-old autistic children in Mainland China
Place of Publication:
London, England : SAGE Publications Ltd, 2025.
Summary:
This case study demonstrates the application of the Best-Worst Scaling (BWS) methodology in autism intervention research, drawing from a dissertation project conducted in a resource-limited country. The dissertation examined caregivers' preferences for intervention goals for their 6- to 8-year-old children on the autism spectrum in mainland China. Researchers and practitioners will learn how to implement BWS methodology to systematically assess stakeholder preferences, from initial study design through data analysis.The case study addresses key methodological challenges, including item selection, experimental design optimization, and strategies for data collection in resource-limited contexts. Special attention is given to practical considerations when working with caregivers of autistic children. By following this step-by-step framework, researchers can effectively use BWS to enhance family-centered decision-making in intervention planning. At the same time, practitioners will gain insights into incorporating structured preference assessment into their clinical practice. This methodological approach is particularly valuable for researchers and clinicians who seek to prioritize stakeholder perspectives in intervention development and implementation.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-03-621673-X
9781036216733
OCLC:
1523170300

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