Validating an Instrument for Measuring the Developmental Outcomes for Students Arising from Service-Learning

Ka Hing LAU*, Robin Stanley SNELL

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsBook ChapterResearchpeer-review

1 Citation (Scopus)

Abstract

Service-learning has been adopted in Hong Kong tertiary education for over a decade, yet its developmental outcomes for students have not been systematically researched. One reason for this has been the lack of a standardized and comprehensive outcomes measurement instrument. Based on a review of literature on developmental outcomes arising from service-learning, consultation with local practitioners, and the need for alignment with local educational goals, the Service-Learning Outcomes Measurement Scale (S-LOMS) was developed specifically for the Hong Kong context. A pilot study was undertaken, followed by six studies to test the validity and reliability of S-LOMS. Results indicate that although S-LOMS does not have good divergent validity, it has good content, construct, and criterion validity, and is a reliable tool with high levels of Cronbach’s alpha and test–retest reliability values.

Original languageEnglish
Title of host publicationService-Learning Capacity Enhancement in Hong Kong Higher Education
EditorsGrace NGAI, Daniel T.L. SHEK
Place of Publication9789811924361
PublisherSpringer Singapore
Chapter8
Pages137-165
Number of pages29
ISBN (Electronic)9789811924378
DOIs
Publication statusPublished - 27 Sept 2022

Publication series

NameQuality of Life in Asia
Volume14
ISSN (Print)2211-0550
ISSN (Electronic)2211-0569

Bibliographical note

Funding Information:
With its content and face validity supported by the SMEs’ participation and by this pilot study, the 101-item draft S-LOMS was tested for its construct validity in three further studies, reported next.

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Developmental outcomes
  • Scale development and validation
  • Validity
  • Reliability
  • Hong Kong

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