In Phase 2 of Jockey Club SMART Family-Link Project, the Department of Social Work at Hong Kong Baptist University provided social services professionals with a training program to:
(1) enhance capabilities by developing evidence-based blended modes of service to support families in need.
(2) enhancing professionals' knowledge of conducting evidence-based practice and blended modes of services
(3) nurturing innovative capabilities and research insights to navigate clinical practice in this rapidly changing digital transformation era.
5 cores on research design for social service:
Module 1: An overview/ Introduction on evidence-based research, evidence-based practice, and evidenced practice in information and communication era
Module 2: Research design for social service (1)/ Research question and hypothesis, hierarchy of evidence, experimental design, quasi-experimental design, advanced research designs (eg. stepped wedge randomized design, ecological momentary evaluation)
Module 3: Research design for social service (2)/ How to choose outcome and corresponding measurement instruments, randomization and sampling, single and double-blinding design
Module 4: Assess programme effectiveness through research/ Statistics knowledge in analysing data from evidence-based research: repeated measure ANOVA and t-test analysis
Module 5: Using descriptive data to gain an in-depth understanding of people and service/ Qualitative research and data analysis focus group, in-depth interviews, content analysis
Document Link(Core 1) | |
Document Link(Core 2) |
Document Link(Core 3) | |
Document Link(Core 4) |
Document Link(Core 5) |
Organized by the Department of Social Work at Hong Kong Baptist University as part of the Jockey Club SMART Family-Link Project. The speakers of 5 modules are Professor Daniel Wong (Chair Professor, Department of Social Work, HKBU), Dr. Xiaoyu Zhuang (Assistant Professor, Department of Social Work, HKBU) and Dr. Xiaolu Dai (Assistant Professor, Department of Social Work, HKBU)
ICT related/innovation, Research