HMSV5316 treats data as a practical tool for the working human services professional, not an abstract statistics exercise — students learn to collect, analyze, and interpret the kinds of data their organizations actually generate, then use that analysis to inform real program and policy decisions.
Data literacy for evidence-based decision-making
Core topics
- Data collection methods: Identifying and gathering the data relevant to a human services program or organizational question
- Data analysis: Applying analytic techniques to interpret what collected data reveals about program performance or client outcomes
- Evidence-based decision-making: Translating analytic findings into concrete decisions about programs, services, and policy
- Communicating data to stakeholders: Presenting analytic findings in ways that are clear and persuasive to non-technical audiences
HMSV5316 assignments include data analysis reports, evidence-based decision memos, and analytics presentations
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Frequently asked questions
General research methods courses are typically built around designing and conducting original studies, with statistics taught as a tool for testing hypotheses in that research context. HMSV5316 instead focuses on the kind of practical, applied data work human services professionals actually do day to day — pulling caseload data, tracking program outcomes, or analyzing community needs — and on turning that analysis directly into program or policy decisions rather than into a formal research report. The emphasis on evidence-based decision-making and stakeholder communication, rather than research design and hypothesis testing, is what makes this course distinct: it trains practitioners to use data as a working tool inside an organization, which is a different skill from conducting academic research.