Research Paradigms, Objectives & Mixed-Methods Overview
- Researcher’s positionality determines level of immersion in the study community.
- If already part of the in-group, closer collaboration and insider perspectives are possible.
- If an outsider, distance is maintained to avoid undue influence.
- Spectrum of engagement ranges from participant-observer to fully detached analyst.
- Choice of stance affects recruitment, data collection, ethical considerations, and interpretation.
Quantitative Approaches
- Data form: numerical; subjected to statistical analyses to detect patterns/trends.
- Design characteristics
- Precise, sequential, and objective.
- Researcher often remains separate from participants (may outsource recruitment).
- Typical methods: surveys, questionnaires, experiments.
- Emphasis on validity, reliability, and generalisability.
Qualitative Approaches
- Data form: words, images, observations—rich contextual detail.
- Researcher frequently embedded in the field, nurturing rapport.
- Best aligned with interpretivist paradigms and exploratory/descriptive objectives.
- Flexible designs (e.g., interviews, focus groups, ethnography).
- Generates thick description; uncovers meanings, processes, and lived experiences.
Mixed-Methods Designs
- Combines qualitative (QUAL) and quantitative (QUAN) strands to capitalise on strengths of each.
- Two primary logics
- Convergent (Concurrent): QUAL and QUAN collected at the same time.
- Example: Participant completes a survey then immediately sits for an interview within the same 2-hour session.
- Sequential: One strand informs the next.
- Example: Administer survey → analyse data → design interview protocol around emerging findings.
- Emphasis options (choose-your-own-adventure)
- QUAN-dominant with QUAL supplement (explanatory design).
- QUAL-dominant with QUAN supplement (exploratory design).
- Equal-status designs.
- Key goal: Synthesis—identify what is unique or complementary across strands.
Linking Paradigms, Objectives & Approaches
- Positivist paradigm
- Aligns with descriptive or explanatory objectives.
- Favour QUAN strategies.
- Interpretivist paradigm
- Aligns with exploratory or descriptive objectives.
- Favour QUAL strategies.
- Critical paradigm
- Can span all objectives and methods.
- Overarching aim: social change—address power inequities, marginalisation, and structural oppression.
- Visual model (discussed in class)
- \text{Low Knowledge} \; \longleftrightarrow \; \text{High Knowledge}
- Research questions positioned along this continuum and matched to objectives/approaches.
Ethical & Social-Justice Considerations
- Obligation to adopt socially just, anti-racist, anti-oppressive research practices.
- Researchers must reflect on personal power, privilege, and positionality.
- Cultural contextualisation extends beyond formal literature—engage with community knowledge.
- Especially critical when working with vulnerable or marginalised populations.
Relevance for Social Work
- Social workers bring multicultural, ethical, and ecological perspectives critical for rigorous QUAN designs.
- Participation in quantitative research tables ensures policies/programs reflect nuanced realities.
- Skill set
- Strong analytical & problem-solving abilities.
- Ability to spot service gaps in QUAN results and formulate follow-up QUAL studies.
- Continuous feedback loop supports theory building, rich description, and numerical evidence to influence policymakers.
Class Roadmap & Next Steps
- Upcoming sessions
- One full class on qualitative methods.
- Two classes on quantitative methods.
- One class dedicated to mixed methods.
- Slides/units 9, 7, 8, 10 cover these areas in depth.
- In-class activity
- Revisit and refine your own research question using today’s framework.
- Breakout rooms available for group discussion.
- Guiding reminder: No prescriptive formula—select paradigm, objective, and approach that best fit your specific topic.