Summary of "Qualitative vs Quantitative vs Mixed Methods Research: How To Choose Research Methodology"

Concise summary — main ideas and lessons

Choose your research strategy to fit your aims: exploratory → qualitative, confirmatory → quantitative, both → mixed methods. Prioritize alignment between aims, disciplinary norms, and practical constraints.

Purpose of the video

Explain the three overarching research strategies (qualitative, quantitative, mixed methods).
Give practical guidance on choosing the right methodology for a dissertation, thesis, or research project.

Definitions and core differences

Qualitative

Uses non-numeric data (words, concepts, perceptions).
Subjective, exploratory; aims to build rich understanding and generate hypotheses/theories (inductive).
Typical methods: interviews, focus groups, thematic analysis.
Example: interviews to explore what product attributes matter to laundry detergent buyers.

Quantitative

Uses numeric data and statistics.
Objective, confirmatory; used to test hypotheses and measure differences/relationships (deductive).
Typical methods: surveys and statistical analysis.
Example: a survey to measure the percentage who prioritize price when choosing detergent, or to compare political leanings across groups.

Mixed methods

Combines qualitative and quantitative data/approaches.
Typical sequences:
- Qualitative → develop hypotheses → quantitative test.
- Quantitative → identify trends → qualitative explore reasons.
Not inherently superior — use mixed methods only when the research genuinely requires both types.

Key recommendations

Match methodology to purpose:
- Exploratory → qualitative.
- Confirmatory → quantitative.
- Both → mixed methods.
For first-time researchers, prefer a well-executed mono-method (qualitative or quantitative) over a poorly executed mixed-method approach unless mixed methods are clearly warranted.
Ensure strong alignment between:
1. Research aims/questions,
2. Disciplinary norms and literature precedents,
3. Practical constraints (resources, time, access, skills). Misalignment leads to weak or incoherent research.

Detailed, actionable guidance — methodology selection (step-by-step / checklist)

Decide the overarching approach based on your research aims/questions
- Identify whether your aim is:
  - Exploratory (develop understanding, generate theory/hypotheses) → lean qualitative.
  - Confirmatory (test hypotheses, measure relationships/differences) → lean quantitative.
  - Mixed (both generate and test) → consider mixed methods.
- If your project mixes aims but word/count or resources are tight, consider narrowing scope to one approach.
Review disciplinary norms and existing literature
- Survey how similar studies in your field approach comparable questions.
- Consider adopting validated instruments (e.g., established survey scales with reported reliability such as Cronbach’s alpha) to save time and strengthen measurement quality.
- Don’t copy methods blindly — ensure they fit your specific aims and context.
Evaluate practicalities and constraints (trade-offs between ideal and feasible)
- Data access: Can you obtain the data you need? Are ethical approvals required?
- Time: How long to collect sufficient interviews or survey responses? Can you do longitudinal work in your timeframe?
- Money: Budget for incentives, travel, facilities, transcription, etc.
- Equipment & software: Need for recording devices, lab equipment, analysis software (and access).
- Knowledge & skills: Do you have the skills for chosen methods? How long to learn them? What is your backup plan if you cannot acquire them?
- Choose the option that balances rigor and feasibility.
After choosing the overarching approach
- Flesh out the methodology: sampling strategy, specific data-collection methods, and analysis techniques.
- Strongly justify each design choice in your dissertation or thesis.

Practical tips and cautions

Alignment matters: aims/questions, literature norms, and practical constraints must be coherent.
Use validated measures from the literature when possible to increase reliability and save effort.
If constrained (time/word count/resources), do fewer things well rather than many things poorly.
The presenter refers to Grad Coach blog and separate videos for deeper instruction on specific analysis methods; coaching services are offered for hands-on help.

Examples used to illustrate concepts

Laundry detergent study
- Qualitative: interviews/focus groups to identify factors customers consider.
- Quantitative: survey to quantify what percentage prioritizes price and differences across groups.
War veterans’ political views
- Qualitative: explore veterans’ perspectives with interviews.
- Quantitative: measure distribution of political leaning by state or compare vets to non-vets using survey data.