How to write a research problem that convinces your committee
The research problem is the heart of the thesis. Learn its four elements, common mistakes that weaken it, and a practical model for writing it.
A practical comparison of the three methods: when to use each, its instruments and its analysis, with a table summarizing the differences.
Choosing a methodology isn't a personal preference but a result of the nature of your research question. If your question is “how much?” or “what is the effect?”, you most likely need a quantitative method. If it's “how?” or “why?” in the sense of deep understanding, a qualitative method is closer.
It measures phenomena with numbers and tests hypotheses statistically on a sample representing a larger population. Its common instruments are closed questionnaires, tests and secondary data. It suits studies of effects, relationships and differences between groups.
It seeks to understand meanings and experiences from the participants' perspective. Its instruments are in-depth interviews, observation, document analysis and focus groups, with a small purposive sample. It's analyzed by coding and extracting themes, not with statistical tests.
It combines quantitative and qualitative data in one study, either sequentially or in parallel. For example, you start with interviews to discover the dimensions, then build a questionnaire that measures them on a large sample. It gives a fuller picture but requires time and expertise in both methods.
| Criterion | Quantitative | Qualitative | Mixed |
|---|---|---|---|
| Type of question | How much? What is the effect? | How? Why? | Both |
| Sample | Large and representative | Small and purposive | Two stages |
| Instruments | Questionnaire, tests | Interviews, observation | Combination |
| Analysis | Statistical | Coding and themes | Merging the results |
| Software | SPSS, AMOS, R | NVivo, MAXQDA | Both |
The research problem is the heart of the thesis. Learn its four elements, common mistakes that weaken it, and a practical model for writing it.
When to write questions and when to write hypotheses, the difference between the null and alternative hypotheses, and sound wording models.
The basic rules for in-text citation and the reference list, with examples for books, articles, theses and websites.