Quantitative, qualitative and mixed methods: which suits your study?
A practical comparison of the three methods: when to use each, its instruments and its analysis, with a table summarizing the differences.
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.
Many plans are rejected not because the topic is weak, but because the research problem is written as a general description of a phenomenon rather than a specific gap that needs an answer. A good problem makes the reader ask: why hasn't this been studied before? And what do we lose if it stays unanswered?
A topic is a general area such as “leadership in organizations”. A problem is a specific, researchable question within that area, such as: “Does transformational leadership explain the difference in organizational performance among Jordanian banks, despite their similar systems and incentives?” The problem defines the variables, the context and the question.
Central bank reports show a notable disparity in performance indicators among local banks (reality). Despite the many studies on leadership, most focus on the public sector, and few have tested transformational leadership in the Arab banking sector (gap). Understanding this relationship helps banks direct their leader development programs (impact). The study problem is therefore defined by the question: what is the effect of transformational leadership on organizational performance in Jordanian banks? (question).
After formulating the main question, break it down into sub-questions covering the dimensions of the variables. If transformational leadership has four dimensions, each dimension may have a sub-question. This consistency between the problem, questions, hypotheses and instrument is the first thing the committee looks at.
A practical comparison of the three methods: when to use each, its instruments and its analysis, with a table summarizing the differences.
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.