Formulating study questions and hypotheses

When to write questions and when to write hypotheses, the difference between the null and alternative hypotheses, and sound wording models.

Methodology 2 minutes read·Last updated 2026-11-01·The Otroha team

Questions and hypotheses are the bridge between the research problem, the instrument and the analysis. Each question or hypothesis must have a matching part in the instrument, a test in the analysis, and a result in the final chapter.

Questions or hypotheses?

  • Questions suit descriptive and exploratory studies, and cases where the literature isn't enough to predict the result.
  • Hypotheses suit studies of relationships, effects and differences, when you build an expectation on a theory or previous studies.
  • Many theses combine both: a descriptive question about the level of the variables, and hypotheses about the relationship between them.

Null and alternative hypotheses

The null hypothesis (H₀) denies the existence of an effect or difference, and the alternative (H₁) confirms it. In many Arab universities hypotheses are written in null form with the significance level.

A wording model

H₀: There is no statistically significant effect at the level of (α ≤ 0.05) of transformational leadership and its dimensions on organizational performance in Jordanian banks.

Criteria for a good hypothesis

  1. Statistically testable.
  2. Identify the two variables and the direction of the relationship if possible.
  3. Built on a theoretical framework, not guesswork.
  4. Short and clear, with no vague terms.
  5. Consistent with the questions and the instrument.
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