Hypothesis
Methodology & design
A testable, falsifiable statement predicting a relationship between variables, stated as a null (no effect) and an alternative (an effect).
A hypothesis is a specific, testable statement predicting a relationship between variables. It converts a broad research question into something a statistical test can evaluate, and it must be falsifiable — capable in principle of being contradicted by data.
A directional hypothesis predicts which way the relationship runs (service quality positively influences loyalty) and is tested one-tailed; a non-directional one predicts a relationship without specifying direction and is tested two-tailed. Direction should be justified by theory or prior findings, not chosen to make significance easier.
Each hypothesis pairs with a null hypothesis of no effect, and the test evaluates the null. Number them (H1, H2, H3) consistently across your conceptual framework, methodology and results chapters, and state each one as a full sentence naming both variables and the expected direction.
Where it's used
- Framing quantitative studies before data collection
- Structuring the analysis plan and results chapter
Related concepts
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