Hypothesis Generation
Deriving testable scientific hypotheses from a research context
Prompt template
Help me develop scientifically grounded hypotheses for my research project on [RESEARCH TOPIC] in the field of [FIELD]. **Background**: [BRIEF DESCRIPTION OF THE RESEARCH PROBLEM] Please complete the following steps: 1. **Theoretical Grounding**: Which established theories or models provide the foundation for hypotheses on this topic? 2. **Hypothesis Formulation**: Develop at least three clearly stated, testable hypotheses (H1, H2, H3 …) in "if … then …" format or as directional/non-directional statements about the relationship between [VARIABLE A] and [VARIABLE B]. 3. **Null Hypotheses**: Formulate the corresponding null hypotheses (H0). 4. **Operationalisation**: Suggest how the key constructs could be measured. 5. **Plausibility Check**: Evaluate each hypothesis for theoretical justification and empirical testability. Research paradigm: [QUALITATIVE / QUANTITATIVE / MIXED-METHODS]
Replace placeholders in [square brackets]: [RESEARCH TOPIC][FIELD][BRIEF DESCRIPTION OF THE RESEARCH PROBLEM][VARIABLE A][VARIABLE B][QUALITATIVE / QUANTITATIVE / MIXED-METHODS]
How to use this template
Copy the prompt, replace the placeholders in square brackets with your details and paste it into the AI assistant of your choice. The more precise your details, the better the result.
Tips for better results
- Describe the research problem as concretely as possible so the hypotheses are precise and relevant.
- State your research paradigm upfront — it significantly shapes how hypotheses should be framed.
- If preliminary findings already exist, include them to enable inductively derived hypotheses.
Suitable open models
The selection names current open models as a starting point for your own tests. It is not a measurement for this template.
Keywords: #hypothese #forschungsdesign #variablen #theorie #operationalisierung