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PromptLab by FEHMER TECH
ENDE
Research

Experimental Design

Developing a robust experimental design for empirical research

Prompt template

Help me develop a scientifically robust experimental design for the following experiment:

**Research Question**: [RESEARCH QUESTION]
**Independent Variable(s)**: [IV]
**Dependent Variable(s)**: [DV]
**Field**: [FIELD]
**Conditions**: [LAB / FIELD, available resources, timeline]

Please develop:

1. **Experimental Design**: Recommend and justify a suitable design (e.g., completely randomised design, factorial design, crossover, within-subjects, between-subjects, quasi-experimental).

2. **Control Conditions**: Which control groups or conditions are necessary and why?

3. **Randomisation and Blinding**: How will participants or experimental units be assigned? Is single or double blinding feasible and appropriate?

4. **Confounding Variables**: Identify potential confounders and describe measures to control them.

5. **Sample Size**: Conduct a power analysis (effect size [EXPECTED EFFECT SIZE], α = [ALPHA LEVEL], power = [POWER]) to estimate the required sample size.

6. **Repeated Measures**: If applicable, describe the repeated measures design and associated statistical implications.

7. **Manipulation Check**: How will you verify that the IV manipulation was successful?

Replace placeholders in [square brackets]: [RESEARCH QUESTION][IV][DV][FIELD][LAB / FIELD, available resources, timeline][EXPECTED EFFECT SIZE][ALPHA LEVEL][POWER]

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

  • Conduct an a-priori power analysis (e.g., using G*Power) before beginning data collection.
  • Document the experimental design fully in a pre-registration (e.g., on OSF) prior to data collection.
  • Pilot testing helps identify unexpected procedural issues and conserves resources.

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: #versuchsplanung #experiment #randomisierung #poweranalyse #kontrolle

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