BehaviorSim | About

Comparison

Methodologies before and after behaviorSim.

Planning an Experiment and Generating a Hypothesis

With a research question in mind, scientists work to choose the right behavioral theory and then must think through how it applies to the case in question.

Predictions from the chosen theory are estimated qualitatively by the researcher, who must think through the psychological processes of the subject as they go through the experiment.

Our best guess for what will happen using a repeated measures design.

Predictions from the chosen theory are examined quantitatively by creating simulations based on existing models of the chosen theory.

Predicted response to a repeated measures dosage. Note the response delay and habituation responses.

Modifying Existing Theory

We propose that existing theory is inadequate to explain phenomena observed in our experiment, and we provide a modification to the theory which explains the data.

You must read through my paper and think through the experiment from the subject's perspective in order to understand how to use it.

Our finding needs to be considered when using this theory.

Here is the new equation.

Here is how you can consider our finding in your work.

I must make a compelling argument for this contribution's importance and relevance outside of this experiment.

Model Evaluation Using Experimental Data

Our model is better than the status quo. This paper explains in detail why we think it is better and how it allows you to make predictive estimates more accurately. The p-value provides quantifiable evidence that some effect exists.

The significant difference between two groups in our experiment is best explained by our theory.

Our model is 5% more accurate than the status quo in it's estimation of our experimental data. The improved goodness of fit provides a quantifiable measure of how much the theory is improved through inclusion of this effect.