Can I use stratified random assignment in a factorial experiment?


Yes, in a limited way. First, make sure you understand the answer to the FAQ “How do I randomly assign participants in a factorial experiment?”, which describes how to create lists of random numbers for random assignment purposes. You can conduct stratified assignment easily by maintaining more than one list of random numbers. For example, if you want to stratify by gender, you can maintain one list for males and one list for females. Note that stratification has the effect of ensuring that if the subject sample is, say, 40% male, each experimental condition will contain approximately 40% males.

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Further Learning

Whether you are looking for additional support as you prepare a grant proposal involving MOST or practical information helpful in managing your optimization trial, this section provides resources for a deeper dive into intervention optimization.

REDCap with Most

The goal of this manual is to show how one might setup a REDCap project to support a research study with multiple conditions, such as factorial experiments common in the Multiphase Optimization Strategy (MOST) framework.

Informal introduction to factorial experimental designs

The purpose of this page is to clarify some concepts, notation, and terminology related to factorial experimental designs, and to compare and contrast factorial experiments to randomized controlled trials (RCTs). A more in-depth introduction can...


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