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This chapter examines factorial designs, which allow researchers to test multiple variables simultaneously and uncover their interactions. Unlike A/B testing’s singular focus, factorial designs reveal how combinations of factors—such as lighting and ceiling height—jointly influence user experience. The chapter explains main effects, interaction effects, and how to interpret them to avoid misleading conclusions. It discusses the trade-offs of increasing design complexity, including sample size requirements and statistical power considerations. Through architectural examples, readers learn how factorial designs capture the nuanced interplay of spatial elements, leading to more comprehensive insights that reflect the complexity of real-world environments.

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Factorial Design: Managing Multiple Variables

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  • 发表日期：

    2026年

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  • Chandler J. Zolan

摘要

This chapter examines factorial designs, which allow researchers to test multiple variables simultaneously and uncover their interactions. Unlike A/B testing’s singular focus, factorial designs reveal how combinations of factors—such as lighting and ceiling height—jointly influence user experience. The chapter explains main effects, interaction effects, and how to interpret them to avoid misleading conclusions. It discusses the trade-offs of increasing design complexity, including sample size requirements and statistical power considerations. Through architectural examples, readers learn how factorial designs capture the nuanced interplay of spatial elements, leading to more comprehensive insights that reflect the complexity of real-world environments.