Abstract
The complexity of psychological science often requires the collection and analysis of multidimensional data. Such data bring about a corresponding cognitive load that has led scientists to develop techniques of scientific visualization to ease the burden. This paper provides an introduction to scientific visualization techniques, a framework for understanding those techniques, and an assessment of the suitability of this approach for psychology. The framework employed builds on the notion of balancing noise and smooth in statistical analysis. © 1995 Psychonomic Society, Inc.
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CITATION STYLE
Yu, C. H., & Behrens, J. T. (1995). Applications of multivariate visualization to behavioral sciences. Behavior Research Methods, Instruments, & Computers, 27(2), 264–271. https://doi.org/10.3758/BF03204743
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