Factors of spatial visualization: An analysis of the PSVT:R

Jeremy V. Ernst, Thomas O. Willams, Aaron C. Clark, Daniel P. Kelly

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The Purdue Spatial Visualization Test: Visualization of Rotations (PVST:R) is among the most commonly used measurement instruments to assess spatial ability among engineering students. Previous analysis that explores the factor structure of the PSVT:R indicates a single-factor measure of the instrument. With this as a basis, this research seeks to examine the psychometric properties of the test. This paper presents the findings of single and multi-factor analyses of the PSVT:R given to 335 students enrolled in an introductory engineering design graphics course. Initial analysis did not support a single factor solution. Further examination of pattern analyses and communalties are suggestive of the possibility that the PSVT:R may load on multiple factors. The magnitude of the variance is not explained by a single factor and whether the PSVT:R can be considered a single construct measure of mental rotation ability is not supported by this study. This represents a potential divergence from the current literature and may call into question the replicability of the test's psychometric properties.

Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalEngineering Design Graphics Journal
Volume81
Issue number1
StatePublished - Dec 1 2017

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