Next Article in Journal
Computer-Based Collaborative Problem Solving in PISA 2015 and the Role of Personality
Next Article in Special Issue
Same Test, Better Scores: Boosting the Reliability of Short Online Intelligence Recruitment Tests with Nested Logit Item Response Theory Models
Previous Article in Journal
Special Issue “The Ability–Personality Integration”
Article Menu

Export Article

Open AccessArticle

Searching for G: A New Evaluation of SPM-LS Dimensionality

1
Facultad de Psicología, Universidad Autónoma de Madrid, 28049 Madrid, Spain
2
Facultad de Psicología, Pontificia Universidad Católica Madre y Maestra, Santo Domingo 10109, Dominican Republic
*
Author to whom correspondence should be addressed.
Received: 26 April 2019 / Revised: 20 June 2019 / Accepted: 25 June 2019 / Published: 28 June 2019
(This article belongs to the Special Issue Analysis of an Intelligence Dataset)
  |  
PDF [3345 KB, uploaded 4 July 2019]
  |  

Abstract

There has been increased interest in assessing the quality and usefulness of short versions of the Raven’s Progressive Matrices. A recent proposal, composed of the last twelve matrices of the Standard Progressive Matrices (SPM-LS), has been depicted as a valid measure of g. Nonetheless, the results provided in the initial validation questioned the assumption of essential unidimensionality for SPM-LS scores. We tested this hypothesis through two different statistical techniques. Firstly, we applied exploratory graph analysis to assess SPM-LS dimensionality. Secondly, exploratory bi-factor modelling was employed to understand the extent that potential specific factors represent significant sources of variance after a general factor has been considered. Results evidenced that if modelled appropriately, SPM-LS scores are essentially unidimensional, and that constitute a reliable measure of g. However, an additional specific factor was systematically identified for the last six items of the test. The implications of such findings for future work on the SPM-LS are discussed. View Full-Text
Keywords: Raven matrices; Standard Progressive Matrices test; dimensionality; bi-factor; parallel analysis; target rotation; exploratory graph analysis Raven matrices; Standard Progressive Matrices test; dimensionality; bi-factor; parallel analysis; target rotation; exploratory graph analysis
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Garcia-Garzon, E.; Abad, F.J.; Garrido, L.E. Searching for G: A New Evaluation of SPM-LS Dimensionality. J. Intell. 2019, 7, 14.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Intell. EISSN 2079-3200 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top