Searching for G: A New Evaluation of SPM-LS Dimensionality
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| Title: | Searching for G: A New Evaluation of SPM-LS Dimensionality |
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| Authors: | Garcia-Garzon, Eduardo, Abad, Francisco J., Garrido, Luis E. |
| Source: | Journal of Intelligence. 2019 7. |
| Availability: | MDPI AG. Klybeckstrasse 64, 4057 Basel, Switzerland. e-mail: indexing@mdpi.com; e-mail: jintelligence@mdpi.com; Web site: https://www.mdpi.com/journal/jintelligence |
| Peer Reviewed: | Y |
| Page Count: | 18 |
| Publication Date: | 2019 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Intelligence Tests, Test Validity, Evaluation Methods, Undergraduate Students, Matrices, Factor Structure, Statistical Analysis, Test Reliability |
| Assessment and Survey Identifiers: | Raven Progressive Matrices, Raven Advanced Progressive Matrices |
| ISSN: | 2079-3200 |
| 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. |
| Abstractor: | As Provided |
| Entry Date: | 2022 |
| Accession Number: | EJ1356293 |
| Database: | ERIC |
| 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. |
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| ISSN: | 2079-3200 |
