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ERIC Number: EJ1322587
Record Type: Journal
Publication Date: 2020
Pages: 15
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2079-3200
EISSN: N/A
Available Date: N/A
A Mokken Scale Analysis of the Last Series of the Standard Progressive Matrices (SPM-LS)
Journal of Intelligence, v8 Article 22 2020
Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while preserving satisfactory psychometric properties (Garcia-Garzon et al. 2019; Myszkowski and Storme 2018). In this study, I argue, however, that some psychometric properties have been left aside by previous investigations. As part of this special issue on the reinvestigation of Myszkowski and Storme's dataset, I propose to use the non-parametric Item Response Theory framework of Mokken Scale Analysis (Mokken 1971, 1997) and its current developments (Sijtsma and van der Ark 2017) to shed new light on the SPM-LS. Extending previous findings, this investigation indicated that the SPM-LS had satisfactory scalability (H=0.469), local independence and reliability (MS=0.841, LCRC=0.874). Further, all item response functions were monotonically increasing, and there was overall evidence for invariant item ordering (H[subscript T]=0.475), supporting the Double Monotonicity Model (Mokken 1997). Item 1, however, appeared problematic in most analyses. I discuss the implications of these results, notably regarding whether to discard item 1, whether the SPM-LS sum scores can confidently be used to order persons, and whether the invariant item ordering of the SPM-LS allows to use a stopping rule to further shorten test administration.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: N/A
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Raven Progressive Matrices
Grant or Contract Numbers: N/A
Author Affiliations: N/A