A snapshot of g? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS)

By Nils Myszkowski in Psychometrics Test development Item-Response Theory

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What it’s about

In this paper, we propose the use of the last series of the last series of the Standard Progressive Matrices (SPM-LS) as a viable snapshot measure of g. We provide an extensive Item-Response Theory (IRT) analysis of the instrument, based on the binary (pass/fail) and nominal (response categories) data.

Abstract

Raven’s progressive matrices (Raven, 1941) are extremely popular measures of general mental ability. However, their length may not suit every researcher’s or practitioner’s needs. Short versions of the Advanced version have resulted in problematic factor structures and internal consistencies (Arthur, Tubre, Paul, & Sanchez-Ku, 1999; Bors & Stokes, 1998): Is the last series of the Standard Progressive Matrices a more viable option? The aim of this research was to investigate the structural validity and internal reliability of the last series of the SPM (SPM-LS) as a standalone measure. The SPM-LS binary (correct/incorrect) responses of 499 undergraduate students were investigated through unidimensional Item-Response Theory (IRT) 1–4 Parameter Logistic (PL) models. They were satisfactorily modeled by unidimensional models (\(CFI_{3PL} = 0.974, TLI_{3PL} = 0.959, RMSEA_{3PL} = 0.059, SRMR_{3PL} = 0.056\)), offering good empirical reliability (\(r_{xx′,3PL} = 0.843\)), and outperforming the short Advanced Progressive Matrices’ previously reported qualities. Full nominal responses – recovering information from the distractor responses – were further examined with recently introduced 2–4 Parameter Logistic Nested (PLN) models (Suh & Bolt, 2010), providing significant reliability gains ($r_{xx′} = 0.029, Bootstrapped 95% CI $[0.019, 0.036], \(z = 6.06, p < .001\)). Uses, limitations, conditional reliability and scoring strategies are further examined and discussed.

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Posted on:
December 12, 2018
Length:
2 minute read, 267 words
Categories:
Psychometrics Test development Item-Response Theory
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