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

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  • Myszkowski, Nils
  • Storme, Martin

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 (CFI3PL = 0.974, TLI3PL = 0.959, RMSEA3PL = 0.059, SRMR3PL = 0.056), offering good empirical reliability (rxx′,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 (Δrxx′ = 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.

Suggested Citation

  • Myszkowski, Nils & Storme, Martin, 2018. "A snapshot of g? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS)," Intelligence, Elsevier, vol. 68(C), pages 109-116.
    • Handle: RePEc:eee:intell:v:68:y:2018:i:c:p:109-116
    DOI: 10.1016/j.intell.2018.03.010
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    References listed on IDEAS

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    1. John Horn, 1965. "A rationale and test for the number of factors in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 30(2), pages 179-185, June.
    2. Youngsuk Suh & Daniel Bolt, 2010. "Nested Logit Models for Multiple-Choice Item Response Data," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 454-473, September.
    3. R. Darrell Bock, 1972. "Estimating item parameters and latent ability when responses are scored in two or more nominal categories," Psychometrika, Springer;The Psychometric Society, vol. 37(1), pages 29-51, March.
    4. William Revelle & Richard Zinbarg, 2009. "Coefficients Alpha, Beta, Omega, and the glb: Comments on Sijtsma," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 145-154, March.
    5. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
    6. Chalmers, R. Philip, 2012. "mirt: A Multidimensional Item Response Theory Package for the R Environment," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i06).
    7. Denny Borsboom, 2006. "The attack of the psychometricians," Psychometrika, Springer;The Psychometric Society, vol. 71(3), pages 425-440, September.
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    1. James Joseph Balamuta & Steven Andrew Culpepper, 2022. "Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 903-945, September.

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