Analysis of an Intelligence Dataset
Funding
Conflicts of Interest
References
- Bock, R. Darrell. 1972. Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika 37: 29–51. [Google Scholar] [CrossRef]
- Bürkner, Paul-Christian. 2017. Brms: An R Package for Bayesian Multilevel Models Using Stan. Journal of Statistical Software 80: 1–28. [Google Scholar] [CrossRef] [Green Version]
- Bürkner, Paul-Christian. 2020. Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models. Journal of Intelligence 8: 5. [Google Scholar] [CrossRef] [Green Version]
- Chalmers, R. Philip. 2012. Mirt: A Multidimensional Item Response Theory Package for the R Environment. Journal of Statistical Software 48: 1–29. [Google Scholar] [CrossRef] [Green Version]
- Forthmann, Boris, Birgit Schütze Natalie Förster, Karin Hebbecker, Janis Flessner, Martin T. Peters, and Elmar Souvignier. 2020. How Much g Is in the Distractor? Re-Thinking Item-Analysis of Multiple-Choice Items. Journal of Intelligence 8: 11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Garcia-Garzon, Eduardo, Francisco J. Abad, and Luis E. Garrido. 2019. Searching for G: A New Evaluation of SPM-LS Dimensionality. Journal of Intelligence 7: 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Maris, Gunter, Timo Bechger, Jesse Koops, and Ivailo Partchev. 2020. dexter: Data Management and Analysis of Tests. Available online: https://rdrr.io/cran/dexter/ (accessed on 6 November 2020).
- Mokken, Robert J. 1971. A Theory and Procedure of Scale Analysis. The Hague and Berlin: Mouton/De Gruyter. [Google Scholar]
- Myszkowski, Nils, and Martin Storme. 2018. A snapshot of g? Binary and polytomous item-response theory investigations of the last series of the Standard Progressive Matrices (SPM-LS). Intelligence 68: 109–16. [Google Scholar] [CrossRef]
- Partchev, Ivailo. 2020. Diagnosing a 12-Item Dataset of Raven Matrices: With Dexter. Journal of Intelligence 8: 21. [Google Scholar] [CrossRef] [PubMed]
- Raven, John C. 1941. Standardization of Progressive Matrices, 1938. British Journal of Medical Psychology 19: 137–50. [Google Scholar] [CrossRef]
- Robitzsch, Alexander. 2020. Regularized Latent Class Analysis for Polytomous Item Responses: An Application to SPM-LS Data. Journal of Intelligence 8: 30. [Google Scholar] [CrossRef] [PubMed]
- Storme, Martin, Nils Myszkowski, Simon Baron, and David Bernard. 2019. Same Test, Better Scores: Boosting the Reliability of Short Online Intelligence Recruitment Tests with Nested Logit Item Response Theory Models. Journal of Intelligence 7: 17. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Suh, Youngsuk, and Daniel M. Bolt. 2010. Nested Logit Models for Multiple-Choice Item Response Data. Psychometrika 75: 454–73. [Google Scholar] [CrossRef]
- Thissen, David. 2001. Psychometric engineering as art. Psychometrika 66: 473–85. [Google Scholar] [CrossRef]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Myszkowski, N. Analysis of an Intelligence Dataset. J. Intell. 2020, 8, 39. https://doi.org/10.3390/jintelligence8040039
Myszkowski N. Analysis of an Intelligence Dataset. Journal of Intelligence. 2020; 8(4):39. https://doi.org/10.3390/jintelligence8040039
Chicago/Turabian StyleMyszkowski, Nils. 2020. "Analysis of an Intelligence Dataset" Journal of Intelligence 8, no. 4: 39. https://doi.org/10.3390/jintelligence8040039
APA StyleMyszkowski, N. (2020). Analysis of an Intelligence Dataset. Journal of Intelligence, 8(4), 39. https://doi.org/10.3390/jintelligence8040039