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Analysis of institutional authors

Lozano JhAuthorRevuelta JAuthor
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Investigating operation-specific learning effects in the Raven's Advanced Progressive Matrices: A linear logistic test modeling approach

Publicated to:INTELLIGENCE. 82 (101468): 101468- - 2020-09-01 82(101468), DOI: 10.1016/j.intell.2020.101468

Authors: Lozano, Jose H; Revuelta, Javier

Affiliations

Univ Autonoma Madrid, Fac Psicol, Ivan Pavlov 6,Ciudad Univ Cantoblanco, Madrid 28049, Spain - Author
Universidad Autónoma de Madrid - Author

Abstract

© 2020 Elsevier Inc. The present study aimed to investigate practice effects associated with the abstract rules involved in the Raven's Advanced Progressive Matrices (RAPM) under standard administration conditions. To that end, a linear logistic test modeling approach was used in combination with Carpenter, Just, and Shell's (1990) taxonomy of rules. Several operation-specific learning models were used in order to test different contingent and non-contingent learning hypotheses. The models were fitted to a sample of responses from 293 participants to Sets I and II of the RAPM. A Bayesian framework was adopted for model estimation and evaluation. The perceptual variables involved in the items were included in the analyses in order to control their influence on performance on the RAPM. The results did not provide evidence of rule learning during the RAPM. Instead, they suggested the existence of fatigue effects associated with each of the rules. Interestingly, the results revealed the existence of learning effects associated with the items' perceptual properties.

Keywords
AccountComplexityDimensionalityIntelligenceItem-position effectLinear logistic test modelOperation-specific learning modelPractice effectRaven's advanced progressive matrices

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal INTELLIGENCE due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position , thus managing to position itself as a Q1 (Primer Cuartil), in the category Arts and Humanities (Miscellaneous). Notably, the journal is positioned above the 90th percentile.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 1.11, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Field Citation Ratio (FCR) from Dimensions: 1.64 (source consulted: Dimensions May 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-05-02, the following number of citations:

  • WoS: 7
  • Scopus: 9
  • OpenCitations: 7
Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-05-02:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 17.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 17 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 0.5.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (LOZANO BLEDA, JOSE HECTOR) and Last Author (REVUELTA MENENDEZ, JAVIER).