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Titel: Log File Times as Indicators of Structured Figural Matrix Processing
VerfasserIn: Weber, Dominik
Koch, Marco
Spinath, Frank M.
Krieger, Florian
Becker, Nicolas
Sprache: Englisch
Titel: Journal of Intelligence
Bandnummer: 13
Heft: 6
Verlag/Plattform: MDPI
Erscheinungsjahr: 2025
Freie Schlagwörter: figural matrices
log files
response time
time on task
item processing
goal management
DDC-Sachgruppe: 150 Psychologie
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: Previous research has shown individual differences in (a) time on task (ToT) and (b) the degree of structuredness in processing figural matrices. The goal of this article was to integrate these two lines of research by analyzing log files from a computer-based assessment (N = 198) to examine the role of three ToT sub-components: onset times (before engaging with the first matrix rule), interrule times (between the rules), and intrarule times (within a single rule). We tested three clues that support the assumptions that the interrule times reflect the cognitive construction of a rule-specific solution plan, while the onset times represent a global orientation reaction, and the intrarule times capture the behavioral execution of the plan: (1) based on the interrule times, we identified two clusters of participants, of which one processed the matrices in a more structured fashion; (2) only the accelerating effect of the interrule times across the test was associated with test performance, indicating higher reasoning saturation; (3) a mediated path analysis revealed that faster interrule times propagate in faster intrarule times and more structured processing of matrix rules, resulting in better performance. Confirming internal validity, the three log file times accounted for an incremental 24.30% of test performance variance beyond the traditional ToT. Confirming external validity, two clusters were also identified based on the interrule times from the first test and performance scores from a second matrix test.
DOI der Erstveröffentlichung: 10.3390/jintelligence13060063
URL der Erstveröffentlichung: https://doi.org/10.3390/jintelligence13060063
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-456825
hdl:20.500.11880/40178
http://dx.doi.org/10.22028/D291-45682
ISSN: 2079-3200
Datum des Eintrags: 26-Jun-2025
Fakultät: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Fachrichtung: HW - Psychologie
Professur: HW - Prof. Dr. Frank Spinath
Sammlung:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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