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Titel: A Log File Analysis on the Validity of Partial Solutions in Figural Matrices Tests
VerfasserIn: Weber, Dominik
Krieger, Florian
Spinath, Frank M.
Greiff, Samuel
Hissbach, Johanna
Becker, Nicolas
Sprache: Englisch
Titel: Journal of Intelligence
Bandnummer: 11
Heft: 2
Verlag/Plattform: MDPI
Erscheinungsjahr: 2023
Freie Schlagwörter: intelligence
figural matrices
partial solutions
computer-based testing
constructionbased tests
log files
sequence analysis
grade point average
validation
DDC-Sachgruppe: 150 Psychologie
Dokumenttyp: Journalartikel / Zeitschriftenartikel
Abstract: As a component of many intelligence test batteries, figural matrices tests are an effective way to assess reasoning, which is considered a core ability of intelligence. Traditionally, the sum of correct items is used as a performance indicator (total solution procedure). However, recent advances in the development of computer-based figural matrices tests allow additional indicators to be considered for scoring. In two studies, we focused on the added value of a partial solution procedure employing log file analyses from a computer-based figural matrices test. In the first study (n = 198), we explored the internal validity of this procedure by applying both an exploratory bottomup approach (using sequence analyses) and a complementary top-down approach (using rule jumps, an indicator taken from relevant studies). Both approaches confirmed that higher scores in the partial solution procedure were associated with higher structuredness in participants’ response behavior. In the second study (n = 169), we examined the external validity by correlating the partial solution procedure in addition to the total solution procedure with a Grade Point Average (GPA) criterion. The partial solution procedure showed an advantage over the total solution procedure in predicting GPA, especially at lower ability levels. The implications of the results and their applicability to other tests are discussed.
DOI der Erstveröffentlichung: 10.3390/jintelligence11020037
URL der Erstveröffentlichung: https://www.mdpi.com/2079-3200/11/2/37
Link zu diesem Datensatz: urn:nbn:de:bsz:291--ds-391570
hdl:20.500.11880/35303
http://dx.doi.org/10.22028/D291-39157
ISSN: 2079-3200
Datum des Eintrags: 27-Feb-2023
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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