Please use this identifier to cite or link to this item: doi:10.22028/D291-39157
Title: A Log File Analysis on the Validity of Partial Solutions in Figural Matrices Tests
Author(s): Weber, Dominik
Krieger, Florian
Spinath, Frank M.
Greiff, Samuel
Hissbach, Johanna
Becker, Nicolas
Language: English
Title: Journal of Intelligence
Volume: 11
Issue: 2
Publisher/Platform: MDPI
Year of Publication: 2023
Free key words: intelligence
figural matrices
partial solutions
computer-based testing
constructionbased tests
log files
sequence analysis
grade point average
validation
DDC notations: 150 Psychology
Publikation type: Journal Article
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 of the first publication: 10.3390/jintelligence11020037
URL of the first publication: https://www.mdpi.com/2079-3200/11/2/37
Link to this record: urn:nbn:de:bsz:291--ds-391570
hdl:20.500.11880/35303
http://dx.doi.org/10.22028/D291-39157
ISSN: 2079-3200
Date of registration: 27-Feb-2023
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Psychologie
Professorship: HW - Prof. Dr. Frank Spinath
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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