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Log File Times as Indicators of Structured Figural Matrix Processing.

Dominik Weber1, Marco Koch1, Frank M Spinath1

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|June 25, 2025
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Summary
This summary is machine-generated.

Analyzing processing times in figural matrices reveals distinct cognitive strategies. Faster inter-rule times correlate with structured processing and better reasoning performance, offering deeper insights into cognitive assessment.

Keywords:
figural matricesgoal managementitem processinglog filesresponse timetime on task

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Area of Science:

  • Cognitive Psychology
  • Psychometrics
  • Educational Assessment

Background:

  • Individual differences exist in time on task (ToT) and structuredness of figural matrix processing.
  • Previous research has studied these factors separately.

Purpose of the Study:

  • To integrate research on ToT and processing structuredness in figural matrices.
  • To examine the role of three ToT sub-components: onset, inter-rule, and intra-rule times.

Main Methods:

  • Analysis of log files from a computer-based assessment (N = 198).
  • Identification of participant clusters based on inter-rule times.
  • Mediated path analysis to explore relationships between time components and performance.
  • Internal and external validity checks using test performance and a second matrix test.

Main Results:

  • Two participant clusters emerged based on inter-rule times, indicating different processing structuredness.
  • Accelerating inter-rule times across the test were linked to higher reasoning saturation and better performance.
  • Faster inter-rule times led to faster intra-rule times and more structured processing, improving performance.
  • Log file times explained an additional 24.30% of test performance variance beyond traditional ToT.

Conclusions:

  • Inter-rule times reflect the construction of solution plans, onset times global orientation, and intra-rule times plan execution.
  • Processing structuredness and reasoning ability can be inferred from temporal patterns in figural matrix tasks.
  • Temporal analysis of log files provides a valid and incremental measure of cognitive abilities in matrix reasoning.