Measuring the Influence of Complexity on Relational Reasoning
- 1 February 2006
- journal article
- Published by SAGE Publications in Educational and Psychological Measurement
- Vol. 66 (1), 146-171
- https://doi.org/10.1177/0013164405278570
Abstract
Relational complexity (RC) theory conceptualizes an individual’s processing capacity and a task’s complexity along a common ordinal metric. The authors describe the development of the Latin Square Task (LST) that assesses the influence of RC on reasoning. The LST minimizes the role of knowledge and storage capacity and thus refines the identification of a processing-capacity-related complexity effect in task performance. The LST is novel with one explicit rule that is easily understood by adults and children. In two studies, a test of 18 items encompassing three RC levels was administered to university (N = 73; 16-33 years) and school (N = 204; 8-19 years) students. Rasch analyses indicate that the LST scores were psychometrically stable across age groups and provides important diagnostic clues for task development. Consistent with RC theory, the LST is sensitive to parallel and serial (via segmentation) processing demands. The LST provides a strong basis for research on working memory and related constructs (fluid intelligence).Keywords
This publication has 23 references indexed in Scilit:
- How Many Variables Can Humans Process?Psychological Science, 2005
- Cognitive complexity of suppositional reasoning: An application of the relational complexity metric to the knight-knave taskThinking & Reasoning, 2002
- Young Children's Performance on the Balance Scale: The Influence of Relational ComplexityJournal of Experimental Child Psychology, 2002
- Children's ability to make transitive inferences: The importance of premise integration and structural complexityCognitive Development, 1998
- A cognitive design system approach to generating valid tests: Application to abstract reasoning.Psychological Methods, 1998
- Relational complexity metric is effective when assessments are based on actual cognitive processesBehavioral and Brain Sciences, 1998
- Capacity Limitations of a Classic M-Power Measure: A Modified Dual-Task ApproachJournal of Experimental Child Psychology, 1997
- Components of Item Difficulty of Raven's MatricesThe Journal of General Psychology, 1992
- Rasch Models for MeasurementPublished by SAGE Publications ,1988
- A Comparison of Two Methods of Decomposing Item DifficultiesJournal of Educational Statistics, 1987