Multiple Solutions Test Part II: Evidence on Construct and Predictive Validity
Multiple Solutions Test Part II: Evidence on Construct and Predictive Validity
Author(s): Marko Živanović, Jovana Bjekić, Goran OpačićSubject(s): Psychology, Cognitive Psychology
Published by: Društvo psihologa Srbije
Keywords: Multiple solutions test (MST); figural reasoning; fluid intelligence (Gf); construct validity; predictive validity
Summary/Abstract: In this study, we complement data on Multiple solutions test (MST) by examining its construct and predictive validity. Unlike conventional matrices where a single solution is required, MST sets three types of problems before the participants, requiring them to solve matrices for the best, the second-best, and the least accurate solution. A total sample of 235 individuals (age M = 22.65, SD = 3.33, 199 females) participated in the study. Construct validity of each task within MST was tested in relation to the KOG9 battery of intellectual abilities (N = 156), while predictive value of individual tasks and full-scale performance was tested in relation to scholastic achievement measured by GPA (N = 235). The results have shown high between-task correlations, but also pointed to the specificities of each of them. Additionally, differential difficulties among the tasks were found with the least accurate task being the most difficult, followed by the second-best, and the best one. The test showed satisfactory convergent validity in relation to Gf/Gv test markers within KOG9 battery. Furthermore, MST has shown predictive validity, along with the incremental value of alternative tasks above the standard one (when the scholastic achievement was taken as a criterion), as well as incremental validity in predicting GPA above the KOG9 battery. In general, MST has shown to be a valid instrument for an intelligence assess ment, and its alternative tasks have a potential to be a useful addition to standard matrices with one type of solution.
Journal: Psihologija
- Issue Year: 51/2018
- Issue No: 3
- Page Range: 377-396
- Page Count: 20
- Language: English