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This is the way: Network perspective on targets for spatial ability development programmes
Author(s) -
Likhanov Maxim,
Maslennikova Ekaterina,
Costantini Giulio,
Budakova Anna,
Esipenko Elena,
Ismatullina Victoria,
Kovas Yulia
Publication year - 2022
Publication title -
british journal of educational psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.557
H-Index - 95
eISSN - 2044-8279
pISSN - 0007-0998
DOI - 10.1111/bjep.12524
Subject(s) - psychology , confirmatory factor analysis , cognition , set (abstract data type) , construct (python library) , facet (psychology) , mediation , variance (accounting) , perspective (graphical) , psychological intervention , structural equation modeling , cognitive psychology , developmental psychology , social psychology , computer science , artificial intelligence , machine learning , personality , accounting , neuroscience , psychiatry , political science , law , business , big five personality traits , programming language
Background Spatial ability (SA) was shown to be important for success in different fields, including STEM. Recent research suggested that SA is a unitary construct, rather than a set of related skills. However, it is not clear how individual differences in different facets of SA emerge, and how they relate to variance in general cognitive ability. Aims The aim of the present study was threefold: 1) to examine the structure of SA testing nine theoretical models; 2) to explore the relation between 16 different facets of SA with general cognitive ability; and 3) to identify central facet(s) within the network of SA – with most links and/or strongest links to other facets. Sample The study participants were 958 university students from Russia. Methods The study used a comprehensive battery of 16 SA tests and a verbal ability measure. Results Results supported previous research, suggesting moderate overlap between all SA facets. Factor analysis suggested several potential structures, with similar fit indices for five different theoretically driven models, including split into small‐ and large scale; partially independent manipulation, visualization and navigation facets. Confirmatory factor analysis, mediation and network analyses showed spatial ability being largely independent from verbal ability. In addition, network analysis showed that navigation according to directions is in the centre of the network, potentially linking all SA facets. Conclusion The results have potential implications for identifying the best targets for SA interventions. The next step in research is conducting experimental studies to evaluate effectiveness of interventions targeting navigation in comparison with other facets of SA.