Measurement Invariance of the <i> Woodcock-Johnson ^® V </i> Achievement Battery: An Exploratory Graph Analysis Approach

The Woodcock-Johnson V ( WJ V ) test evaluates general intelligence and cognitive abilities using the Cattell–Horn–Carroll (CHC) theory framework. While measurement invariance is often tested using structural equation modeling (SEM), few studies have applied exploratory graph analysis (EGA), particularly in intelligence assessments. This study addresses that gap by examining configural and metric invariance of the WJ V achievement battery across age, race, and gender using normative data and a novel EGA approach. Results show that the WJ V maintains a consistent structure across diverse groups, supporting its validity in measuring the same constructs. Stability analyses further supported these findings, with test-to-community assignments remaining highly consistent in bootstrapped samples. Minor variation was observed only in the Oral Language Sample, which showed slightly lower but acceptable stability above 0.70.