This study examined associations between broad cognitive abilities (Fluid Reasoning [Gf], Short-Term Working Memory [Gwm], Long-Term Storage and Retrieval [Glr], Processing Speed [Gs], Comprehension-Knowledge [Gc], Visual Processing [Gv], and Auditory Processing [Ga]) and reading achievement (Basic Reading Skills, Reading Rate, Reading Fluency, and Reading Comprehension) in a nationally representative school-age sample. Findings indicate that some cognitive abilities were stronger predictors of reading achievement than previously found (e.g., Gf, Ga, and Gs). Most notably, the Woodcock-Johnson–IV Gf cluster was found to be the strongest and most consistent predictor of reading achievement. A secondary analysis suggests that this effect was likely due to the new Number Series test. The results of the study suggest revisions to previous conceptualizations of the associations between the broad Cattell-Horn-Carroll abilities and areas of reading achievement.

Consideration of the influence of English language skills during testing is an understandable requirement for fair and valid cognitive test interpretation. Several professional standards and expert recommendations exist to guide psychologists as they attempt to engage in best practices when assessing English learners (ELs). Nonetheless, relatively few evidence-based recommendations for practice have been specified for psychologists. To address this issue, we used a mixed-effects modeling approach to examine the influences of test characteristics (i.e., test directions) and examinee characteristics (i.e., expressive and receptive language abilities) on cognitive test performance. Our results suggest that language abilities appear to have a significant influence on cognitive test performance, whereas test characteristics do not influence performance, after accounting for language abilities. Implications for practice include the assessment of expressive and receptive language abilities of EL students prior to administering, scoring, and interpreting cognitive test scores.

The increasing diversity of the U.S. population has resulted in increased concerns about the psychological assessment of students from culturally and linguistically diverse backgrounds. To date, little empirical research supports recommendations in test selection and interpretation, such as those presented in the Culture–Language Interpretative Matrix (C-LIM). The current investigation was conducted to empirically evaluate the validity of the C-LIM classifications for the Woodcock–Johnson Tests of Cognitive Abilities, Third Edition (WJ III COG). The WJ III Normative Update standardization sample was used to determine the extent to which the two dimensions of the C-LIM (i.e., cultural loading and linguistic demand) influence performance on 20 of the WJ III tests. Results provide support for a re-classification of the C-LIM. Implications for research and school psychology practices are discussed.

The Woodcock-Johnson IV Tests of Cognitive Abilities (WJ IV COG) is a comprehensive assessment battery designed to assess broad and narrow cognitive abilities, as defined by the Cattell-Horn-Carroll (CHC) theory of intelligence. Previous studies examined the invariance of the WJ assessments across sex and age groups using factor analytic methods. Psychometric network modeling is an alternative methodology that can address both direct and indirect relationships among the observed variables. In this study, we employed psychometric network modeling to examine the invariance of the WJ IV COG across sex and age groups. Using a normative sample (n = 4212 participants) representative of the United States population, we tested the extent to which the factorial structure of the WJ IV COG aligned with CHC theory for the school-aged sample. Next, we used psychometric network modeling as a data-driven method to investigate whether the network structure of the WJ IV COG remains similar across different sex and age (age 6 to 19, inclusively) groups. Our results showed that the WJ IV COG maintained the same network structure across all age and sex groups, although the network structure at younger ages indicated weaker relationships among some subtests. Overall, the results provide construct validity evidence for the WJ IV COG, based on both theoretical and data-driven methods.