Factor structure of the WRAML in children with ADHD or reading disabilities: Further evidence of an attention/concentration factor

What Does the WRAML2 Core Battery Measure? Utilizing Exploratory and Confirmatory Techniques to Disclose Higher Order Structure

The present study examined the factor structure of the Wide Range Assessment of Memory and Learning-Second Edition (WRAML2) core battery with participants from the normative sample aged 9 to 90 years ( n = 880) using higher order exploratory and confirmatory factor analytic techniques that were not reported in the in the WRAML2 Administration and Technical Manual. Exploratory factor analysis results suggested only one factor, whereas confirmatory factor analysis results favored the three factors posited by the test authors. Although model fit statistics were equivalent for the oblique, indirect hierarchical, and direct hierarchical measurement models, it was determined that the bifactor model best disclosed the influence of latent dimensions on WRAML2 manifest variables. In the three-factor bifactor model, the general factor accounted for 31% of the total variance and 69% of the common variance, whereas the three first-order factors combined accounted for 41% of the total variance and 31% of the common variance. Latent factor reliability coefficients (as estimated by ω_h) indicated that only the general factor was measured with enough precision to warrant confident clinical interpretation. Implications for clinical interpretation of WRAML2 scores and the procedures utilized in the development of related measures are discussed.

Sensitivity of the test of memory and learning to attention and memory deficits in children with ADHD

Children with attention deficit hyperactivity disorder (ADHD) exhibit a number of cognitive deficits. The current study compared patterns of attention, learning, and memory impairment on the Test of Memory and Learning (TOMAL) between 80 children with ADHD and 80 normal comparisons who were matched for age and gender. Results demonstrated that children with ADHD performed significantly worse than matched controls on the Attention/Concentration Index and the Sequential Recall Index. ROC analysis indicated that these two indexes had good classification accuracy with AUCs of.76 and.77 respectively. There were also group differences on the other index scores except the Associative Recall Index. Factor analysis of the ADHD sample extracted five factors, including an Attention factor that significantly correlated with performance on nonverbal memory tasks. Significant correlations between the TOMAL Index scores and tests of intelligence and visuomotor integration supported the convergent and discriminant validity of the test. These results provide support for the criterion validity of the TOMAL in assessing neurocognitive deficits in children with ADHD.

Memory functioning in developmental dyslexia: an analysis using two clinical memory measures

The goals of this project were threefold: to determine the nature of the memory deficit in children/adolescents with dyslexia, to utilize clinical memory measures in this endeavor, and to determine the extent to which semantic short-term memory (STM) is related to basic reading performance. Two studies were conducted using different samples, one incorporating the Wide Range Assessment of Memory and Learning and the other incorporating the California Verbal Learning Test-Children's Version. Results suggest that phonological STM is deficient in children with dyslexia, but semantic STM and visual-spatial STM are intact. Long-term memory (LTM) for both visual and verbal material also is intact. Regarding reading performance, semantic STM had small correlations with word identification and pseudoword decoding across studies despite phonological STM being moderately to strongly related to both basic reading skills. Overall, results are consistent with the phonological core deficit model of dyslexia as only phonological STM was affected in dyslexia and related to basic reading skill.

Verbal and visual short-term memory in children with arithmetic disabilities

With the exception of the explication of the Nonverbal Learning Disability Syndrome, our knowledge of cognitive characteristics of children with isolated arithmetic (A) disabilities contrasted with those with comorbid arithmetic and reading (AR) disabilities is limited. Of the existing studies, most suggest that visual deficits are characteristic of Subtype A. This study examined short-term memory in 45 children who were classified into these two subtypes. Children in Subtype A displayed better verbal memory on some tasks than children in the AR subtype, but no subtype differences in visual memory were found. Counter to our hypothesis, children in Subtype A did not display relatively poorer visual memory than verbal memory. These results suggest a mixed neuropsychological profile, and the absence of visual short-term memory weaknesses as descriptive of the A subtype.

Predictive accuracy of the wide range assessment of memory and learning in children with attention deficit hyperactivity disorder and reading difficulties

The predictive accuracy of the Wide Range Assessment of Memory and Learning (WRAML; Sheslow & Adams, 1990) over and above more standardized diagnostic tools in children with attention deficit hyperactivity disorder (ADHD) and reading disabilities (RD) was examined. Fifty-three children with ADHD, 63 with RD, 63 with ADHD-RD, and 112 normal comparison children were administered the WRAML, the Wechsler Intelligence Scale for Children-Third Edition (WISC-III; Wechsler, 1991), the Achenbach (1991) Child Behavior Checklist (CBCL), and the Woodcock-Johnson Psycho-Educational Battery-Revised (WJ-R; Woodcock & Johnson, 1989). Results of a series of discriminant function analyses revealed that the academic, intellectual, and behavioral measures could correctly classify 73.1% of children, but the WRAML subtests alone were able to correctly classify only 58.5% of participants. Combining all of the memory, academic, intellectual, and behavioral measures resulted in 77.5% of cases being correctly classified. These results suggest that the use of a measure of memory functioning such as the WRAML did not significantly improve the predictive accuracy of a diagnosis of ADHD, RD, or both over and above more standard diagnostic academic, intellectual, and behavioral measures.