Evaluation of the Construct Validity of the Kamphaus-Reynolds Supplementary Scoring System for the K-ABC

R. W. Kamphaus and C. R. Reynolds developed a scoring system for the Kaufman Assessment Battery for Children (K-ABC) in which test users derive alternative summary scores, including General Intelligence, Verbal Intelligence, and Reading composites. In this study, we evaluated the construct validity of this supplementary scoring model with data from a sample of referred school-age children and from the K-ABC normative sample. Within the referred sample, we conducted a factor analysis to determine the joint factor structure of subtests from the K-ABC and other IQ and achievement measures. We evaluated within the normative sample the relative fits of the factor models implied by the original and Kamphaus-Reynolds scoring models to subtest inter-correlations. Our results supported the construct validity of only part of the Kamphaus-Reynolds scoring model.

Effects of gestational age at birth on cognitive performance: a function of cognitive workload demands

Objective

Cognitive deficits have been inconsistently described for late or moderately preterm children but are consistently found in very preterm children. This study investigates the association between cognitive workload demands of tasks and cognitive performance in relation to gestational age at birth.

Methods

Data were collected as part of a prospective geographically defined whole-population study of neonatal at-risk children in Southern Bavaria. At 8;5 years, n = 1326 children (gestation range: 23–41 weeks) were assessed with the K-ABC and a Mathematics Test.

Results

Cognitive scores of preterm children decreased as cognitive workload demands of tasks increased. The relationship between gestation and task workload was curvilinear and more pronounced the higher the cognitive workload: GA² (quadratic term) on low cognitive workload: R² = .02, p<0.001; moderate cognitive workload: R² = .09, p<0.001; and high cognitive workload tasks: R² = .14, p<0.001. Specifically, disproportionally lower scores were found for very (<32 weeks gestation) and moderately (32–33 weeks gestation) preterm children the higher the cognitive workload of the tasks. Early biological factors such as gestation and neonatal complications explained more of the variance in high (12.5%) compared with moderate (8.1%) and low cognitive workload tasks (1.7%).

Conclusions

The cognitive workload model may help to explain variations of findings on the relationship of gestational age with cognitive performance in the literature. The findings have implications for routine cognitive follow-up, educational intervention, and basic research into neuro-plasticity and brain reorganization after preterm birth.

Cognitive development of singletons conceived by intracytoplasmic sperm injection or in vitro fertilization at age 5 and 10 years

OBJECTIVE

To investigate the cognitive functioning of low-risk singletons born after intracytoplasmic sperm injection (ICSI) or in vitro fertilization (IVF) at the age of 5 or 10 years.

METHODS

Sixty-nine children (35 ICSI, 34 IVF) participated voluntarily in the study that had been approved by the local IRB. Their intellectual functioning was examined by the Kaufmann Assessment Battery for Children.

RESULTS

The IQ of the study group fell in the normal range (mean = 98.2; SD = 12.2). ICSI children (IQ = 94.1, SD = 13.8) had statistically lower intellectual abilities compared to IVF children (IQ = 102.0, SD = 9.1; t = -2.81, p = .005), especially in simultaneous mental processing. 23.5% ICSI children, but only 2.9% IVF children (p = .011) had at least borderline delayed cognitive development.

CONCLUSIONS

Most artificially conceived singletons show a normal cognitive development, however the method of fertilization seems to have an impact on their IQ. ICSI might be associated with the risk for a slightly delayed cognitive development compared to IVF.

Estimating Cognitive Profiles Using Profile Analysis via Multidimensional Scaling (PAMS)

Two of the most popular methods of profile analysis, cluster analysis and modal profile analysis, have limitations. First, neither technique is adequate when the sample size is large. Second, neither method will necessarily provide profile information in terms of both level and pattern. A new method of profile analysis, called Profile Analysis via Multidimensional Scaling (PAMS; Davison, 1996), is introduced to meet the challenge. PAMS extends the use of simple multidimensional scaling methods to identify latent profiles in a multi-test battery. Application of PAMS to profile analysis is described. The PAMS model is then used to identify latent profiles from a subgroup (N = 357) within the sample of the Woodcock-Johnson Psychoeducational Battery-Revised (WJ-R; McGrew, Werder, & Woodcock, 1991; Woodcock & Johnson, 1989), followed by a discussion of procedures for interpreting participants' observed score profiles from the latent PAMS profiles. Finally, advantages and limitations of the PAMS technique are discussed.