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This study examined the variance in teacher ratings attributable to teacher, occasion, and child on the original Behavior Assessment System for Children (BASC). Teachers rated approximately 1,100 girls (52%) and boys (48%) at four public elementary schools over 3 years. About half of the students were rated twice and about a seventh 3 times. Approximately 30% of students were White, 50% African American, 9% Hispanic, 2% multiracial, and 2% Asian. Children were in kindergarten to fifth grade. Cross-classified random effects models were used to account for multiple occasions of data nested within both children and teachers. Overall, the child accounted for the largest amount of variance in ratings (52.3%) followed by occasion (34.2%) and teacher (13.5%). However, large differences existed across composites and scales. The findings suggest that teachers’ ratings of adaptive competencies, externalizing behaviors, and school problems are based primarily on child behavior/characteristics. Ratings of internalizing problems may be more situational.

These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a cognitive assessment as part of the application for gifted programming in their schools. The CFA sample consisted of 181 students who were tested the following year. All students included in the analyses were either accepted to school-based gifted programs following the assessment or were already participating in one. Across the 2 studies, there were approximately equal numbers of boys (205) and girls (201) with a mean age of 8-years-old. The mean composite scores for both samples varied from high average to superior and evidenced substantial differences among the index scores. In the EFA, the 2-, 3-, 4-, and 5-factor solutions were considered. The first 3 models, as well as an additional model reflecting the Verbal and Performance (V-P) IQ scores from previous versions of the WISC, were then compared using CFA. The CFA fit indices and parameter estimates supported the 4-factor, first-order WISC-IV model. This is the measurement model that includes the 4 index scores. Parameter estimates for the higher-order model reflecting g suggested that combining factors into a single, overarching score may not be the best way to represent the varying cognitive scores of gifted students.

Recent research has established a connection between children's fine motor skills and their academic performance. Previous research has focused on fine motor skills measured prior to elementary school, while the present sample included children ages 5-18 years old, making it possible to examine whether this link remains relevant throughout childhood and adolescence. Furthermore, the majority of research linking fine motor skills and academic achievement has not determined which specific components of fine motor skill are driving this relation. The few studies that have looked at associations of separate fine motor tasks with achievement suggest that copying tasks that tap visual-spatial integration skills are most closely related to achievement. The present study examined two separate elements of fine motor skills--visual-motor coordination and visual-spatial integration--and their associations with various measures of academic achievement. Visual-motor coordination was measured using tracing tasks, while visual-spatial integration was measured using copy-a-figure tasks. After controlling for gender, socioeconomic status, IQ, and visual-motor coordination, and visual-spatial integration explained significant variance in children's math and written expression achievement. Knowing that visual-spatial integration skills are associated with these two achievement domains suggests potential avenues for targeted math and writing interventions for children of all ages.

This study examines similarities and differences in teacher ratings of behavioral problems and adaptive skills between a sample of 320 students from Anguilla, BWI and 315 children from the United States of America using the Behavior Assessment System for Children (BASC; Reynolds & Kamphaus, 1992 ). The study also compared teacher ratings of boys and girls in the Caribbean sample. Analyses of variance (ANOVA) revealed that Anguillian teachers rated their students as having higher mean school problems, while the mean score for adaptive skills was higher for US students. Effect sizes were small, though, indicating that little of the variance in ratings was attributable to cultural group. Boys in the Caribbean sample had significantly higher mean scores on externalizing and school problems. Girls were rated at having more adaptive skills. Again, effect sizes for the differences were small. Scientific and practice implications are offered.

Progress in clinical research and in empirically supported interventions in the area of psychopathology in intellectual disabilities (ID) depends on high-quality assessment instruments. To this end, psychometric properties of four instruments were examined: the Aberrant Behavior Checklist (ABC), the Assessment of Dual Diagnosis (ADD), the Anxiety, Depression and Mood Scale (ADAMS), and the Social Performance Survey Schedule (SPSS). Data were collected in two community-based groups of adults with mild to profound ID (n = 263). Subscale reliability (internal consistency) ranged from fair to excellent for the ABC, the ADAMS, and the SPSS (mean coefficient α across ABC subscales was .87 (ranging from fair to excellent), the ADAMS subscales .83 (ranging from fair to good), and the SPSS subscales .91 (range from good to excellent). The ADD subscales had generally lower reliability scores with a mean of .59 (ranging from unacceptable to good). Convergent and discriminant validity was determined by bivariate Spearman ρ correlations between subscales of one instrument and the subscales of the other three instruments. For the most part, all four instruments showed solid convergent and discriminant validity. To examine the factorial validity, Confirmatory Factor Analyses (CFA) were attempted with the inter-item covariance matrix of each instrument. Generally, the data did not show good fits with the measurement models for the SPSS, ABC, or the ADAMS (CFA analyses with the ADD would not converge). However, most of the items on these three instruments had significant loadings on their respective factors.

The purpose of this study was to examine the factor structure of an instrument developed to assess elementary students’ individual perceptions of their classroom environments. The Student Personal Perception of Classroom Climate (SPPCC) originally consisted of six subscales adapted from previously published scales. Exploratory factor analysis identified the underlying dimensions of the SPPCC. The authors subsequently tested the four-factor model against the six-factor model using confirmatory factor analyses with an independent sample of students. The four-factor model appeared to be a more tenable solution because of its equally adequate fit indexes, parsimony, exploratory factor analytic support, and the high correlations between some factors. Future research and potential limitations of the study are discussed.

The General Ability Index (GAI) is a composite ability score for the Wechsler Intelligence Scale for Children—Fourth Edition (WISC–IV) that minimizes the impact of tasks involving working memory and processing speed. The goal of the current study was to compare the degree to which the Full Scale IQ (FSIQ) and the GAI predict academic achievement in math and reading among a group of 88 children tested for gifted programming. All students had significant variability among their index scores on the WISC–IV. Whereas both the FSIQ and GAI significantly predicted standardized achievement test scores in reading and math, the FSIQ explained more of the variance. In sequential regression analyses, both working memory and verbal comprehension scores explained significant, unique variance in reading and math scores. However, measures of processing speed and perceptual reasoning did not account for significant amounts of variance in achievement scores over and above measures of working memory and verbal comprehension. The inclusion of working memory scores in calculation of the FSIQ appears to account for the difference in prediction between the FSIQ and the GAI.

This study was conducted to assess the psychometric properties of 2 assessment instruments, the Behavior Problems Inventory-01 (BPI-01; Rojahn, Matson, Lott, Esbensen, & Smalls, 2001) and the Nisonger Child Behavior Rating Form (NCBRF; Aman, Tasse, Rojahn, & Hammer, 1996). The sample consisted of 237 ethnically diverse children and adolescents with intellectual disabilities who ranged in age from 4 to 22 years. Reliability parameters included internal consistency, interteacher agreement, teacher-parent agreement, and test-retest reliability. Factorial validity was assessed first by bivariate Spearman rank (ρ) correlations and then by examining the factor structure fit via confirmatory factor analysis (CFA). Convergent and discriminant validity was assessed by multiple regression analyses across the 2 instruments. Reliability coefficients (internal consistency, interteacher agreement, and test-retest reliability) of the BPI-01 and of the NCBRF subscales ranged from fair to excellent and from poor to excell...

The purpose of the current study was to build on the emerging effort to produce a meaningful typology of child behavior for school-aged children. The Behavior Assessment System for Children (BASC) Parent Rating Scales for Children (PRS-C) norming data were collected for 2029 6- to 11-year-old children at 116 sites representing various regions of the United States. The PRS-C has 130 items that are rated by the parent on a 4-point scale of frequency, ranging from "never" to "almost always". The Ward method of cluster analysis was used to identify the initial centroids or cluster seeds in this norming sample. An iterative clustering method, a K-means procedure, was used to refine the Ward cluster solution. A nine-cluster solution was selected based on both rational and empirical considerations. The resulting clusters were labeled adapted, physical complaints/worry, average, well-adapted, minimal problems, attention problems, internalizing, general psychopathology-severe, and disruptive behavior problems. The nine-cluster solution is similar to those of Achenbach (1991), Thompson, Kronenberger, and Curry (1989), and other researchers. At the same time, some significant differences exist. The resulting typology points the way toward future cluster studies of child psychopathology and normal behavioral development by delineating additional research and theoretical directions.