Linguistic Influences on Cognitive Test Performance: Examinee Characteristics Are More Important than Test Characteristics.

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.

Age and Sex Invariance of the Woodcock-Johnson IV Tests of Cognitive Abilities: Evidence from Psychometric Network Modeling.

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.

Siblings exposed to intimate partner violence: linking sibling relationship quality & child adjustment problems.

Although the majority of families that experience intimate partner violence (IPV) have more than one child, most research to date has focused upon a single child within these families. A significant body of research has indicated siblings play an important role in children's adjustment and well-being. To address this gap, the three main goals of the present study were to compare the adjustment of older and younger siblings exposed to IPV, to describe and compare the quality of these sibling relationships from multiple perspectives, and to investigate how sibling adjustment and relationship quality influence children's adjustment. Forty-seven sibling pairs and their mothers were recruited from the community. Mothers self-reported on their violent experiences using the Conflict Tactics Scale, and also estimated the length of time their children were exposed to IPV. Mothers and children completed assessments of child adjustment and the quality of sibling relationships. Observers also assessed the quality of sibling interaction. Results indicated that adjustment between siblings was highly inter-related. On average, mothers reported sibling relationships as less positive but also as less hostile than did siblings themselves. Higher levels of sibling hostility, lower levels of sibling warmth and higher levels of disengagement each significantly predicted child adjustment; however, these effects were predicated upon the adjustment of the other sibling. The sibling relationships of children exposed to IPV made a difference in their individual adjustment, and their adjustment issues influenced how they feel about and interacted with their sibling. Sibling hostility played a stronger role in adjustment issues than sibling warmth. The nature of sibling influences and the direction of future research were discussed.

A systematic review and summarization of the recommendations and research surrounding Curriculum-Based Measurement of oral reading fluency (CBM-R) decision rules.

Research and policy have established that data are necessary to guide decisions within education. Many of these decisions are made within problem solving and response to intervention frameworks for service delivery. Curriculum-Based Measurement in Reading (CBM-R) is a widely used data collection procedure within those models of service delivery. Although the evidence for CBM-R as a screening and benchmarking procedure has been summarized multiple times in the literature, there is no comprehensive review of the evidence for its application to monitor and evaluate individual student progress. The purpose of this study was to identify and summarize the psychometric and empirical evidence for CBM-R as it is used to monitor and evaluate student progress. There was an emphasis on the recommended number of data points collected during progress monitoring and interpretive guidelines. The review identified 171 journal articles, chapters, and instructional manuals using online search engines and research databases. Recommendations and evidence from 102 documents that met the study criteria were evaluated and summarized. Results indicate that most decision-making practices are based on expert opinion and that there is very limited psychometric or empirical support for such practices. There is a lack of published evidence to support program evaluation and progress monitoring with CBM-R. More research is required to inform data collection procedures and interpretive guidelines.