The Relation Between Dialect Density and the Codevelopment of Writing and Reading in African American Children

The purpose of this longitudinal study was to examine the influence of spoken dialect density on writing and on the codevelopment of reading and writing in African American English-speaking (AAE) children from first through fifth grades. The sample included 869 students, ranging in age from 5.8 to 12.5 years. Results indicated that dialect density had a negative influence concurrently and longitudinally on reading and writing in AAE-speaking children. High dialect users tended to have weak reading and writing skills and heavier dialect density slowed growth in reading and writing. However, this effect was moderated by the effects of reading and writing on each other. Reading had a facilitative effect on writing even in the presence of heavy dialect use.     

Teaching Students with Emotional and Behavioral Disorders to Self-advocate through Persuasive Writing

We examined the effectiveness of the Self-Regulated Strategy Development (SRSD) model of writing instruction with a self-determination training component for middle school-age students with emotional and behavioral disorders. We randomly assigned students to experimental or comparison treatments during which special education teachers provided the intervention. Students in the experimental groups received instruction on how to plan and write persuasive essays, were trained on self-determination skills, and were taught how to use persuasive writing to self-advocate. Students in the comparison condition received writing instruction with the established school writing curriculum. Instruction for both groups lasted 33 days, four days a week during 30-minute sessions. Experimental students significantly outperformed comparison students at posttest in all the persuasive essay-writing components assessed, in their ability to recall the parts of a persuasive essay, in the self-efficacy measure, and on self-determination knowledge. Experimental students were able to maintain gains in almost all writing measures and were able to generalize to content areas, although comparison students slightly increased in number of words. Student and teacher interviews revealed an overall satisfaction with SRSD procedures and the results.     

Deduction Algorithms for Some Extensions of Allen’s Interval Logic

This paper considers Allen’s interval logic language and the languages whose statements are Boolean combinations of Allen’s logic statements, possibly, with metric information. Some deduction algorithms for the languages are presented. The algorithms are based on the analytic tableaux method.     

Gotcha! Catching Kids During Mindless Reading

The purpose of the current study was to examine the mindless reading behavior of children. Across two studies, 2nd-grade students read passages while their eye movements were monitored. Trained raters then identified mindless reading behaviors from the eye movement records. Several important findings emerged. We were able to reliably identify mindless reading behavior in children using eye-tracking methodology, which was characterized by shorter gaze durations and total time, more skipping, and in general a more erratic reading pattern than on-task reading behavior. On the other hand, on-task reading behavior was characterized by an increase in fixations and regressions, especially intraword regressions. Word frequency effects were attenuated during mindless reading. In addition, the children who engaged in mindless reading had weaker reading achievement profiles compared to children who read the entire passage.     

Gauging Item Alignment Through Online Systems While Controlling for Rater Effects

The alignment of test items to content standards is critical to the validity of decisions made from standards‐based tests. Generally, alignment is determined based on judgments made by a panel of content experts with either ratings averaged or via a consensus reached through discussion. When the pool of items to be reviewed is large, or the content‐matter experts are broadly distributed geographically, panel methods present significant challenges. This article illustrates the use of an online methodology for gauging item alignment that does not require that raters convene in person, reduces the overall cost of the study, increases time flexibility, and offers an efficient means for reviewing large item banks. Latent trait methods are applied to the data to control for between‐rater severity, evaluate intrarater consistency, and provide item‐level diagnostic statistics. Use of this methodology is illustrated with a large pool (1,345) of interim‐formative mathematics test items. Implications for the field and limitations of this approach are discussed.