Graphic organizers and their effects on the reading comprehension of students with LD: a synthesis of research

Previous research studies examining the effects of graphic organizers on reading comprehension for students with learning disabilities (LD) are reviewed. An extensive search of the professional literature between 1963 and June 2001 yielded a total of 21 group design intervention studies that met the criteria for inclusion in the synthesis. Using graphic organizers (i.e., semantic organizers, framed outlines, cognitive maps with and without a mnemonic) was associated with improved reading comprehension overall for students with LD. Compared to standardized reading measures, researcher-developed comprehension measures were associated with higher effect sizes. Initial gains demonstrated when using graphic organizers were not revealed during later comprehension tasks or on new comprehension tasks.     

Confidence Intervals for Weighted Composite Scores Under the Compound Binomial Error Model

Reporting confidence intervals with test scores helps test users make important decisions about examinees by providing information about the precision of test scores. Although a variety of estimation procedures based on the binomial error model are available for computing intervals for test scores, these procedures assume that items are randomly drawn from a undifferentiated universe of items, and therefore might not be suitable for tests developed according to a table of specifications. To address this issue, four interval estimation procedures that use category subscores for the computation of confidence intervals are presented in this article. All four estimation procedures assume that subscores instead of test scores follow a binomial distribution (i.e., compound binomial error model). The relative performance of the four compound binomial–based interval estimation procedures is compared to each other and to the better known normal approximation and Wilson score procedures based on the binomial error model.     

Writing Self-Efficacy in Young Children: Issues for the Early Grades Environment

The intent of this study was to examine young children’s perceptions of writing self-efficacy (Grades K–1). Most research studies find a significant relationship between self-efficacy and achievement in older students (Grades 4–16). Research has also shown that children are affected by personal perceived self-efficacy. Therefore, self-efficacy can affect young learners as well. There are few self-efficacy studies among young learners, especially kindergarten and first grade. This study was conducted to determine if young learners could describe their writing self-efficacy and, if so, how student perceptions compare to teachers’ and researchers’ perceptions.The data showed that participating students from kindergarten and first grade could describe their writing self-efficacy. Several characteristics of children with high and low writing self-efficacy are discussed. Comparisons between teachers’, researchers’, and children’s perceptions of writing self-efficacy showed consistency with 14 of the 18 student participants.     

Detection of Differential Item Functioning in Multiple Groups

Detection of differential item functioning (DIF) is most often done between two groups of examinees under item response theory. It is sometimes important, however, to determine whether DIF is present in more than two groups. In this article we present a method for detection of DIF in multiple groups. The method is closely related to Lard's chi-square for comparing vectors of item parameters estimated in two groups. An example using real data is provided.     

Instructional Strategies to Help Online Students Learn: Feedback from Online Students

Increased enrollment in online programs and courses has prompted a plethora of research on instructional strategies that impact online students’ learning. Most of these strategies came from instructors, and others were solicited from students. While the literature notes that students who have more university experience tend to provide more substantive responses when solicited, there seems to be limited representation of online master’s students’ preferences on what instructional strategies work for them. There is paucity in the literature on how these preferred instructional strategies inform existing theoretical and practical frameworks that could impact online learning performance. This article discusses the Top Ten Instructional Strategies preferred by master’s students who responded to a dissertation survey question - What specific things would you like your online instructors do to help you learn successfully? - and relates these strategies to the Seven Principles for Good Practice in Undergraduate Education and the Quality Matters Rubric.     

Editorial

Editorial Introduction

Editorial