This study presented a secondary analysis of the National Assessment of Educational Progress (NAEP) dataset. The paper explored the differences between fourth grade reading scores by examining (1) how often the fourth graders discuss their school work at home with family and (2) how often the fourth graders discuss what they were reading with…

Studies using tests scores as the dependent variable often report point estimates in student standard deviation units. We note that a standard deviation is not a standard unit of measurement since the distribution of test scores can vary across contexts. As such, researchers should be cautious when interpreting differences in the numerical size of…

Student explanations of their mathematical thinking and conclusions have become a greater part of the assessment landscape in recent years. With a sample of 71 4th-grade students at-risk for mathematics learning disabilities, we investigated the relation between student accuracy in comparing the magnitude of fractions and the quality of students'…

This study examines student-teacher "racial match" for its association with Black student achievement. Multilevel structural equation modeling was used to analyze 2013 National Assessment for Educational Progress (NAEP) Grade 4 Reading Assessment data to examine interactions of teacher race and student race in their associations with…

It has long been argued that U.S. states' differential performance on nationwide assessments may reflect differences in students' opportunity to learn the tested content that is primarily due to variation in curricular content standards, rather than in instructional quality or educational investment. To quantify the effect of differences in…

The link between reading and mathematics achievement is well known, and an important question is whether readability factors in mathematics problems are differentially impacting student groups. Using 20 years of data from the National Assessment of Educational Progress and the Trends in International Mathematics and Science Study, we examine how…

The relationships between cumulative family risk factors and American students' academic performance were examined in all 50 States and the District of Columbia. Data from the 2007 "American Community Survey" were used to ascertain the percent of birth to 18 year old children in the United States who experienced three or more risk…

The purpose of this study was to address the extent to which adequacy litigation functions as a means for improving student achievement, particularly among low-income and minority students. The study extended theory established in prior studies, and took into account the idea that change takes several years to realize and that sufficient time to…

This paper presents an application of a jackknifing approach to variance estimation of ability inferences for groups of students, using a multidimensional discrete model for item response data. The data utilized to demonstrate the approach come from the National Assessment of Educational Progress (NAEP). In contrast to the operational approach…

Estimation of parameters of random effects models from samples collected via complex multistage designs is considered. One way to reduce estimation bias due to unequal probabilities of selection is to incorporate sampling weights. Many researchers have been proposed various weighting methods (Korn, & Graubard, 2003; Pfeffermann, Skinner,…

The purposes of this study were to investigate the effects of an intervention designed to improve at-risk 4th graders' understanding of fractions and to examine the processes by which effects occurred. The intervention focused more on the measurement interpretation of fractions; the control condition focused more on the part-whole interpretation…

It is generally expected that funds invested in public instruction will strengthen pupil achievement. Similarly, it is expected that enrollments of young children in preschool education should lead to higher achievement. In a trend analysis, we examined three variables as predictors of grade 8 achievement in 2007: (1) state expenditures per…

In this article, we consider estimation of parameters of random effects models from samples collected via complex multistage designs. Incorporation of sampling weights is one way to reduce estimation bias due to unequal probabilities of selection. Several weighting methods have been proposed in the literature for estimating the parameters of…

This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response theory (IRT) to a latent variable model with covariates…

Mathematics knowledge and skills serve as the "gatekeeper" to students' choice of college majors, success obtaining college degrees, and entry into the workforce. However, on the mathematics portion of standardized tests, U.S. fourth and eighth graders performed below their peers in countries such as Singapore, Hong Kong, China, and…