If we wish to embed assessment for accountability within instruction, we need to better understand the relative contribution of different types of learner data to statistical models that predict scores and discrete achievement levels on assessments used for accountability purposes. The present work scales up and extends predictive models of math…

Expansion of the use of student test score data to measure teacher performance has fueled recent policy interest in using those data to measure the effects of school administrators as well. However, little research has considered the capacity of student performance data to uncover principal effects. Filling this gap, this article identifies…

Relations between reading and writing have been studied extensively, but the less is known about the developmental nature of their interrelations. This study applied latent change score modeling to investigate longitudinal relations between reading and writing skills at the word, sentence, and text levels. Latent change score models were used to…

The authors used a large data set (N = 1,011,549) to examine literacy growth over a single school year comparing general education (GenEd) students to three high-risk subgroups: English language learners (ELL), those with a specific learning disability (LD), and those identified as both LD and ELL (LD-ELL) in students in Grades 3-10. The authors…

The present study seeks to evaluate a hybrid model of identification that incorporates response to instruction and intervention (RTI) as one of the key symptoms of reading disability. The 1-year stability of alternative operational definitions of reading disability was examined in a large-scale sample of students who were followed longitudinally…

This study examines model selection indices for use with dichotomous mixture item response theory (IRT) models. Five indices are considered: Akaike's information coefficient (AIC), Bayesian information coefficient (BIC), deviance information coefficient (DIC), pseudo-Bayes factor (PsBF), and posterior predictive model checks (PPMC). The five…

Improving student performance for high-need student populations by improving the use of data in decision-making for early reading intervention programs in northwest Florida is the focus of this research to practice effort. The study is conceptually based on using a relational-feedback intervention (RFI) database model in early learning…

The purpose of this study was to identify (1) the effectiveness of the Intel Essentials model of project-based learning based on student Florida Comprehensive Assessment test (FCAT) reading scores; (2) the differences in student engagement between students in classes with teachers trained in the Intel Essentials model of project-based learning and…

In assessment, the ability to construct test items that measure a targeted skill is fundamental to validity and alignment. The ability to do the reverse is also important: determining what skill an existing test item measures. This paper presents a model for classifying test items that builds on procedures developed by others, including Bloom…

The purpose of this study was to identify factors associated with the growing use of teacher specialists in the elementary schools, particularly in the area of mathematics. The elementary school principals of a large metropolitan school district located in northeastern Florida responded to an online survey that focused on the type of specialist…

The purpose of this descriptive, post hoc single case study was to understand how the five components of Teddlie and Stringfield's (1993) school effectiveness model manifested themselves in school improvements efforts. This study used Teddlie and Stringfield (1993) five component school effectiveness conceptual model (focus on academics, orderly…