This study used corpus-based methodology to analyze what, if any, differences exist in the linguistic complexity of EdD and PhD dissertations in Educational Leadership. The study is conceptually framed around language variation within discipline and genre. The corpus created for this study, DISSCORP, was comprised of 200 dissertations, 100 EdD and…

To better understand Tennessee's new standardized science assessments, this quantitative study utilized a nonexperimental, descriptive-comparative design to compare the readability of the long-used science TCAP assessment with the newly created science TNReady assessment in grades three, four, and five. As new standards in the state boast higher…

To investigate how readability affects the way adults who are learning to read evaluate health information, a mixed methods research study was designed based on a sociotechnical framework and using theories of everyday life information seeking. The study analyzed a corpus of consumer health information documents (N = 501) using the CohMetrix text…

Educators often inquire about the readability of books and other documents used in the classroom, with the idea that readability supports students' reading comprehension and growth. Documents used in classrooms tend to be language-based, so readability metrics have long focused on the complexity of language. However, such metrics are unsuitable…

The following is a five-chapter dissertation surrounding the use of text mining techniques for better understanding the language of mathematics items from standardized tests to improve linguistic equity of these items to support assessment of English Language Learners. Introduction: The dissertation begins with an overview of the problem that…

The importance of input on language learning cannot be overstated. One method of providing input to learners at a level that is appropriate for them is called extensive reading, in which learners read an abundance of texts. In practice, for learners of English as a second or foreign language, these texts are often books that have been written and…

According to the RAND model framework, reading comprehension test performance is influenced by readers' reading skills or reader characteristics, test properties, and their interactions. However, little empirical research has systematically compared the impacts of reader characteristics, test properties, and reader-test interactions across…

A commonly held belief among educators, researchers, and students is that high-quality texts are easier to read than low-quality texts, as they contain more engaging narrative and story-like elements. Interestingly, these assumptions have typically failed to be supported by the writing literature. Research suggests that higher quality writing is…

Currently there is no agreed-upon method for determining the difficulty level, referred to as the readability level, of Reading Curriculum-Based Measurement (R-CBM) passages. A key tenant of R-CBM is that the passages across each grade level are equivalent in difficulty level and therefore can be used to monitor student academic improvement. The…

Accurate assessment of a text's level of translation difficulty is critical for translator training and accreditation, translation research, and the language industry as well. Traditionally, people rely on their general impression to gauge a text's translation difficulty level. If the evaluation process is to be more effective and the…

This dissertation investigates and problematizes emergent bilingual students' achievement gaps in an existing corpus of middle-school science assessment data. I first characterize achievement gaps across national data, state data, and the corpus of approximately 27,000 students as an analytic backdrop. I then sample a subset of the 6th grade…

The advent of No Child Left Behind led to increased teacher accountability for student performance and placed strict sanctions in place for failure to meet a certain level of performance each year. With instructional time at a premium, it is imperative that educators have brief academic assessments that accurately predict performance on…