In many large-scale testing programs, examinees are frequently categorized into different performance levels. These classifications are then used to make high-stakes decisions about examinees in contexts such as in licensure, certification, and educational assessments. Numerous approaches to estimating the consistency and accuracy of this…

This dissertation examined classification outcome differences among four popular individual supervised machine learning (ISML) models (logistic regression, decision tree, support vector machine, and multilayer perceptron) when predicting minor class membership within imbalanced datasets. The study context and the theoretical population sampled…

This phenomenological study explores the shared experience of undecided community college students' indecision towards major and career choice using guided questions. The research explores the three categories of undecided student, while further dissecting the categories into subtypes or stages which displays the depth of the undecided student…

We are currently in a century of data where massive amount of data are collected and processed every day, and machine learning plays a critical role in automatically processing the data and mining useful information from it for making decisions. Despite the wide and successful applications of machine learning in different fields, the robustness of…

The active engagement of parents in the educational experiences of their children has been suggested to support high academic achievement for the children. In the project setting, an urban elementary school, educators were struggling to find effective strategies to promote family involvement in their children's education. The purpose of this…

This paper documents an investigation into the nature of the relationship between problem-framing and reported engagement with external research evidence in school-based decision-making. This study serves as an important first attempt to explore and describe this potential relationship and its implications for the use of research in schools.…

Orthography-phonology mapping in world languages exhibits variations. Extensive research has investigated whether orthographic-phonological consistency impacts the cognitive processing of written words. A major body of work has focused on the recognition of phonographic first language (L1) written words. Results show that the more transparent the…

Intelligence tests are important tools in psychology and education; however, the stability of scores and use of intelligence tests has always been surrounded by some controversy. Since its conception in 1905, intelligence testing has become one of the most prominent tasks for school psychologists worldwide. Today's need for frequent use of…

Although scholars have suggested that cognitive errors may plague school psychologists' decisions, there is little research documenting these effects or the extent to which school psychologists are trained to spot these biases. I conducted a study using experimental vignette methodology (EVM) in conjunction with a survey of knowledge, attitudes,…

This study explored the implementation of data driven decision making (DDDM) among superintendents to improve low-performing schools in the Western United States. Specifically, this study utilized the Clark and Estes (2008) Gap Analytic Conceptual Framework to understand superintendents' knowledge, motivation, and organizational influences related…

The large flood of data flowing from observatories presents significant challenges to astronomy and cosmology--challenges that will only be magnified by projects currently under development. Growth in both volume and velocity of astrophysics data is accelerating: whereas the Sloan Digital Sky Survey (SDSS) has produced 60 terabytes of data in the…

Prospective memory (PM) refers to memory for future intentions (e.g. remembering to press a button when you see an animal word). Researchers classify PM intentions in the laboratory as focal or nonfocal primarily in two ways. One way, task-appropriateness, refers to how the processing for the intention relates to the processing required for an…

Language exposure plays a large role in language acquisition, and bilingual children must acquire both of their languages in environments that typically include abundant speech variability. The specific goals of this dissertation were to examine how speech exposure affected phonological retuning and lexical access in bilingual children's second…

Students classified as English learners (EL) are a protected class of students with core legal rights. There are clear opportunities to strengthen education policies and practices to improve opportunities and outcomes for EL-classified students. This dissertation is comprised of three studies examining key issues in EL education with the goal of…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…