Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

This dissertation project explores the potential for using an inferential statistics test (t-tests) within an existing writing program assessment design. The purpose of using inferential statistics is to provide several perspectives on a data set collected using the existing assessment design thereby improving what a writing program administrator…

Recent advancements in testing differential item functioning (DIF) have greatly relaxed restrictions made by the conventional multiple group item response theory (IRT) model with respect to the number of grouping variables and the assumption of predefined DIF-free anchor items. The application of the L[subscript 1] penalty in DIF detection has…

In education research test scores are a common object of analysis. Across studies test scores can be an important outcome, a highly predictive covariate, or a means of assigning treatment. However, test scores are a measure of an underlying proficiency we can't observe directly and so contain error. This measurement error has implications for how…

Research has indicated that undergraduate students struggle with conceptual understanding of confidence intervals, negatively impacting statistical literacy skills, and advocates have suggested the flipped classroom pedagogy as a potential solution. The purpose of this nonequivalent control group quasi-experimental study was to determine if a…

Traditional pre-test (TpT)/post-test (PT) and retrospective pre-test (RpT)/post-test (PT) designs are used to collect data on self-reported measures to assess the magnitude of change that occurs from interventions. If measurement invariance does not exist across the measurement occasions within these research designs, it is inappropriate to…

Motivation is a central variable in science education research. The Science Motivation Questionnaire II (SMQ II) is an instrument designed to measure student motivation to learn science. Nearly all peer-reviewed studies (n = 26) of the SMQ II have used Classical Test Theory frameworks despite known limitations with this approach. The present study…

The assessment of oral proficiency in English for Specific Purposes (ESP) contexts remains a central challenge for researchers, test developers, and classroom teachers (Knoch & Macqueen, 2020). This problem is apparent especially in Tourism and Hotel Management (THM) programs, where students are tested mostly based on grammar, vocabulary, and…

Second language (L2) writing has been determined to be influenced by what is read, with language learners tending to borrow words and short phrases from input texts while writing (e.g., Wang & Wang, 2015). This phenomenon is referred to as lexical alignment. Only one empirical study has investigated the influence that the linguistic complexity…

The purpose of this two-group descriptive efficacy study was to explore the relationship between school configuration and academic and non-academic outcomes of sixth grade elementary students compared to academic and non-academic outcomes of sixth grade middle school students. The independent variable is the school configuration. Group 1 includes…

The purpose of this research is to investigate whether there are differences in student engagement of Allied Health students that attend five participating Maryland community colleges. Student engagement is measured by five benchmark scores on the Community College Survey of Student Engagement (CCSSE). The research question was, Are there…

This study compared an expert-based cognitive model of domain mastery with student-based cognitive models of task performance for Integrated Algebra. Interpretations of student test results are limited by experts' hypotheses of how students interact with the items. In reality, the cognitive processes that students use to solve each item may be…

In educational research, a randomized controlled trial is the best design to eliminate potential selection bias in a sample to support valid causal inferences, but it is not always possible in educational research because of financial, ethical, and logistical constrains. One alternative solution is use of the propensity score (PS) methods.…

Synthetic control methods are an innovative matching technique first introduced within the economics and political science literature that have begun to find application in educational research as well. Synthetic controls create an aggregate-level, time-series comparison for a single treated unit of interest for causal inference with observational…

Recent estimates suggest there are roughly 1.6 million homeless children and this number is growing (National Center on Family Homelessness, 2011). This trend is particularly worrisome given that homeless children face a number of obstacles within society and education, not the least of which is negative teacher attitudes (Swick, 2000; U.S.…