Having the ability to make informed decisions about health, financial investments, and even the weather are all important to our everyday lives. However, most people receive no formal education on how to read and understand data presented in formats such as data tables and graphs. Research within the field of statistical reasoning demonstrates a…

Relative clause (RC) production is an important language milestone for children. Incorporating a felicitous context when assessing RC production is of theoretical and clinical value. This study investigated how a felicitous context influenced elicited production of RCs from monolingual English-speaking and bilingual Mandarin-English speaking…

Many students who enter a community college expect to transfer and earn a bachelor's degree, yet many are unable to do so largely because of inefficiencies in the transfer of earned credits. Prior research has shown that students who leave community college with an associate degree are more likely to complete bachelor's degrees. However, this has…

According to the few quasi-experimental studies examining course outcomes for community college (Xu & Jaggars, 2011a, 2011b, 2013, 2014) and for-profit students (Bettinger, Fox, Loeb, & Taylor, 2014), there is a significant penalty for online students. No comparable research has been conducted on public four-year university students to…

In line with the national trend, Mississippi faces the same challenge that fewer students are completing college degrees. In response to the national call for more degrees, many states have implemented dual enrollment programs to try to decrease the transition anxiety between high school and college, which could possibly lead to more college…

This simulation study compared the utility of various discrepancy measures within a posterior predictive model checking (PPMC) framework for detecting different types of data-model misfit in multidimensional Bayesian network (BN) models. The investigated conditions were motivated by an applied research program utilizing an operational complex…

The purpose of this study was to measure decision-making influences within RtI teams. The study examined the factors that influence school personnel involved in three areas of RtI: determining which RtI measures and tools teams select and implement (i.e. Measures and Tools), evaluating the data-driven decisions that are made based on the…

The importance of subscores in educational and psychological assessments is undeniable. Subscores yield diagnostic information that can be used for determining how each examinee's abilities/skills vary over different content domains. One of the most common criticisms about reporting and using subscores is insufficient reliability of subscores.…

Considering the amount of funding that is distributed to educational research each year, leaders and policymakers have a vested interest in finding scientifically based evidence that answers causal questions regarding program effectiveness. The importance of program evaluation has long been recognized in many fields of research; however, the most…

The purpose of this study was to determine the impact of a summer bridge program geared toward first-year students at a large public university located in the Southeastern United States. The research question guiding this study was, "Does participation in a summer bridge program increase academic success for first-year college students?"…

Students are entering college having earned credit for college Calculus 1 based on their scores on the College Board's Advanced Placement (AP) Calculus AB exam. Despite being granted credit for college Calculus 1, it is unclear whether these students are adequately prepared for college Calculus 2. College calculus classes are often taught from a…

This dissertation is a compilation of several studies that are united by their relevance to probabilistic judgment aggregation. In the face of complex and uncertain events, panels of judges are frequently consulted to provide probabilistic forecasts, and aggregation of such estimates in groups often yield better results than could have been made…

Often researchers face situations where comparative studies between two or more programs are necessary to make causal inferences for informed policy decision-making. Experimental designs employing randomization provide the strongest evidence for causal inferences. However, many pragmatic and ethical challenges may preclude the use of randomized…

This study explored the relationship between successful guessing and latent ability in IRT models. A new IRT model was developed with a guessing function integrating probability of guessing an item correctly with the examinee's ability and the item parameters. The conventional 3PL IRT model was compared with the new 2PL-Guessing model on…

Generalized fiducial inference is a powerful tool for many difficult problems. Based on an extension of R. A. Fisher's work, we used generalized fiducial inference for two extreme value problems and a multiple comparison procedure. The first extreme value problem is dealing with the generalized Pareto distribution. The generalized Pareto…