Item Response Theory (IRT) models are a popular analytic method for self report data. We show how traditional IRT models can be vulnerable to specific kinds of asymmetric measurement error (AME) in self-report data, because the models spread the error to all estimates -- even those of items that do not contribute error. We quantify the impact of…

This dissertation seeks to investigate how digital gestures connect to students' mathematical understanding when playing "From Here to There!" (FH2T). This investigation explores the intersection of three fields, game-based learning, embodied cognition, and mathematics education. I used three studies which break down the different…

All chemistry students must develop competency in analyzing and making sense of data. However, there are many difficulties that chemistry students may experience while analyzing data. Many students may not use relevant prior knowledge to aid in making sense of data, or they may not form conclusions using all the data provided. Additionally, prior…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

This dissertation develops and applies sophisticated Item Response Theory (IRT) methods to address fundamental measurement challenges in cognitive testing, focusing on the Armed Services Vocational Aptitude Battery (ASVAB) data from the National Longitudinal Survey of Youth (NLSY). The first chapter implements a confirmatory multidimensional IRT…

One way that examinees can gain an unfair advantage on a test is by having prior access to the test questions and their answers, known as preknowledge. Determining which examinees had preknowledge can be a difficult task. Sometimes, the compromised test content that examinees use to get preknowledge has mistakes in the answer key. Examinees who…

Foreign language placement testing, an important component in university foreign language programs, has received considerable, but not copious, attention over the years in second language (L2) testing research (Norris, 2004), and it has been mostly concentrated on L2 English. In contrast to validation research on L2 English placement testing, the…

In this research, social media data from a public school district was utilized to help improve district communication during and after a crisis. Data was analyzed by utilizing the programming languages R and Python. The programming languages helped generate data that allowed this research to evaluate how the quality of crisis communication could…

In Huggins-Manley & Han (2017), it was shown that WLSMV global model fit indices used in structural equating modeling practice are sensitive to person parameter estimate RMSE and item difficulty parameter estimate RMSE that results from local dependence in 2-PL IRT models, particularly when conditioning on number of test items and sample size.…

Researchers are increasingly interested in the cognitive behaviors students display during tests. This interest has led researchers to look for innovative ways to collect this type of data. Due to the proliferation of computer-based assessments, process data has become popular for its ability to help show what students know, what students don't…

The purpose of this phenomenological study was to describe the pedagogical influences of the value-added model of evaluation as experienced by elementary school teachers in a North Georgia suburban school district. A transcendental phenomenological design was used to provide a voice to (N = 12) elementary school teachers evaluated with a…

Data mining has been successfully used by financial and retail companies since the mid-1960's to create predictive models and reveal unexpected relationships. However, it remains underutilized as a tool in educational research. Large-scale standardized assessment programs such as the Trends in International Mathematics and Science Study (TIMSS)…

Response to Intervention (RTI) programs are designed to support students at risk of failing in school due to academic or behavioral problems. When RTI programs are applied inconsistently due to teachers' resources or knowledge, students may be wrongly identified for special education services. The purpose of this qualitative bounded descriptive…

Cross-national comparisons of responses to survey items are often affected by response style, particularly extreme response style (ERS). ERS varies across cultures, and has the potential to bias inferences in cross-national comparisons. For example, in both PISA and TIMSS assessments, it has been documented that when examined within countries,…

"For valid disability determination to occur, a diagnostic team needs to be able to determine that a student has received appropriate instruction in the general education classroom" (Johnson, Mellard, Fuchs, & McKnight, 2006, p. 4.2). The purpose of the study was to determine whether a middle school Response to Intervention (RTI)…