Binary item response theory (IRT) models are widely used in educational testing data. These models are not perfect because they simplify the individual item responding process, ignore the differences among different response patterns, cannot handle multidimensionality that lay behind options within a single item, and cannot manage missing response…

Despite the increasing demand for diagnostic information, observed subscores have been often reported to lack adequate psychometric qualities such as reliability, distinctiveness, and validity. Therefore, several statistical techniques based on CTT and IRT frameworks have been proposed to improve the quality of subscores. More recently, DCM has…

The purpose of this study was to investigate developmental music aptitude with a broader sample in order to propose national norms. Research questions were: 1) To what extent are published Primary Measures of Music Aptitude (PMMA) norms different from those established using a current sample? 2) Are there comparative differences in PMMA item…

Organic chemistry is a class well known to be difficult and necessary for many careers in the sciences, and as a result, has garnered interest in researching ways to improve student learning and comprehension. One potential way involves using eye tracking techniques to understand how students visually examine questions. Organic chemistry involves…

This three-manuscript dissertation attempts to answer the question: "How does students' English language proficiency (ELP) inform the availability, structure, and use of English language accommodations and intervention to support the academic achievement of English learner (EL) students?" The question is addressed using three independent…

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…

This study explores six item-reduction methodologies used to shorten an existing complex problem-solving non-objective test by evaluating how each shortened form performs across three sources of validity evidence (i.e., test content, internal structure, and relationships with other variables). Two concerns prompted the development of the present…

Within polytomous items, differential item functioning (DIF) can take on various forms due to the number of response categories. The lack of invariance at this level is referred to as differential step functioning (DSF). The most common DSF methods in the literature are the adjacent category log odds ratio (AC-LOR) estimator and cumulative…

This dissertation explored whether unnecessary linguistic complexity (LC) in mathematics and biology assessment items changes the direction and significance of differential item functioning (DIF) between subgroups emergent bilinguals (EBs) and English proficient students (EPs). Due to inconsistencies in measuring LC in items, Study One adapted a…

The purpose of this study was to determine if blended learning effects the academic growth of students. The study used NWEA MAP to determine if RIT scores of students in blended learning schools increased more than schools where blended learning was not a focus. In addition, the study examined the perceptions of students and teachers regarding the…

The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…

Social (pragmatic) communication disorder (SPCD) is a new diagnostic category (American Psychiatric Association, 2013) that describes individuals with severe deficits in social communication who do not also meet the criteria for repetitive, restricted behaviors and interests (RRBI) that would qualify them for a diagnosis of Autism Spectrum…

The purpose of the present study is to apply the item response theory (IRT) and testlet response theory (TRT) models to a reading comprehension test. This study applied the TRT models and the traditional IRT model to a seventh-grade reading comprehension test (n = 8,815) with eight testlets. These three models were compared to determine the best…

Different estimation procedures have been developed for the unidimensional three-parameter item response theory (IRT) model. These techniques include the marginal maximum likelihood estimation, the fully Bayesian estimation using Markov chain Monte Carlo simulation techniques, and the Metropolis-Hastings Robbin-Monro estimation. With each…

Cut-score setting processes are used to establish the passing standards for all kinds of tests in education and for credentialing. While experts use their best efforts to guide cut-score setting processes to generate valid and reliable results, cut-score participants often have a difficult time understanding the standard at which the cut score is…