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…

This study was conducted to analyze the performance differences between alternative education campuses in Texas that used teacher-directed strategies and those that used self-directed strategies. The study was also conducted to inform educators of the results these two strategies had achieved with at-risk students during the three years of…

The No Child Left Behind Act (2001) increased the federal presence in the test-based accountability movement with its goal of all children meeting standard by 2014. To measure progress toward this goal, each state created a series of intermediate goals. Schools or districts that attained the goal for a given year in 9 different subgroups made…

The purpose of the current study was to identify the extent to which learning styles influence the educational process as well as the outcome of students, particularly elementary-age students, in terms of academic achievement. This study examined the potential relationship between the degree of match (as determined by comparing learning style…

There has been a steady increase in the use of mixed-format tests, that is, tests consisting of both multiple-choice items and constructed-response items in both classroom and large-scale assessments. This calls for appropriate equating methods for such tests. As Item Response Theory (IRT) has rapidly become mainstream as the theoretical basis for…

This simulation study compared the performance of two multilevel measurement testlet (MMMT) models: Beretvas and Walker's (2008) two-level MMMT model and Jiao, Wang, and Kamata's (2005) three-level model. Several conditions were manipulated (including testlet length, sample size, and the pattern of the testlet effects) to assess the impact on the…

In measurement research, data simulations are a commonly used analytical technique. While simulation designs have many benefits, it is unclear if these artificially generated datasets are able to accurately capture real examinee item response behaviors. This potential lack of comparability may have important implications for administration of…

Currently, standardized tests are widely used as a method to measure how well schools and students meet academic standards. As a result, measurement issues have become an increasingly popular topic of study. Unidimensional item response models are used to model latent abilities and specific item characteristics. This class of models makes…

This study examined test-optional admission policies and their effect on the composition of the student body at King's College. According to the College Board (2009), students from underrepresented populations do not perform as well as White students on standardized tests. Therefore, higher education institutions have established test-optional…

When test forms are administered to examinee groups that differ in proficiency, equating procedures are used to disentangle group differences from form differences. This dissertation investigates the extent to which equating results are population invariant, the impact of group differences on equating results, the impact of group differences on…

This study examined the effectiveness of the odds-ratio method (Penfield, 2008) and the multinomial logistic regression method (Kato, Moen, & Thurlow, 2009) for measuring differential distractor functioning (DDF) effects in comparison to the standardized distractor analysis approach (Schmitt & Bleistein, 1987). Students classified as participating…

The academic underperformance of Black students when compared to their White peers has confounded educators nationwide. This discrepancy in academic performance commonly referred to as the achievement gap has become a national crisis which has led to one of the most significant educational reforms undertaken in the United States of America in the…

Classification testing has been widely used to make categorical decisions by determining whether an examinee has a certain degree of ability required by established standards. As computer technologies have developed, classification testing has become more computerized. Several approaches have been proposed and investigated in the context of…

This study examined whether students who graded and corrected their own test papers improved their learning and standardized test scores on the North Carolina end-of-course test in United States History. Four preexisting, intact classrooms of 11th grade United States History students in two different high schools formed the basis of this…

This dissertation research examined the changes in item RIT calibration that occurred when adding audio to a set of currently calibrated RIT items and then placing these new items as field test items in the modified assessments on the NWEA MAP test platform. The researcher used test results from over 600 students in the Poway School District in…