Traditional statistical model evaluation typically relies on goodness-of-fit testing and quantifying model complexity by counting parameters. Both of these practices may result in overfitting and have thereby contributed to the generalizability crisis. The information-theoretic principle of minimum description length addresses both of these…

Course selection is a crucial and challenging problem that students have to face while navigating through an undergraduate degree program. The decisions they make shape their future in ways that they cannot conceive in advance. Available departmental sample degree plans are not personalized for each student, and personal discussion time with an…

Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their…

The reauthorization of the U.S. Elementary and Secondary Education Act, referred to as the Every Student Succeeds Act (ESSA), emphasizes evidence-based initiatives while providing new flexibilities to states and districts with regard to the use of federal funds, including funds to promote effective school leadership. In response, state and…

Extreme response set, the tendency to prefer the lowest or highest response option when confronted with a Likert-type response scale, can lead to misfit of item response models such as the generalized partial credit model. Recently, a series of intrinsically multidimensional item response models have been hypothesized, wherein tendency toward…

Unemployment continues to be a growing concern among both civilian and veteran populations. As 14% of the veteran population currently identify as disabled because of service, this population's need for specialized vocational rehabilitation is increasing. Specifically in Veterans Affairs (VA) Blind Rehabilitation Centers (BRC) where holistic…

With the widespread use of the Internet, adopting e-learning systems in courses has gradually become more and more important in universities in Taiwan. However, because of limitations of teachers' time, selecting suitable online IT tools has become very important. This study proposes an analytic hierarchy process (AHP)-multi-choice goal…

The present study examined whether students used qualitative information, quantitative information, or both when making course selection decisions. Participants reviewed information on four hypothetical courses in an advising context before indicating their likelihood to enroll in those courses and ranking them according to preference. Modeled…

The 2009 college football season is here, but there has been a continuing controversy swirling over how the Football Bowl Subdivision (FBS) selects its national champion. College football uses a multi-criterion decision matrix (MCDM) evaluation technique to determine which two teams will play for the national championship. We analyzed the BCS…

Research on preschoolers' selective learning has mostly been conducted in English-speaking countries. We compared the performance of Turkish preschoolers (who are exposed to a language with evidential markers), Chinese preschoolers (known to be advanced in executive skills), and English preschoolers on an extended selective trust task (N = 144).…

This dissertation consists of three chapters. The primary objectives of this dissertation are: (1) to provide a methodological framework of IT (Information Technology) portfolio management, and (2) to identify the effect of IT synergy on IT portfolio selection of a firm. The first chapter presents a methodological framework for IT project…

There has been increasing interest in assessing teachers' cross-curricular competencies as a result of reforms in teacher education in Switzerland. At Zurich University of Teacher Education, future students who do not have formal qualifications are required to pass several examinations and a test, which is known as an "assessment…

After twenty years of expanding school-choice options, state leaders, educators, and families have a new tool: course choice, a strategy for students to learn from unconventional providers that might range from top-tier universities or innovative community colleges to local employers, labs, or hospitals. In "Expanding the Education Universe:…

As employers scan the current workforce and anticipate future workforce needs, they frequently find that employees are not well-equipped with core content knowledge and 21st century workplace competencies, the combination of which the William and Flora Hewlett Foundation defines as "deeper learning." The cumulative effect of these…

Purpose: District effectiveness research (DER) is an emerging field concerned with identifying the organizational structures, administration, and leadership practices at the school district level that help districts find success with all of their students across the schools within the system. This work has mirrored much of the early school…