Generalized structured component analysis (GSCA) is a multivariate method for specifying and examining interrelationships between observed variables and components. Despite its data-analytic flexibility honed over the decade, GSCA always defines every component as a linear function of observed variables, which can be less optimal when observed…

Factor analysis is often used to model scales created to measure latent constructs, and internal structure validity evidence is commonly assessed with indices like SRMR, RMSEA, and CFI. These indices are essentially effect size measures and definitive benchmarks regarding which values connote reasonable fit have been elusive. Simulations from the…

There are many important and interesting academic competitions that attract an increasing number of students. However, traditional student team building methods usually have strong randomness or involve only some first-class students. To choose more suitable students to compose a team and improve students' abilities overall, a competition-oriented…

Methods of network meta-analysis (NMA) can be classified as arm-based and contrast-based approaches. There are several arm-based approaches, and some of these have been criticized because they recover inter-study information and hence do not obey the principle of concurrent control. Here, we point out that recovery of inter-study information in…

This article proposes an educational intervention model from Educommunication, integrating communication, pedagogy, information technologies and human development principles. The methods used included, first, an exploratory and quantitative procedure to identify the theoretical foundations of Educommunication and critical attitudes. Then a…

Dialogue, listening, and compromise are essential elements of living in a democracy. In a highly partisan time, is it possible to reestablish common ground when it comes to how best to educate our children in and for democracy? Authors Brendan Sheran, Ashley Carey, Jack Schneider, Rebecca Woodland, and Kathryn McDermott, who are affiliated with…

Voice misclassification threatens the vocal longevity and long-term career success of voice students enrolled in higher education (HE) vocal programs. Not every singer possesses the musculature required to support the unique vocal fold density and subglottal pressure necessary to sing repertoire and roles associated with certain voice types…

There is growing consensus that data-informed decision-making through human-centered inquiry and design process results in improved outcomes for designed artifacts. Among the latest trends is a group of tools and processes loosely assimilated under the umbrella term, "design thinking." These "designerly ways of knowing" are…

Practitioners of adult education have a long history of teaching for social change. They may, however, be uncomfortable using quantitative methods to assess the impact of their learning activities, or they might lack access to statistical analysis software. Quantitative methods help the practitioner determine whether behavioral or attitudinal…

This article deals with serious game design methods. More specifically, it focuses on the following question: is there any universal series of steps to design a serious game? Or is the availability of several different design methods unavoidable? To try to answer this question, we will study a corpus of ten design methods suited to Serious Games.…

Learning resources are quite important for online learning while resource provision based on algorithms could not address learners' ubiquitous needs well. Moreover, the structure and content of resources are pre-defined which makes the "Structure" and "Content" coupled closely and could not easily adjust when learners' needs…

Many psychometric measures yield data that are compatible with (a) an essentially unidimensional factor analysis solution and (b) a correlated-factor solution. Deciding which of these structures is the most appropriate and useful is of considerable importance, and various procedures have been proposed to help in this decision. The only fully…

The concept of 'competence' has gained traction in recent years because of its power in informing broader educational objectives, such as readiness for transition to later educational stages. The responsibility for developing competencies in learners is increasingly laid onto educational institutions via accountability arrangements. As a result,…

Observable data in empirical social and behavioral science studies are often categorical (i.e., binary, ordinal, or nominal). When categorical data are outcomes, they fail to maintain the scale and distributional properties of linear regression and factor analysis. Attempting to estimate model parameters for categorical outcome data with the…

This dissertation consists of three essays that use and develop econometric methods to causally investigate topics in education and development economics. In the first chapter, I develop an econometric framework to correctly and efficiently draw inference in models where estimated value-added (VA) is an explanatory variable (and models where it…