This article evaluates the predictions of an algorithmic-level distributed associative memory model as it introduces, propagates, and resolves ambiguity, and compares it to the predictions of computational-level parallel parsing models in which ambiguous analyses are accounted separately in discrete distributions. By superposing activation…

Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in…

Previous research explicates ordinal and disordinal interactions through the concept of the "crossover point." This point is determined via simple regression models of a focal predictor at specific moderator values and signifies the intersection of these models. An interaction effect is labeled as disordinal (or ordinal) when the…

The primary objective of this investigation is the formulation of random intercept latent profile transition analysis (RI-LPTA). Our simulation investigation suggests that the election between LPTA and RI-LPTA for examination has negligible impact on the estimation of transition probability parameters when the population parameters are generated…

Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…

In his proposal for comparative education, Marc Antoinne Jullien de Paris argues that the comparative method offers a viable alternative to the experimental method. In an experiment, the scientist can manipulate the variables in such a way that he or she can see any possible combination of variables at will. In comparative education, or in…

World university ranking systems used the weight-and-sum approach to combined indicator scores into overall scores on which the universities are then ranked. This approach assumes that the indicators all independently contribute to the overall score in the specified proportions. In reality, this assumption is doubtful as the indicators tend to…

The last two decades have witnessed an increasing intensity of quality management in higher education institutions and quality discourses which were followed by debates about and attempts of evaluating the efficacy of quality management in the sector. Accordingly, the article presents a SWOT analysis of impact evaluation of quality management in…

The author gives an overview of typical learning outcomes in business education and assessment instruments that help measure and test these outcomes. Using data from a recently accredited program the author investigated the determinants of performance on assessment exams to help identify and evaluate differences between homegrown and standardized…

Despite our best efforts as evaluators, program implementation failures abound. A wide variety of valuable methodologies have been adopted to explain and evaluate the "why" of these failures. Yet, typically these methodologies have been employed concurrently (e.g., project monitoring) or to the post-hoc assessment of program activities.…

Latent variable structural equation modeling has become the analytic method of choice in many domains of research in psychology and allied social sciences. One important aspect of a latent variable model concerns the relations hypothesized to hold between latent variables and their indicators. The most common specification of structural equation…

Assessing a student's ability to be successful in courses and programs is an important and necessary aspect of student success. Two major practices exist to predict a student's likelihood of succeeding in a course or program: (1) Successful completion of prerequisite or advisory courses (as documented on transcripts) and (2) the assessment for…

Early learning matters and can be strengthened and supported through contexts where children spend much of their time. Strong early learning experiences provide young children with opportunities to enjoy exploring their own interests and growing capabilities. Strong early learning also positively predicts well-being across a range of indicators in…

Student growth measures are increasingly common in K-12 school and teacher accountability policy in the United States. At this time, it is still rare for educator preparation programs (EPPs) to be evaluated by similar measures for either low stakes program improvement or higher stakes accreditation processes. Growth in student achievement reflects…

In this article, we present the utility analysis approach as an alternative and promising approach to measure the return on investment in managerial training programs. This approach, linking economic value with competencies developed by trainees, enables researchers and decision-makers to compare the return on investment from different programs in…