This article introduces researchers in the science concerned with developing and studying research methods, measurement, and evaluation (RMME) to the educational data mining (EDM) community. It assumes that the audience is familiar with traditional priorities of statistical analyses, such as accurately estimating model parameters and inferences…

Most quantitative analyses in workforce education are affected by missing data. Traditional approaches to remedy missing data problems often result in reduced statistical power and biased parameter estimates due to systematic differences between missing and observed values. This article examines the treatment of missing data in pertinent…

In this article, I present a critical discourse analysis (CDA) of two discourses in learning disabilities (LD)--the academic research literature on emotions of students labeled as LD and retrospective autobiographies from adults labeled as LD writing about their emotions as students. Drawing mainly on Foucaultian explanations of power, I…

In 3 experiments, a total of 151 monolingual and bilingual 6-year-old children performed similarly on measures of language and cognitive ability; however, bilinguals solved the global-local and trail-making tasks more rapidly than monolinguals. This bilingual advantage was found not only for the traditionally demanding conditions (incongruent…

The teaching environment in business schools has changed dramatically over the last decade. But the last comprehensive review of the scholarship of teaching was conducted more than a decade ago. Where and from whom do the best practices for teaching originate today? To answer this question, the authors examine marketing education scholarship…

Survey data are widely used in higher education for purposes such as assessment and strategic planning. One of the most common ways of using surveys has been to assess student learning outcomes by means of proxy questions on a survey, assuming that students who engage in specific behaviors (called engagement) have learned more during college than…

This study illustrates how a diagnostic testing model can be used to make detailed comparisons between student populations participating in international assessments. The performance of Turkish students on the TIMSS-R mathematics test was reanalyzed with a diagnostic testing model called the Rule Space Model. First, mathematical and cognitive…

A sequential-touching task was used to investigate whether 14-month-old infants can rapidly change how they categorize a set of objects, recognizing new groupings of objects they had previously categorized in a different way. When presented with a collection of objects that could be categorized by shape (balls vs. blocks) or material (soft vs.…

The stochastic interactive activation and competition (SIAC) model of perception is presented and tested using several data sets from previous research. The asymptotic predictions of the SIAC model are compared with those of the fuzzy logical model of perception (FLMP). Evidence favoring the FLMP is reviewed. (SLD)

In the fast-growing market-oriented economy of Shenzhen, China, most employees have continued to participate in job-related education and training. We argue that as firms have acquired autonomy in their operations and individuals have gained the right to pursue their personal occupational aspirations, non-state-sponsored education and training…

Electronic language corpora, and their attendant computer software, are proving increasingly influential in language teaching as sources of language descriptions and pedagogical materials. However, few teachers are clear about their nature or their relevance to language teaching. This paper defines corpora and their types, discusses their…