In this article, we explore whether the evaluation instruments used in the teacher selection process in Peru are good predictors of teacher effectiveness. To this end, we estimate teacher value-added (TVA) measures for public primary school teachers and test their relationship with Peru's results of two rounds of the teacher evaluation (i.e., a…

Since the fall semester of 2016, first-time international student enrollment (ISE[subscript ft]) has declined at U.S. colleges and universities. This trend disrupts a steady upwards trajectory of ISE[subscript ft] rates. Previous research has demonstrated that various political, social, and macroeconomic factors influence the number of…

New knowledge tracing models are continuously being proposed, even at a pace where state-of-the-art models cannot be compared with each other at the time of publication. This leads to a situation where ranking models is hard, and the underlying reasons of the models' performance -- be it architectural choices, hyperparameter tuning, performance…

The purpose of this study is to introduce an activity which has been designed in accordance with Science, Technology, Engineering, Mathematics (STEM) education within the scope of 5E learning model and to present the implementation steps of it. The activity plan is on the topics of Nerves, Hormones and Homeostasis in Human Physiology Unit in 11th…

Unavoidable sample size issues beset psychological research that involves scarce populations or costly laboratory procedures. When incorporating longitudinal designs these samples are further reduced by traditional modeling techniques, which perform listwise deletion for any instance of missing data. Moreover, these techniques are limited in their…

Proactive preliminary minimum sample size determination can be useful for the early planning stages of a latent variable modeling study to set a realistic scope, long before the model and population are finalized. This study examined existing methods and proposed a new method for proactive preliminary minimum sample size determination.

The article investigates the patterns that arise in the convergence of numerical methods, particularly those in the errors involved in successive iterations, using data analysis and curve fitting methods. In particular, the results obtained are used to convey a deeper level of understanding of the concepts of linear, quadratic, and cubic…

The purpose of this study was to examine the cognitive predictors of calculations and number line estimation with whole numbers and fractions. At-risk 4th-grade students (N = 139) were assessed on 6 domain-general abilities (i.e., working memory, processing speed, concept formation, language, attentive behavior, and nonverbal reasoning) and…

We conducted a meta-analysis of 28 studies comprising 39 samples to ask the question, "What is the magnitude of the association between various baseline child cognitive characteristics and response to reading intervention?" Studies were located via literature searches, contact with researchers in the field, and review of references from…

The importance of high-tech careers has risen as the international competitiveness of US students on tests of science and math has declined. The problem is compounded by a persistent inequity in STEM participation and achievement in the US across gender and racial and ethnic groups. Bridgewater State University's Student Retention Enhancement…

A foundation in science, technology, engineering, and mathematics (STEM) education is critical for students' college and career advancement, but many U.S. students fail to take advanced mathematics and science classes in high school. Research has neglected the potential role of parents in enhancing students' motivation for pursuing STEM courses.…

Rater behavior in essay grading can be viewed as a signal-detection task, in that raters attempt to discriminate between latent classes of essays, with the latent classes being defined by a scoring rubric. The present report examines basic aspects of an approach to constructed-response (CR) scoring via a latent-class signal-detection model. The…

This paper considers a model of elections in which parties compete simultaneously for multiple districts. I show that if districts are heterogeneous, then a unique two-party equilibrium exists under plurality rule in which further entry is deterred. The equilibrium requires that parties choose noncentrist policy platforms and not converge to the…

Hidden Markov models (HMMs) are widely used in bioinformatics, speech recognition and many other areas. This note presents HMMs via the framework of classical Markov chain models. A simple example is given to illustrate the model. An estimation method for the transition probabilities of the hidden states is also discussed.

Using pooled data for 25 countries for 1962-1976, this paper analyzes foreign students' decisions to return home or remain in the U.S. after completing their training there. Develops a model to explain why the pattern of foreign students' nonreturn varied so greatly across countries of origin and over time. Includes 4 table, 31 notes, and 23…