The COVID epidemic has provided an excellent example of the need to call on a wide variety of statistical tools to address a global problem, and can give students insights into some of the dimensions of data science. Here, we describe some of the characteristics of data that students encounter as citizens. We set out some teaching ideas, which…

This article discusses the current situation of research methodology training for international relations (IR) graduate students in China. Since the country's opening up, research methods training in IR has gradually advanced in universities. We administered a survey to postgraduate IR students in China about their training in research…

The purpose of the study is to identify how the course that covers the components of the ten-stepwise approach to discourse analysis of political texts helps international students study the political meanings in Ukraine. The study used the structured observation method to collect rather quantitative than qualitative data and observers' reports on…

Student modeling is useful in educational research and technology development due to a capability to estimate latent student attributes. Widely used approaches, such as the Additive Factors Model (AFM), have shown satisfactory results, but they can only handle binary outcomes, which may yield potential information loss. In this work, we propose a…

This paper provides practical guidance for scholars and practitioners looking to develop more rigorous, comprehensive, and inclusive research that could guide proactive efforts to improve access, experiences, and outcomes for college students with disabilities. To do so, we (a) identify critical challenges affecting research and assessment related…

The characteristic curve methods have been applied to estimate the equating coefficients in test equating under the graded response model (GRM). However, the approaches for obtaining the standard errors for the estimates of these coefficients have not been developed and examined. In this study, the delta method was applied to derive the…

This paper examines the process of the making and development of parochial schools in Russia in the pre-revolutionary period. An insight is provided into the scale of work carried out in that area, the evolution of parochial schools in Russia, and the regulatory framework for them. The main sources for this paper are reports from the Chief…

The current COVID-19 situation has seen a plethora of data, statistics and predictions presented to society--some making incredible claims. The authors are concerned that statistics and probability still receive inadequate attention in the classroom, leaving students without the statistical literacy needed to make sense of the claims being made.…

Meta-analysis of individual participant data (IPD) is considered the "gold-standard" for synthesizing clinical study evidence. However, gaining access to IPD can be a laborious task (if possible at all) and in practice only summary (aggregate) data are commonly available. In this work we focus on meta-analytic approaches of comparative…

The aim of the present assay is to provide a simple algorithm as well as a didactic theoretical framework that may serve as an introduction to understanding modern habitat suitability (HS) modelling techniques in Ecology and Biogeography. The proposal is built on classical descriptive statistics and classical ecological theories. Shelford's theory…

As STEM education becomes more prominent at the school level, many possibilities could be suggested for beginning experiences to create a foundation for young students as they begin their journeys with respect to STEM learning. The research reported here is based on the premise that building statistical understanding will enhance young students'…

This quantitative study investigates the diversity of the American Library Association's Michael L. Printz Award which is given for outstanding young adult literature titles. The award's website notes that it strives for diversity amongst the award winning or honored titles. This study uses quantitative analysis to determine if the committee's…

Within mixed methods research, a key issue is how to mix qualitative and quantitative research orientations. Similar debates arise within a mixed method called Q methodology [Q] that has an 80-year history and strong qualitative leanings. Q is often identified with the sorting of statements and the factor analysis (grouping) of people with similar…

Recently, Nissen et al. argued in this journal for the use of Cohen's d, in place of the more commonly used normalized gain, in the analysis of preinstruction and postinstruction scores on concept inventories used to measure the effectiveness of instruction. Their reason for advocating such a change is that they say normalized gains are…

Widespread availability of rich educational databases facilitates the use of conditioning strategies to estimate causal effects with nonexperimental data. With dozens, hundreds, or more potential predictors, variable selection can be useful for practical reasons related to communicating results and for statistical reasons related to improving the…