The purpose of the study is to analyze the affective traits that affect mathematics achievement through Structural Equation Modeling (SEM) as a traditional regression model and Multivariate Adaptive Regression Splines (MARS), as one of the data mining methods. Structural Equation Modeling, one of the regression-based methods, is quite popular for…

Decisions about who gets admitted to college, especially to selective institutions, are the result of a complex mix of policy and practice, and math expectations are part of that mix. Regardless of whether calculus is necessary for a student's college major, entrenched beliefs about calculus as a sign of rigor can play a significant role in…

We extend a unified and easy-to-use approach to measurement error and missing data. In our companion article, Blackwell, Honaker, and King give an intuitive overview of the new technique, along with practical suggestions and empirical applications. Here, we offer more precise technical details, more sophisticated measurement error model…

Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…

The difference in economic development among nations entirely emanates from difference in human capital development as it is the priority pathway out of poverty, diverse socio-economic and environmental crises. Although, huge investment in human capital development has long been made, mere investment will never lead to quality labor force unless…

Since the 1990s, enrolment in postgraduate programs has increased significantly in Canada. In more recent years, this has led to concerns regarding overproduction and the labour market outcomes of those with postgraduate education. Women have played an important role in this growth, but questions remain as to whether women's progress into the…

Currently available (classical) testing procedures for the network autocorrelation can only be used for falsifying a precise null hypothesis of no network effect. Classical methods can be neither used for quantifying evidence for the null nor for testing multiple hypotheses simultaneously. This article presents flexible Bayes factor testing…

In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a mathematician asked to teach statistics can follow. This model entails connecting with faculty…

In item response theory (IRT) modeling, the Fisher information matrix is used for numerous inferential procedures such as estimating parameter standard errors, constructing test statistics, and facilitating test scoring. In principal, these procedures may be carried out using either the expected information or the observed information. However, in…

A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…

Based on the problems obtained, the ability of students to subjects of research statistics is still categorized as low until this causes them to be weak in completing their final assignments. Therefore, the researchers investigated how students' mastery of the research statistical concepts and their learning motivation using learning innovations,…

The usefulness of item response theory (IRT) models depends, in large part, on the accuracy of item and person parameter estimates. For the standard 3 parameter logistic model, for example, these parameters include the item parameters of difficulty, discrimination, and pseudo-chance, as well as the person ability parameter. Several factors impact…

This article describes the practices the authors use to promote learning mathematics through social interactions that they cultivate in their classrooms throughout the year. The design of their instruction is guided by two productive discourse practices that they have found to be the most powerful. The first practice involved posing open…

This study aimed to assess the accuracy of the empirical item characteristic curve (EICC) preequating method given the presence of test speededness. The simulation design of this study considered the proportion of speededness, speededness point, speededness rate, proportion of missing on speeded items, sample size, and test length. After crossing…

The study adopted a modified Unified Theory of Acceptance and Use of Technology2(UTAUT2) as a theoretical foundation to investigate students' initial perceptions of Google Classroom as a mobile learning platform. By including six non-linear relationships within the modified model, the study examined the nuances in interaction terms between Habit…