In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step…

As data have become more prevalent in academia, industry, and daily life, it is imperative that undergraduate students are equipped with the skills needed to analyze data in the modern environment. In recent years there has been a lot of work innovating introductory statistics courses and developing introductory data science courses; however,…

Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…

Learning processes often occur at a situational level. Changes in learning context have implications on how students are motivated or are able to cognitively process information. To study such situational phenomena, Experience Sampling Method (ESM) can help assess psychological variables in the moment and in context. However, data collected via…

Objective: To examine the association between fraternity/sorority membership and athlete status with tobacco use by tobacco product type. Participants: Undergraduate college students who participated in the Spring 2017 National College Health Assessment-II Survey (n = 47,821). Methods: Prevalence of current (past-30 day) cigarette smoking,…

This paper presents the importance of the visual expression of factor decomposition in regression analysis, which is particularly worthwhile for undergraduate students whose majors are not mathematics but social science. The conventional purpose of regression analysis is to examine specific hypotheses empirically. In particular, the statistical…

Purpose: Communication apprehension (CA) is the fear or anxiety about communicating. In addition, self-perceived communication competence (SPCC) refers to the learners' perception of their competence. CA hampers individuals' ability to communicate effectively in various communication contexts, which has an impact on their employability. Confident…

Previous research has suggested mixed results concerning gifted populations and achievement goal orientation. This study investigated achievement goal orientation in honors and general education undergraduate students, exploring the factor structure of a commonly used assessment and looking at ability level differences using two types of…

An important problem in higher education is to find the most suitable admission procedure that can distinguish between students with high academic potential and future dropouts. Admissions usually rely on pre-enrolment achievement measures; therefore, it is crucial that these selection criteria have high predictive validity on academic…

The 21st century is referred to as the digital age, which places demands not only on the ability to work with information but also on being able to understand them as well as evaluate its relevance. The aim of this paper was to find out how ICT competences affect the individual domains of critical thinking in university students. The sample…

Field learning is fundamental in geoscience, but cost, accessibility, and other constraints limit equal access to these experiences. As technological advances afford ever more immersive and student-centered virtual field experiences, they are likely to have a growing role across geoscience education. They also serve as an important tool for…

Universities and students increasingly view internships as valuable learning experiences that complement and augment academic classroom learning. Students benefit from the opportunity to apply recently acquired knowledge in the 'real world,' to identify knowledge gaps that they should address in future coursework, and to secure a post-graduation…

Machine learning, a subdomain of artificial intelligence, is a widespread technology that is molding how chemists interact with data. Therefore, it is a relevant skill to incorporate into the toolbox of any chemistry student. This work presents a workshop that introduces machine learning for chemistry students based on a set of Python notebooks…

The reasons why Brazilian civil engineering education has not achieved competitive performance worldwide remain unclear. Thus, this study aims to identify what factors influence student performance in civil engineering undergraduate programs in public institutions in Brazil. Multiple linear regression methods were used to analyse the interactions…

The purpose of this study is to analyze the relationships between the flow states and undergraduate attitudes' towards math and engagement in a mathematics course in an education faculty. The results showed that the more positive attitudes the students had towards mathematics courses, the more flow they experienced and the less anxiety they had in…