In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…

When latent variables are used as outcomes in regression analysis, a common approach that is used to solve the ignored measurement error issue is to take a multilevel perspective on item response modeling (IRT). Although recent computational advancement allow efficient and accurate estimation of multilevel IRT models, we argue that a two-stage…

Random sampling and random allocation are essential processes in the practice of inferential statistics. These processes ensure that all members of a population are equally likely to be selected, and that all possible allocations in an experiment are equally likely. It is these characteristics that allow the validity of the subsequent calculations…

In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…

Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…

Contribution: This article analyzes the elements that determine entrepreneurial intention (EI) in electrical and computer engineering students of a private university in Ecuador. Background: There is a lack of studies examining the EIs of university students in electrical engineering and computing sciences, where EI is influenced by elements, such…

This quasi-experimental study examines the effect of short instruction videos on students' business statistics learning. Two hundred and thirty-one Dutch students attended 6-week online seminars on Business Statistics. One hundred and nineteen students were in an experimental group, and 112 in a control group. Students in the experimental group…

Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…

This study explored the potential relationship between multiple intelligences and academic majors declared by undergraduate business students in the largest college at a mid-size public university in the southeast. To determine these relationships, a quantitative study was performed using data collected electronically. The research questions in…

We analyze here the online and face-to-face teaching of mathematics and statistics at the university level and compare the results of students from two courses of applied mathematics. We examine the influence of online teaching on the performance of students with the help of grades from five consecutive years. A questionnaire on satisfaction with…

This study investigated factors that are associated with the creative motor skills of young children. We recruited through random sampling 233 typically developing children attending preschool or kindergarten in Afyonkarahisar, Turkey. We administered a "General Information Form" to gather the children's demographic characteristics and…

In this paper, we detail a convergent mixed-methods survey of faculty teaching applied social statistics courses, analyzed through a framework of learning theory. The survey explored faculty perceptions and use of recommended strategies for statistics education, perceived barriers to student success, and general recommendations for instruction in…

Large-scale language testing uses statistical information to account for the quality of an assessment system. In this reflection article, I explain how basic statistics can be used meaningfully in the context of classroom language assessment. The paper explores a series of statistical calculations that can be used to examine test scores and…

Teaching introductory statistics to postgraduate students from multidisciplinary background and with diverse mathematics ability is a huge challenge that many statistics lecturers do not deny. The large ability range can make it very difficult for lecturers to fine tune the right level for effective course delivery. Even though an introductory…

Accompanied by increasing demands on school administrator preparation and rapid development of computer technology, educational statistics courses are exposed to unprecedented pressures for changing both curriculum content and computing platforms. In this article, the intended curriculum is reviewed according to data analysis expectations from…