Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to…

In this study, we investigated how sixth and seventh grade students used CODAP to make sense of roller coaster data while engaged in Exploratory Data Analysis (EDA). Using instrumentation theory, we examined students' instrumentation approaches, as well as the types of instrumental orchestration utilized by teachers as they interacted with student…

Background: The federal Every Student Succeeds Act requires states to develop accountability measures in five indicator areas, including the new "school quality or student success" category. States also provide relative weights for each indicator. Research Questions: This new indicator is an opportunity to further develop multiple…

As the demand for skilled data scientists has grown, university level statistics and data science courses have become more rigorous in training students to understand and utilize the tools that their future careers will likely require. However, the mechanisms to assess students' use of these tools while they are learning to use them are not well…

In this paper, a simple and multiple linear regression model has been developed to analyze and compare math test results of two student groups in the medical high school "Rezonanca", more precisely the students of the two tenth grades in the subject of mathematics of classes X- 3 and X - 7. This paper also presents some exam exercises,…

Cognisant of the benefits and shortcomings of peer review in the enhancement of student learning, the current study investigated how Year 12 students engaged in this activity. Specifically, attention has been paid to how 14 secondary school statistics students experienced peer review, their perceptions of the value of feedback, and the conditions…

"Probability" and "statistical literacy" is an important aspect of the school curriculum in many countries. In this study, we report on findings from a larger study that engaged pre-service teachers as key stakeholders in research in exploring teaching probability and statistics using a game-based teaching approach. The current…

The health costs of in-person schooling during the pandemic, if any, fall primarily on the families of students, largely due to the fact that students significantly outnumber teachers. Data from North Carolina, Wisconsin, Australia, England, and Israel covering almost 80 million person-days in school help assess the magnitude of the fatality risks…

Machine learning has achieved state-of-the-art performance in many areas, including image recognition and natural language processing. However, there are still many challenges and mysteries attracting numerous researchers. This dissertation comprises a series of works concerning problems at the intersection of computer science theory, adversarial…

Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…

This support document accompanies the research summary "From VET to Sustainable Employment for Aboriginal and Torres Strait Islander Peoples," which examines the contribution of vocational education and training (VET) participation to sustainable employment for this cohort of the Australian population. The purpose of this document is to…

In this program evaluation study, we analyzed the impact of interpersonal validation and participation in living-learning communities (LLC) on retention and GPA via regression and propensity score matching. The LLCs were designed to improve outcomes for underrepresented, low-income and first-generation students at a Midwestern regional public…

The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…

Predicting student performance is crucial in higher education, as it facilitates course selection and the development of appropriate future study plans. The process of supporting the instructors and supervisors in monitoring students in order to upkeep them and combine training programs to get the best outcomes. It decreases the official warning…

In this article, I ask to what extent first-generation college students experience statistics anxiety and what are effective pedagogical strategies for building student confidence and encouraging learning. To answer these questions, I draw on the wide-ranging and developing literature on blended teaching methods--most commonly defined as the…