This dissertation address two significant challenges in the causal inference workflow for Big Observational Data. The first is designing Big Observational Data with high-dimensional and heterogeneous covariates. The second is performing uncertainty quantification for estimates of causal estimands that are obtained from the application of black box…

Purpose: The main objective of the paper is to develop an investment model using data envelopment analysis (DEA) that provides a decision-making framework to allocate resources efficiently, such that the relative efficiency is improved within an available investment budget. Design/methodology/approach: Firstly, DEA models are used to evaluate the…

We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.

Video data offer important insights into social processes because they enable direct observation of real-life social interaction. Though such data have become abundant and increasingly accessible, they pose challenges to scalability and measurement. Computer vision (CV), i.e., software-based automated analysis of visual material, can help address…

This study aims to determine the graphical literacy levels of middle school mathematics teachers. The participants of the study consisted of 33 middle school mathematics teachers working in different provinces. The data of the study were collected with the help of the graphical literacy test created by the researchers. The data were analyzed by…

Purpose: Reflexivity involves critical reflection by the qualitative researcher as to the influence of the researcher's culture, history and belief on the conduct and outcome of the research. It is often seen as a practice exercised in the analysis of results in order to attempt to objectify the research. The purpose of this paper is to argue that…

Purpose: Judging bias is ironically an inherent risk in every competition, which might threaten the fairness and legitimacy of the competition. The patriotism effect represents one source of judging bias as the judge favors contestants who share the same sentiments, such as the nationalistic, racial, or cultural aspects. This study attempts to…

In this ethnographic study, I present a single school's practice of registering and analysing absence from school. I show that teachers use various "dirty," interpretational contexts for understanding absence and make it classifiable in "clean" attendance categories -- a move that decontextualises the meaning of absence. When…

We examine four important considerations in the development of covariate adjustment methodologies for indirect treatment comparisons. First, we consider potential advantages of weighting versus outcome modeling, placing focus on bias-robustness. Second, we outline why model-based extrapolation may be required and useful, in the specific context of…

Given their potential, "Big Data and Analytics" can help institutions of higher education to thoroughly examine newly emerging challenges, explore and identify new ways to address them, and predict future outcomes for growth. Considering how new "Big Data and Analytics" are, existing knowledge about the potential value to…

We report on the design and development of an introductory analytics course delivered to almost 10,000 undergraduate business students to date. One novel aspect of the course is its orientation to add analytics capabilities to a business student's toolbox, resulting in significant design and implementation implications. We anchored the course on…

Proteomics, or the study of the set of proteins in an organism, tissue, or cell, is a rapidly growing field within bioanalytical chemistry that can be used to investigate many biological questions. However, proteomics is not fully integrated into the undergraduate chemistry curriculum because of a lack of access to expertise, the cost of required…

In this activity, students observe chemical and physical properties of elements using an online periodic table, where these properties were shown numerically and by colors. Then the elements were divided into metals, nonmetals, and metalloids, and their periodic properties were visualized using statistical concepts such as normality, kurtosis,…

Using Jackson and Mazzei's thinking with theory, this paper centers the stories of three researchers who practiced critical self-reflection while engaging in secondary analysis of data from The Pedagogy of Student Success Project, a study intended to learn about graduate students' evolving conceptualizations of student success. In particular, the…

The demand for qualified analytics professionals remains high with forecasts showing a continued need over the next few years. While this demand necessitates instruction in analytics in the classroom, many students find analytics concepts to be complicated and boring. This teaching brief describes a novel approach to teaching analytics through…