Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…

An emerging body of research has focused on students' creativity in group contexts, with the assumption that students could be inspired by peers' ideas. Although students' openness and attention to peers' ideas are claimed to play important roles in their creativity in group settings, there is little empirical research that tests this assumption.…

Automated scoring of student language is a complex task that requires systems to emulate complex and multi-faceted human evaluation criteria. Summary scoring brings an additional layer of complexity to automated scoring because it involves two texts of differing lengths that must be compared. In this study, we present our approach to automate…

Studies consistently show associations between school absences and academic achievement. However, questions remain about whether this link depends on the reason for children's absence. Using a sample of the Scottish Longitudinal Study (n = 4,419), we investigated whether the association between school absenteeism and achievement in high-stakes…

Logistic regression is one of the most fundamental tools in predictive analytics. Graduate business analytics students are often familiarized with implementation of logistic regression using Python, R, SPSS, or other software packages. However, an understanding of the underlying maximum likelihood model and the mechanics of estimation are often…

Over the past few years, academics have undertaken initiatives to bridge the gap between theory and practice in the ever-growing field of business analytics, including implementing real-life student projects in all shapes and forms. Every year since 2015, Manhattan College has invited student teams from across North America and elsewhere in the…

Purpose: This paper aims to provide a parsimonious but rigorous model to assist decision-makers to determine critical factors which can lead to higher graduation rates amongst higher education institution (HEI) participants. It predicts the odds of dropout amongst university students, using HEI data from a developing country. This is used as a…

Many studies have assessed students' motivation through surveys, but only a few studies systematically investigated through students' own words the reasons and aims of their achievement striving. In the present study, we rely on the Goal Complex Perspective (Sommet and Elliot in J Educ Psychol 109(8):1141--1162, 2017.…

Whilst student engagement with learning has been consistently linked to positive academic outcomes, there has been an increasing focus among higher education institutions on the importance of producing employable graduates. This study investigated whether individual differences in socially aversive personality traits predict different types of…

This paper evaluates the impact of a video versus text-based instructional method on student learning with an underutilized quasi-experimental research design. Using the regression point displacement design, one of nine online classrooms was randomly assigned to receive video instruction versus eight classrooms that were allocated to text-based…

As vast amounts of data have become available in business in recent years, the demand for data scientists has been rising. The author of this article provides a tutorial on how one entry-level machine learning competition from Kaggle, an online community for data scientists, can be integrated into an undergraduate econometrics course as an…

The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

The aim of the study is to examine the relationship between teachers' perceptions of school culture, their organizational commitment and resistance to change. The data of this study in the correlational survey model were collected from 455 teachers working in the central districts of Mersin. In the study, "Teachers' Organizational Commitment…

In regression analysis courses, there are many settings in which the response variable under study is continuous, strictly positive, and right skew. This type of response variable does not adhere to the normality assumptions underlying the traditional linear regression model, and accordingly may be analyzed using a generalized linear model…

Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are non-randomly allocated, outcomes across the treated and control groups may differ due to the…