Partially compensatory models may capture the cognitive skills needed to answer test items more realistically than compensatory models, but estimating the model parameters may be a challenge. Data were simulated to follow two different partially compensatory models, a model with an interaction term and a product model. The model parameters were…

Growth curve modeling provides a general framework for analyzing longitudinal data from social, behavioral, and educational sciences. Bayesian methods have been used to estimate growth curve models, in which priors need to be specified for unknown parameters. For the covariance parameter matrix, the inverse Wishart prior is most commonly used due…

A quantitative study was conducted to get the perspectives of IT experts about risks in enterprise cloud computing. In businesses, these IT experts are often not in positions to prioritize business needs. The business experts commonly known as business managers mostly determine an organization's business needs. Even if an IT expert classified a…

We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally…

How to identify at-risk students in open online courses has received increasing attention, since the dropout rate is unexpectedly high. Most prior studies have focused on using machine learning techniques to predict student dropout based on features extracted from students' learning activity logs. However, little work has viewed the dropout…

Finland offers a specific example of a country with a broad enrolment in higher education, where the educational starting age is relatively high and where studies may last considerably longer than in most other European countries. This study attempted to identify at-risk students in Finnish universities with the greatest probability of…

Estimating the effect of campus math tutoring support, this study demonstrates the use of propensity score weighted and matched-data analysis and examines the correspondence with results from parametric regression analysis.

Although a large-scale experiment can provide an estimate of the average causal impact for a program, the sample of sites included in the experiment is often not drawn randomly from the inference population of interest. In this article, we provide a generalizability index that can be used to assess the degree of similarity between the sample of…

The aprioristic (classical, naïve and symmetric) and frequentist interpretations of probability are commonly known. Bayesian or subjective interpretation of probability is receiving increasing attention. This paper describes an activity to help students differentiate between the three types of probability interpretations.

We consider the relative performance of two common approaches to multiple imputation (MI): joint multivariate normal (MVN) MI, in which the data are modeled as a sample from a joint MVN distribution; and conditional MI, in which each variable is modeled conditionally on all the others. In order to use the multivariate normal distribution,…

Numerous policy initiatives have highlighted the need for the United States to produce more STEM graduates to meet labor market demands. This study challenges that narrative by focusing on the many STEM bachelor's degree holders who do not currently go on to work in a STEM field. Data from the Educational Longitudinal Survey of 2002 (ELS:2002)…

The goal of the present study is to examine the stability of time attitudes profiles across a one-year period as well as the association between time attitudes profiles and several variables. These variables include attitudes towards alcohol, context of alcohol use, consumption of a full drink, and subjective life expectancy. We assessed the…

Complex issues such as bullying have brought to light the importance of expanding school prevention efforts to include interventions focused on multiple levels of practice. Utilizing data gathered from middle-school teachers across the state of Michigan, this study examines how both individual and organizational characteristics influence teacher…

Instructional technologists and faculty in post-secondary institutions have increasingly adopted learning analytics interventions such as dashboards that provide real-time feedback to students to support student' ability to regulate their learning. But analyses of the effectiveness of such interventions can be confounded by measures of students'…

Many students enter college without the skills and knowledge needed to successfully perform college-level work. An important leverage point for increasing college readiness is the transition from high school to college. One strategy implemented at postsecondary institutions to ease this transition, boost academic and social readiness, and foster…