Researchers and data analysts are sometimes faced with the problem of very small samples, where the number of variables approaches or exceeds the overall sample size; i.e. high dimensional data. In such cases, standard statistical models such as regression or analysis of variance cannot be used, either because the resulting parameter estimates…

Accurate and early predictions of student performance could significantly affect interventions during teaching and assessment, which gradually could lead to improved learning outcomes. In our research, we seek to identify and formalize temporal parameters as predictors of performance ("temporal learning analytics" or TLA) and examine…

Instrumental variables (IV) methods allow for consistent estimation of causal effects, but suffer from poor finite-sample properties and data availability constraints. IV estimates also tend to have relatively large standard errors, often inhibiting the interpretability of differences between IV and non-IV point estimates. Lastly, instrumental…

Zimmerman, Christakis, and Meltzoff (2007) reported that exposure to Baby Einstein videos was negatively associated with language development. The current study uses the Zimmerman et al. (2007) data set to replicate and extend the original analyses. Caregivers of 392 children aged 6 to 16 months and 358 children aged 17 to 27 months reported on…

Universities have witnessed the consistent growth of increased college-level distance education programs with 32 percent of all students having taken at least one online course (Allen & Seaman, 2013). Key to this continued growth, however, is understanding the factors that contribute to the greatest growth and success in these programs.…

This article reports on a study that explored whether diversity experiences influence students' attitudes toward literary activities during the first year of college. Interactional diversity and attending a diversity workshop had a positive net influence on the outcome measure. Exposure to curricular diversity, however, had only a chance effect on…

Prior empirical research has taken many varying approaches to determine if differences in funding significantly impacts student academic achievement. However, much of these studies exhibit weak generalizability due to their limited scope, timeframe and dissimilar achievement measures. To expand upon the already robust literature in education…

Methods of incorporating a ridge type of regularization into partial redundancy analysis (PRA), constrained redundancy analysis (CRA), and partial and constrained redundancy analysis (PCRA) were discussed. The usefulness of ridge estimation in reducing mean square error (MSE) has been recognized in multiple regression analysis for some time,…

Instant messaging systems--a type of social networking technology that connects people who are physically separated but working together--have seen a dramatic rise in use in globally dispersed organizations, yet there is an absence of academic research in predictive factors of instant messaging adoption. This study examined the factors influencing…

Past estimates of the effect of family income on child development have often been plagued by endogeneity and measurement error. In this paper, we use two simulated instrumental variables strategies to estimate the causal effect of income on children's math and reading achievement. Our identification derives from the large, non-linear changes…

This article examines the environmental impact on the programmatic implementation of community-oriented policing (COP) in large municipal police agencies during the 1990s. Three waves of nationwide surveys (1993, 1996, and 2000) based on a random sample of 281 municipalities and the corresponding police agencies were used for our analysis. Based…

An "undesigned" experiment is one in which the predictor variables are correlated, either due to a failure to complete a design or because the investigator was unable to select or control relevant experimental conditions. The traditional method of analyzing this class of experiment--multiple regression analysis based on a least squares…