This report aims to showcase the value of implementing a Bayesian framework to analyse and report results from international large-scale surveys and provide guidance to users who want to analyse the data using this approach. The motivation for this report stems from the recognition that Bayesian statistical inference is fast becoming a popular…

Proposition 209 banned the use of racial preferences in admissions at public colleges in California. We analyze unique data for all applicants and enrollees within the University of California (UC) system before and after Prop 209. After Prop 209, graduation rates increased by 4.4%. We present evidence that certain institutions are better at…

The current study examines three regression models: OLS (ordinary least square) linear regression, Poisson regression, and negative binomial regression for analyzing count data. Simulation results show that the OLS regression model performed better than the others, since it did not produce more false statistically significant relationships than…

This report provides a general overview of available courseware for computer assisted instruction by examining the distribution of these packages across grade level, hardware type, instructional mode, and subject areas, including art, business education, computer science, language arts, foreign language, mathematics, science, social studies,…

This report provides an analysis of microcomputer software available for elementary and secondary level instruction in 1989 as compared to 1984. Data from the Resources in Computer Education (RICE) database are used to compare distribution of software programs by grade level; hardware manufacturer; application type (drill, tutorial, simulation,…