The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)

This manual is a resource of ideas and suggestions for comprehensive statewide planning of vocational education. It is directed toward both experienced and inexperienced vocational education planners. The data analysis and display techniques presented are useful for producing information for developing state plans and for communicating data-based…

Noting that obtaining facts and figures on important policy issues related to children is the critical first step toward identifying what is working and what needs improvement, this Kids Count guide is designed to help local community members find and use data on the condition of children and families in Minnesota. The guide describes how to…

It is suggested that much thought should be given to choosing an appropriate computer language for an institutional research office, considering the sophistication of the staff, types of planned application, size and type of computer, and availability of central programming support in the institution. For offices that prepare straight reports and…

Designed for language teachers who find reading statistical research difficult but necessary, this article focuses on the minimal knowledge needed about statistical techniques for interpreting research findings. It first examines the statistical reasoning underlying quantitative, empirical studies, including normal distribution, standard…

This report provides for Comprehensive Employment and Training Act (CETA) prime sponsors who are responsible for labor market information, a set of guidelines to follow for developing an agency-wide plan for the operational use of labor market information. The body of the report outlines step-by-step procedures for creating such a plan. A brief…