This brief explores data science methods that workforce programs can use to predict participant success. With access to vast amounts of data on their programs, workforce training providers can leverage their management information systems (MIS) to understand and improve their programs' outcomes. By predicting which participants are at greater risk…

In this dissertation we develop a framework that combines data mining, statistics and operations research methods for improving real-time decision support systems in healthcare. Our approach consists of three main concepts: data gathering and preprocessing, modeling, and deployment. We introduce the notion of offline and semi-offline modeling to…

This guide is intended to assist states and service delivery areas (SDAs) in addressing the new oversight responsibilities and opportunities stipulated by the Job Training Partnership Act (JTPA) with respect to implementing net impact evaluations. The following topics are covered in the individual chapters: the objectives and major provisions of…

The State Criminal Justice Telecommunications (STACOM) project has developed techniques for the identification and analysis of user requirements and designs for networks for the dissemination of criminal justice information on a state-wide basis. Techniques developed for user requirements analysis include methods for determining data required,…

Successful college enrollment management requires information about the institution's image, effectiveness of recruiting activities, role of financial aid, student persistence, and alumni success. Enrollment managers must review the literature, develop a performance monitoring system, construct longitudinal cohort tracking files, identify student…

Requirements analysis and design for the Texas Criminal Justice Telecommunications Network are provided in this report on the application in the state of Texas of techniques developed by the STACOM project. These techniques focus on identification of user requirements and network designs for criminal justice information on a state-wide basis.…

This monograph describes three types of evaluation that are potentially useful to school-based clinics: needs assessments, process evaluations, and impact evaluations. Two important methodological principles are involved: (1) collecting multiple kinds of data with multiple methods; and (2) collecting comparison data. Student needs can be…

Describes and evaluates a circuitless flow model for forecasting future student attributes and enrollment projections, compared with a simple Markov chain model. Data from a study of secondary students are used to illustrate the analytical methodologies and to contrast results of the Markov chain and circuitless flow models. (JG)

The newly developed mathematical theory of fuzzy subsets can be applied to educational research and the development of systems for the management of instruction. (SD)

A method for using routinely collected data from large management information systems for program development is described. The example of school lunch participation illustrates the use of time series data to explore causes for observed changes in performance at the various project sites where a program is being carried out. (PN)

Describes the concept of an integrated environment which allows managers to evaluate and measure the performance of computer based information systems. Both system efficiency evaluation and user interaction evaluation are addressed, and MADAM, a system currently operational at the University of Southwestern Louisiana, is briefly described.…

Effective exploration of spatially referenced educational achievement data can help educational researchers and policy analysts accelerate interpretation of datasets to gain valuable insights. This paper illustrates the use of Geographic Information Systems (GIS) to analyze educational achievement gaps in Arkansas. It introduces the Geographic…

Needs assessment is an activity undertaken for planning purposes. It is important to define the limits of the study and design it on a scale appropriate to the entire planning process. This paper suggests that a needs assessment be structured into two phases. In the pre-assessment phase, a conceptual framework and well-defined exploratory…

This manual provides information on the accountability reports prepared by Miami-Dade Community College for use on federal, state, and local levels. First, an overview is presented of the purposes of the Placement and Follow-Up (P&F) system, uses of the data, and the tasks involved in P&F reporting. The bulk of the manual explains the following…

Project FOLLOW-UP was conducted to develop, test, and validate a statewide management information system for follow-up of Texas public junior and community college students. The results of this project was a student information system (TEX-SIS) consisting of seven subsystems: (1) Student's Educational Intent, (2) Nonreturning Student Follow-up,…