In this article, Julia So discusses the purpose of program assessment, four common missteps of program assessment and reporting, and how to prevent them. The four common missteps of program assessment and reporting she has observed are: (1) unclear or ambiguous program goals; (2) measurement error of program goals and outcomes; (3) incorrect unit…

Program evaluation often suffers due to time constraints, imperfect instruments, incomplete data, and the need to report standardized metrics. This article about the evaluation process for the Wi$eUp financial education program showcases the difficulties inherent in evaluation and suggests best practices for assessing program effectiveness. We…

This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…

Background: Return on investment (ROI) is one of the most popular evaluation metrics. ROI analysis (when applied correctly) is a powerful tool of evaluating existing information systems and making informed decisions on the acquisitions. However, practical use of the ROI is complicated by a number of uncertainties and controversies. The article…

As more institutions of higher education engage in the practice of leadership education, the effective assessment of these efforts lags behind due to a variety of factors. Without an intentional assessment plan, leadership educators are liable to make one or more of several common errors in assessing their programs and activities. This article…

"How New York City's Charter Schools Affect Achievement" estimates the effects on student achievement of attending a New York City charter school rather than a traditional public school and investigates the characteristics of charter schools associated with the most positive effects on achievement. Because the report relies on an…

The aim of this paper is to explore methods for evaluating the effects of randomized interventions in a longitudinal design. The focus is on methods for modeling the possibly nonlinear relationship between treatment effect and baseline and evaluating the treatment effect taking this nonlinear relationship into account. A control/treatment growth…

Some of the threats to internal validity that arise when evaluating the impact of water conservation programs during a drought are illustrated. These include differential response to the drought, self-selection bias, and measurement error. How to deal with these problems when high-quality disaggregate data are available is discussed. (SLD)

Recent methodological advances are described that enable the analyst to extract additional information from the data envelopment analysis (DEA) methodology, including goal programming to develop cross-efficiencies, cluster analysis, analysis of variance, and pooled cross section time-series analysis. Some shortcomings of DEA are discussed. (LMO)

Presents a general framework for designing sampling programs that ensure cost effectiveness, and managed errors kept within known and acceptable limits. (LZ)

The statistical technique, "Zero-One Linear Programming," that has successfully been used to create multiple tests with similar characteristics (e.g., item difficulties, test information and test specifications) in the area of educational measurement, was deemed to be a suitable method for creating multiple sets of matched samples to be…

This document contains three papers developed by the Center for the Study of Evaluation's (CSE's) Research into Practice Project. The first paper, "A Process for Designing and Implementing a Dual Purpose Evaluation System," by Pamela Aschbacher and James Burry, provides a model for evaluating programs for two purposes simultaneously: (1) program…