Although ability testing has been an American preoccupation since the 1920s, comparatively little systematic attention has been paid to understanding and measuring the kinds of human performance that tests are commonly used to predictâ€"such as success at school or work. Now, a sustained, large-scale effort has been made to develop measures that are very close to actual performance on the job. The four military services have carried out an ambitious study, called the Joint-Service Job Performance Measurement/Enlistment Standards (JPM) Project, that brings new sophistication to the measurement of performance in work settings. Volume 1 analyzes the JPM experience in the context of human resource management policy in the military. Beginning with a historical overview of the criterion problem, it looks closely at substantive and methodological issues in criterion research suggested by the project: the development of performance measures; sampling, logistical, and standardization problems; evaluating the reliability and content representativeness of performance measures; and the relationship between predictor scores and performance measuresâ€"valuable information that can also be useful in the civilian workplace.

In 1997, Congress, in the conference report, H.R. 105-271, to the FY1998 Energy and Water Development Appropriation Bill, directed the National Research Council (NRC) to carry out a series of assessments of project management at the Department of Energy (DOE). The final report in that series noted that DOE lacked an objective set of measures for assessing project management quality. The department set up a committee to develop performance measures and benchmarking procedures and asked the NRC for assistance in this effort. This report presents information and guidance for use as a first step toward development of a viable methodology to suit DOE's needs. It provides a number of possible performance measures, an analysis of the benchmarking process, and a description ways to implement the measures and benchmarking process.

The Global Nuclear Detection Architecture (GNDA) is described as a worldwide network of sensors, telecommunications, and personnel, with the supporting information exchanges, programs, and protocols that serve to detect, analyze, and report on nuclear and radiological materials that are out of regulatory control. The Domestic Nuclear Detection Office (DNDO), an office within the Department of Homeland Security (DHS), coordinates the development of the GNDA with its federal partners. Performance Metrics for the Global Nuclear Detection Architecture considers how to develop performance measures and quantitative metrics that can be used to evaluate the overall effectiveness and report on progress toward meeting the goals of the GNDA. According to this report, two critical components are needed to evaluate the effectiveness of the GNDA: a new strategic plan with outcome-based metrics and an analysis framework to enable assessment of outcome-based metrics. The GNDA is a complex system of systems meant to deter and detect attempts to unlawfully transport radiological or nuclear material. The recommendations of Performance Metrics for the Performance Metrics for the Global Nuclear Detection Architecture may be used to improve the GNDA strategic plan and the reporting of progress toward meeting its goals during subsequent review cycles.

Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Performance Measurement and Management for Engineers introduces key concepts in finance, accounting, and management to project managers who have engineering backgrounds. It focuses these basic concepts on issues of measuring and managing enterprise value. Thus, after defining enterprise value, the book begins by explaining the ways and means of measurement. It then takes up financial measurement, describing and analyzing the typologies of financial indicators while illustrating their advantages and disadvantages. After focusing on measuring enterprise value, the second section takes up managing that value. Like the first, it pursues a double view: using indicators for internal control while employing them to analyze other companies. If engineering project managers possess a source of quantitative and qualitative information about business management, Performance Measurement and Management for Engineers will help them increase their contributions to the business. - Explains how main performance indicators are related to the value of the company - Reveals how to assess the financial needs of companies in relation to their financial goals and mechanisms (e.g., equity, debt, and hybrid) - Describes key information and indicators for assessing the ability of enterprises to create value across time - Indicates the profitability sources of different business units