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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.
This book concerns measuring reading skills. It is not meant to be a compre hensive survey of reading research or a review of all possible approaches to reading measurement (although considerable attention is given to both subjects). Instead, the purpose of this book is to present a coherent, theoretically based approach to measuring reading competence. The ability to measure a phenomenon is an important prerequisite for scientific analysis. As Lord Kelvin said, "One's knowledge of science begins when he can measure what he is speaking about and express it in numbers." Unfortunately, not just any numbers will do. Presently available reading tests provide their users with a plethora of numbers-age levels, percentiles, grade equivalents-but their scientific value is questionable. The problem is that there is more to scientific measurement than merely assigning numbers to arbitrarily chosen behaviors. Scientific measurement occurs only within the confines of a theory, and most reading tests are atheoretical. Recent years have witnessed an explosive growth in reading research.
In recent decades, the science of reading acquisition has been advancing through interdisciplinary research in cognitive, psycholinguistic, developmental, genetic, neuroscience, cross-language, and experimental comparison studies of effective instruction. Some of the science of reading has emerged from the theory and research into the realm of practice and policy. Yet the science and practice of measuring “reading comprehension” has remained relatively immune to much of this foundational knowledge. Measuring Up questions the traditional format of reading comprehension tests, typically a single series of questions asked about a series of passages, and offers ideas and innovations we might expect in a next generation of 21st century reading assessments. Sabatini, Albro, and O'Reilly believe that in light of the move towards Common Core State Standards and assessments, as well as significant national investments in reading and literacy education, it is a critical and opportune time to bring together the research and measurement community to address fundamental issues of measuring reading comprehension, both in theory and in practice.
Accessibly written and featuring illustrative case examples, this book provides a complete guide to curriculum-based assessment for instructional design (CBA-ID). CBA-ID comprises easy-to-implement, reliable, and valid procedures for determining a student's instructional level and individualizing instruction by developing tasks that are neither too hard nor too easy. It is a key tool for supporting K-8 students who are struggling in reading, math, or writing, and is ideally suited for intervention planning within multi-tiered systems of support. In a convenient large-size format, the book includes reproducible forms. Purchasers also get access to a Web page where they can download and print the reproducible materials. This book is in The Guilford Practical Intervention in the Schools Series, edited by Sandra M. Chafouleas.
This is the digital version of the printed book (Copyright © 1996). Based on an award-winning doctoral thesis at Carnegie Mellon University, Measuring and Managing Performance in Organizations presents a captivating analysis of the perils of performance measurement systems. In the book’s foreword, Peopleware authors Tom DeMarco and Timothy Lister rave, “We believe this is a book that needs to be on the desk of just about anyone who manages anything.” Because people often react with unanticipated sophistication when they are being measured, measurement-based management systems can become dysfunctional, interfering with achievement of intended results. Fortunately, as the author shows, measurement dysfunction follows a pattern that can be identified and avoided. The author’s findings are bolstered by interviews with eight recognized experts in the use of measurement to manage computer software development: David N. Card, of Software Productivity Solutions; Tom DeMarco, of the Atlantic Systems Guild; Capers Jones, of Software Productivity Research; John Musa, of AT&T Bell Laboratories; Daniel J. Paulish, of Siemens Corporate Research; Lawrence H. Putnam, of Quantitative Software Management; E. O. Tilford, Sr., of Fissure; plus the anonymous Expert X. A practical model for analyzing measurement projects solidifies the text–don’t start without it!
A collection of formal and informal English and Spanish reading assessments for students in grades K-12. Includes assessment instructions, assessments and teacher scoring forms.
Performance Measurement is the first in a new series of an ongoing effort by the Institute of Medicine (IOM) to improve health care quality. Performance Measurement offers a comprehensive review of available measures and introduces a new framework to examine these measures against the six aims of the health care system: health care should be safe, effective, patient-centered, timely, efficient, and equitable. This new book also addresses the gaps in performance measurement and introduces the need for measures that are longitudinal, comprehensive, population-based, and patient-centered. This book is directed toward all concerned with improving the quality and performance of the nation's health care system in its multiple dimensions and in both the public and private sectors.
This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.
Patient-reported outcomes (PROs) are measures of how patients feel or what they are able to do in the context of their health status; PROs are reports, usually on questionnaires, about a patient's health conditions, health behaviors, or experiences with health care that individuals report directly, without modification of responses by clinicians or others; thus, they directly reflect the voice of the patient. PROs cover domains such as physical health, mental and emotional health, functioning, symptoms and symptom burden, and health behaviors. They are relevant for many activities: helping patients and their clinicians make informed decisions about health care, monitoring the progress of care, setting policies for coverage and reimbursement of health services, improving the quality of health care services, and tracking or reporting on the performance of health care delivery organizations. We address the major methodological issues related to choosing, administering, and using PROs for these purposes, particularly in clinical practice settings. We include a framework for best practices in selecting PROs, focusing on choosing appropriate methods and modes for administering PRO measures to accommodate patients with diverse linguistic, cultural, educational, and functional skills, understanding measures developed through both classic and modern test theory, and addressing complex issues relating to scoring and analyzing PRO data.