Bad data : why we measure the wrong things and often miss the metrics that matter / Peter Schryvers.  (Text) (Text)

Schryvers, Peter, 1983-
Call no.: QA76.9.Q36 S37 2020Publication: Guilford, Connecticut : Prometheus Books, c2020Description: xxiii, 323 pISBN: 9781633885905 (hardcover); 1633885909 (hardcover)Subject(s): Quantitative research -- EvaluationPerformance -- MeasurementLOC classification: QA76.9.Q36 | S37 2020
Contents:Introduction -- Teaching to the test: Goodhart's Law and the paradox of metrics -- The ins and outs: the logic model and program evaluation -- The long and short of it: intertemporal problems and undervaluing time -- The problem of per: denominator errors -- The forest and the trees: simplifying complex systems -- Apples and oranges: ignoring differing qualities -- Not everything that can be counted counts: the lamppost problem -- Not everything that counts can be counted: measuring what matters -- The measure of metrics -- Gateways not yardsticks.
Summary: "Big data is often touted as the key to understanding almost every aspect of contemporary life. This critique of "information hubris" shows that even more important than data is finding the right metrics to evaluate it. The author, an expert in environmental design and city planning, examines the many ways in which we measure ourselves and our world. He dissects the metrics we apply to health, worker productivity, our children's education, the quality of our environment, the effectiveness of leaders, the dynamics of the economy, and the overall well-being of the planet. Among the areas where the wrong metrics have led to poor outcomes, he cites the fee-for-service model of health care, corporate cultures that emphasize time spent on the job while overlooking key productivity measures, overreliance on standardized testing in education to the detriment of authentic learning, and a blinkered focus on carbon emissions, which underestimates the impact of industrial damage to our natural world. He also examines various communities and systems that have achieved better outcomes by adjusting the ways in which they measure data. The best results are attained by those that have learned not only what to measure and how to measure it, but what it all means. By highlighting the pitfalls inherent in data analysis, this illuminating book reminds us that not everything that can be counted really counts."--
แสดงรายการนี้ใน: TUBA-NewBook-2020-07-01(Foreign)
แท็ก: ไม่มีแท็กจากห้องสมุดสำหรับชื่อเรื่องนี้ เข้าสู่ระบบเพื่อเพิ่มแท็ก
    Average rating: 0.0 (0 votes)
ประเภททรัพยากร ตำแหน่งปัจจุบัน กลุ่มข้อมูล ตำแหน่งชั้นหนังสือ เลขเรียกหนังสือ สถานะ วันกำหนดส่ง บาร์โค้ด การจองรายการ
Book Book Professor Sangvian Indaravijaya Library
General Books General Stacks QA76.9.Q36 S37 2020 (เรียกดูชั้นหนังสือ) ยืมออก 31/01/2021 31379008337579
รายการจองทั้งหมด: 0

Includes bibliographical references and index.

Introduction -- Teaching to the test: Goodhart's Law and the paradox of metrics -- The ins and outs: the logic model and program evaluation -- The long and short of it: intertemporal problems and undervaluing time -- The problem of per: denominator errors -- The forest and the trees: simplifying complex systems -- Apples and oranges: ignoring differing qualities -- Not everything that can be counted counts: the lamppost problem -- Not everything that counts can be counted: measuring what matters -- The measure of metrics -- Gateways not yardsticks.

"Big data is often touted as the key to understanding almost every aspect of contemporary life. This critique of "information hubris" shows that even more important than data is finding the right metrics to evaluate it. The author, an expert in environmental design and city planning, examines the many ways in which we measure ourselves and our world. He dissects the metrics we apply to health, worker productivity, our children's education, the quality of our environment, the effectiveness of leaders, the dynamics of the economy, and the overall well-being of the planet. Among the areas where the wrong metrics have led to poor outcomes, he cites the fee-for-service model of health care, corporate cultures that emphasize time spent on the job while overlooking key productivity measures, overreliance on standardized testing in education to the detriment of authentic learning, and a blinkered focus on carbon emissions, which underestimates the impact of industrial damage to our natural world. He also examines various communities and systems that have achieved better outcomes by adjusting the ways in which they measure data. The best results are attained by those that have learned not only what to measure and how to measure it, but what it all means. By highlighting the pitfalls inherent in data analysis, this illuminating book reminds us that not everything that can be counted really counts."--

There are no comments on this title.

เพื่อโพสต์ความคิดเห็น

คลิกที่รูปภาพเพื่อดูในตัวแสดงภาพ

ห้องสมุด:

Thammasat University Library, 2 Prachan Road, Phranakorn, Bangkok 10200

Puey Ungphakorn Library (Rangsit Campus), Circulation Desk 662 564-4444 ext. 1305

Pridi Banomyong Library, Circulation Desk 662 613-3544