000			03022cam a2200325Ii 4500
001			on1135487564
003			OCoLC
005			20200206094107.0
008			200110s2020 ctu b 001 0 eng
010			_a 2019012234
040			_aDLC _beng _erda _cPNX _dPNX _dOCLCO _dSDG _dNFG
020			_a9781633885905 (hardcover)
020			_a1633885909 (hardcover)
035			_a(OCoLC)1135487564
092			_a001.42 _bS382
049			_aNFGA
100	1		_aSchryvers, Peter, _d1983- _eauthor.
245	1	0	_aBad data : _bwhy we measure the wrong things and often miss the metrics that matter / _cPeter Schryvers.
264		1	_aGuilford, Connecticut : _bPrometheus Books, _c[2020]
300			_axxiii, 323 pages ; _c24 cm
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references (pages 297-314) and index.
505	0		_aIntroduction -- 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.
520			_aBig 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, over reliance 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.
650		0	_aQuantitative research _xEvaluation.
650		0	_aPerformance _xMeasurement.
994			_aC0 _bNFG
999			_c306257 _d306257