@Book{1670788768,
author="Schryvers, Peter",
title="Bad data: why we measure the wrong things and often miss the metrics that matter",
year="2020",
publisher="Prometheus Books",
address="Guilford, Connecticut",
keywords="Quantitative research; Evaluation; Performance; Measurement; Auff{\"u}hrung; Big Data; Datenqualit{\"a}t; Datenverarbeitung; Effizienz; Entscheidungstheorie; Erfolgskontrolle; F{\"a}higkeit; Informationstheorie; Kybernetik; Operations Research",
abstract="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.",
note="Peter Schryvers",
note="Includes index",
isbn="9781633885905",
language="English"
}