%0 Book
%T Bad data: why we measure the wrong things and often miss the metrics that matter
%A Schryvers, Peter
%D 2020
%I Prometheus Books
%C Guilford, Connecticut
%@ 9781633885905
%G English
%F 1670788768
%O Peter Schryvers
%O Includes index
%X 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.
%L 001.4/2
%K Quantitative research
%K Evaluation
%K Performance
%K Measurement
%K Aufführung
%K Big Data
%K Datenqualität
%K Datenverarbeitung
%K Effizienz
%K Entscheidungstheorie
%K Erfolgskontrolle
%K Fähigkeit
%K Informationstheorie
%K Kybernetik
%K Operations Research
%9 Text