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|a 9780880996754
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|z 0880996749
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|z 9780880996747
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|z 0880996757
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|a (OCoLC)1145079561
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|a MdBmJHUP
|c MdBmJHUP
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|a Hawley, Joshua D.,
|e author.
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|a Data Science in the Public Interest :
|b Improving Government Performance in the Workforce /
|c Joshua D. Hawley.
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|a Kalamazoo, Michigan :
|b W.E. Upjohn Institute for Employment Research,
|c 2020.
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|a Baltimore, Md. :
|b Project MUSE,
|c 2020
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|c ©2020.
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|a 1 online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a Intro -- Title page -- Copyright page -- Contents -- List of Abbreviations -- Preface -- Acknowledgments -- 1 -- Workforce Data and Government -- 2 -- What Is the Role of Government in the Workforce? -- 3 -- Evidence-Based Decision Making -- 4 -- What Works in Performance Measurement: Improving the Use of Data in State and Local Workforce Systems -- Appendix 4A: Legal Regulations That Inform Data Sharing -- Appendix 4B: Governance Suggestions -- 5 -- Performance Management for Workforce Development -- 6 -- Improving Engagement and Methods to Strengthen Data Use -- References -- Author -- Index
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|a "This book is about how new and underutilized types of big data sources can inform public policy decisions related to workforce development. Hawley describes how government is currently using data to inform decisions about the workforce at the state and local levels. He then moves beyond standardized performance metrics designed to serve federal agency requirements and discusses how government can improve data gathering and analysis to provide better, up-to-date information for government decision making"--
|c Provided by publisher.
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|a Description based on print version record.
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650 |
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7 |
|a Manpower policy.
|2 fast
|0 (OCoLC)fst01007897
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650 |
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7 |
|a Labor supply
|x Statistical methods.
|2 fast
|0 (OCoLC)fst00990226
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650 |
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7 |
|a Labor policy.
|2 fast
|0 (OCoLC)fst00990116
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650 |
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7 |
|a Labor market
|x Statistical methods.
|2 fast
|0 (OCoLC)fst00990060
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650 |
|
7 |
|a Big data.
|2 fast
|0 (OCoLC)fst01892965
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650 |
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7 |
|a POLITICAL SCIENCE / Public Policy / Economic Policy
|2 bisacsh
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650 |
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|a Donnees volumineuses.
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650 |
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6 |
|a Marche du travail
|z États-Unis
|x Methodes statistiques.
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650 |
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|a Travail
|x Politique gouvernementale
|z États-Unis.
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650 |
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|a Big data.
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650 |
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0 |
|a Labor market
|z United States
|x Statistical methods.
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650 |
|
0 |
|a Labor supply
|z United States
|x Statistical methods.
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650 |
|
0 |
|a Labor policy
|z United States.
|
650 |
|
0 |
|a Manpower policy
|z United States.
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651 |
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7 |
|a United States.
|2 fast
|0 (OCoLC)fst01204155
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655 |
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|a Electronic books.
|2 local
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|a Project Muse.
|e distributor
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|a Book collections on Project MUSE.
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|z Texto completo
|u https://projectmuse.uam.elogim.com/book/77093/
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945 |
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|a Project MUSE - Custom Collection
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945 |
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|a Project MUSE - 2020 Complete
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945 |
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|a Project MUSE - 2020 Political Science and Policy Studies
|