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001438186 001__ 1438186
001438186 003__ OCoLC
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001438186 019__ $$a1259673168$$a1266810670$$a1284939366
001438186 020__ $$a9783030729653$$q(electronic bk.)
001438186 020__ $$a3030729656$$q(electronic bk.)
001438186 020__ $$z9783030729646
001438186 0247_ $$a10.1007/978-3-030-72965-3$$2doi
001438186 035__ $$aSP(OCoLC)1260343324
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001438186 049__ $$aISEA
001438186 050_4 $$aHD2769.15
001438186 08204 $$a657/.98$$223
001438186 1001_ $$aMoore, Kenneth,$$eauthor.
001438186 24510 $$aMeasuring productivity in education and not-for-profits :$$bwith tools and examples in R /$$cKenneth Moore.
001438186 260__ $$aCham :$$bSpringer,$$c2021.
001438186 300__ $$a1 online resource (155 pages)
001438186 336__ $$atext$$btxt$$2rdacontent
001438186 337__ $$acomputer$$bc$$2rdamedia
001438186 338__ $$aonline resource$$bcr$$2rdacarrier
001438186 347__ $$atext file
001438186 347__ $$bPDF
001438186 4901_ $$aManagement for Professionals
001438186 500__ $$a5.4.7 Rankings Analysis.
001438186 500__ $$aIncludes index.
001438186 5050_ $$aIntro -- Preface -- Contents -- 1: Introduction -- 1.1 The Value of This Book -- 1.2 Who Is This Book For? -- 1.3 Background and Motivation -- 1.4 Assumptions -- 1.5 Why R? -- 1.6 Terminology and Contextual Considerations -- 1.7 Structure of the Book -- 1.7.1 Chapter Structure -- 1.7.2 Chapter Progression -- 1.8 Getting the Most Out of this Book -- 1.9 Tutorial: A Brief Intro to Some Tidyverse Functions -- 1.9.1 Setup -- 1.9.2 Intro to the "Pipe" -- 1.9.3 Using Filter, Select, Mutate, Group, and Summarise -- 1.9.4 Long and Wide Format -- 1.9.5 Using ggplot2 for Visualization
001438186 5058_ $$a1.9.6 Using Purrr and Map for Iteration -- 1.10 Reflections on the Tidyverse in Practice -- 2: Inputs and Outputs -- 2.1 Objective -- 2.2 What Are Inputs and Outputs? -- 2.3 A Detailed Look at Inputs and Outputs -- 2.3.1 The Input-Output Paradigm -- 2.3.2 Identifying Inputs and Outputs -- 2.4 Tutorial: Organizing Input-Output Data -- 2.4.1 Setup -- 2.4.2 Introduction -- 2.4.3 Clean the Data -- 2.4.4 Input-Output Structure -- 2.4.5 Add in More Data -- 2.4.6 Fashion a Data Set for Specific Analysis -- 2.5 Reflections on Inputs and Outputs in Practice -- 3: The Productivity Ratio
001438186 5058_ $$a3.1 Objective -- 3.2 What Is the Productivity Ratio? -- 3.3 A Detailed Look at the Productivity Ratio -- 3.3.1 Total-Factor, Multi-Factor, and Single-Factor Productivity -- 3.3.2 Selecting Appropriate Indicators for Education -- 3.3.3 Value-Add -- 3.4 Tutorial: Competing Production Functions -- 3.4.1 Setup -- 3.4.2 Introduction -- 3.4.3 Create and Join the New Test Scores Data -- 3.4.4 Operational Efficiency Productivity -- 3.4.5 Reputational Productivity -- 3.4.6 Value-Add Productivity -- 3.4.7 Compile All the Results -- 3.5 Reflections on the Productivity Ratio in Practice
001438186 5058_ $$a4: Productivity Change -- 4.1 Objective -- 4.2 What Is Productivity Change? -- 4.3 A Detailed Look at Measuring Productivity Change -- 4.3.1 Estimation Technique -- 4.3.2 Defining TI -- 4.3.3 NRC Model (Adjusted Load) -- 4.3.4 Adjusting for the Real Value of Money -- 4.4 Tutorial: Measuring University Productivity Change -- 4.4.1 Setup -- 4.4.2 Introduction -- 4.4.3 Get the Raw Data -- 4.4.4 Adjust for RVM and Adjusted Load -- 4.4.5 Calculate Change Indexes -- 4.4.6 Calculate Cumulative Change -- 4.4.7 Further Functionalize Our Code -- 4.4.8 Calculate Data for TI Weights
001438186 5058_ $$a4.4.9 Calculate TIs -- 4.5 Reflections on Productivity Change in Practice -- 5: Productivity Change with Threshold Analysis -- 5.1 Objective -- 5.2 What Is Threshold Analysis? -- 5.3 A Detailed Look at Threshold Analysis for Universities -- 5.3.1 Multiple Outputs -- 5.3.2 Characterizing Production Technology -- 5.3.3 Adjusted Publications -- 5.4 Tutorial: Teaching-Research Nexus or Divide? -- 5.4.1 Setup -- 5.4.2 Introduction -- 5.4.3 Create New Data Set -- 5.4.4 Examine Institutional Change Profiles -- 5.4.5 Calculate Productivity -- 5.4.6 Threshold Analysis
001438186 506__ $$aAccess limited to authorized users.
001438186 520__ $$aThis book takes the reader through real-world examples for how to characterize and measure the productivity and performance of NFPs and education institutions that is, organisations that produce value for society, which cannot be measured accurately in financial KPIs. It focuses on how best to frame non-profit performance and productivity, and provides a suite of tools for measurement and benchmarking. It further challenges the reader to consider alternative and appropriate uses of quantitative measures, which are fit-for-purpose in individual contexts. It is true that the risk of misusing quantitative measures is ever-present. But does that risk outweigh the benefits of forming a more precise and shared understanding of what could generate better outcomes? There will always be concerns about policy and performance management. Goodheart's Law states that once a measure becomes a target, it is no longer a good measure. This book helps to strike a meaningful balance between what can be measured, what cannot, and how best to use quantitative information in sectors that are often averse to being held up to the light and put on a scale by outsiders.
001438186 650_0 $$aNonprofit organizations$$xCapital productivity$$xData processing.
001438186 650_0 $$aR (Computer program language)
001438186 650_6 $$aAssociations sans but lucratif$$xProductivité du capital$$xInformatique.
001438186 650_6 $$aR (Langage de programmation)
001438186 655_0 $$aElectronic books.
001438186 77608 $$iPrint version:$$aMoore, Kenneth.$$tMeasuring Productivity in Education and Not-For-Profits.$$dCham : Springer International Publishing AG, ©2021$$z9783030729646
001438186 830_0 $$aManagement for professionals.
001438186 852__ $$bebk
001438186 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-72965-3$$zOnline Access$$91397441.1
001438186 909CO $$ooai:library.usi.edu:1438186$$pGLOBAL_SET
001438186 980__ $$aBIB
001438186 980__ $$aEBOOK
001438186 982__ $$aEbook
001438186 983__ $$aOnline
001438186 994__ $$a92$$bISE