| Autore |
Moore Kenneth
|
| Pubbl/distr/stampa |
Cham, Switzerland : , : Springer, , [2021]
|
| Descrizione fisica |
1 online resource (155 pages)
|
| Disciplina |
338.74
|
| Collana |
Management for Professionals
|
| Soggetto topico |
Nonprofit organizations - Economic aspects
R (Computer program language)
|
| ISBN |
3-030-72965-6
|
| Formato |
Materiale a stampa  |
| Livello bibliografico |
Monografia |
| Lingua di pubblicazione |
eng
|
| Nota di contenuto |
Intro -- 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 -- 1.9.6 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 -- 3.1 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 -- 4: 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 -- 4.4.9 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 -- 5.4.7 Rankings Analysis -- 5.5 Reflections on Threshold Analysis in Practice -- 6: Frontier Analysis with DEA -- 6.1 Objective -- 6.2 What Is Frontier Analysis? -- 6.3 A Detailed Look at Frontier Analysis with DEA -- 6.3.1 A Not-for-Profit Example -- 6.3.2 DEA Objective -- 6.3.3 DEA Algorithm Walk-Through -- 6.4 Tutorial: Which NFP Is the Top Performer? -- 6.4.1 Setup -- 6.4.2 Introduction -- 6.4.3 Create New Data Set -- 6.4.4 Define a Linear Program for Org A -- 6.4.5 Create a Linear Program to Iterate for DEA -- 6.5 Reflections on DEA in Practice -- 7: Values Analysis with DEA -- 7.1 Objective -- 7.2 What Is Values Analysis with DEA? -- 7.3 A Detailed Look at Values Analysis with DEA -- 7.3.1 The Procedure.
7.4 Tutorial: DEA Values Analysis for Decision-Making -- 7.4.1 Setup -- 7.4.2 Introduction -- 7.4.3 Prepare the Data for Values Analysis -- 7.4.4 Production Function Analysis -- 7.4.5 Values Analysis for Examining the Production Frontier -- 7.4.6 Visualize the Frontiers -- 7.4.7 What Happens When No DEA Scheme Represents Our Values? -- 7.5 Reflections on DEA Values Analysis in Practice -- 8: Threshold Analysis for Absolute Productivity -- 8.1 Objective -- 8.2 What Is Absolute Productivity Threshold Analysis? -- 8.3 A Detailed Look at Absolute Productivity Threshold Analysis -- 8.3.1 Overview of the Procedure -- 8.3.2 Estimating Absolute Productivity -- 8.4 Tutorial: Teaching Research Nexus? -- 8.4.1 Setup -- 8.4.2 Introduction -- 8.4.3 Feature Scaling All Data Elements -- 8.4.4 Find Absolute Productivity for the Base Year -- 8.4.5 Threshold Analysis -- 8.4.6 Plot the Data -- 8.4.7 Rankings Analysis -- 8.5 Reflections on Absolute Productivity Threshold Analysis in Practice -- 9: Hypothesis Testing -- 9.1 Objective -- 9.2 What Is Hypothesis Testing with Productivity Data? -- 9.3 A Detailed Look at Hypothesis Testing for Productivity Change -- 9.3.1 Initial Caveat -- 9.3.2 Model Fitting with GLS -- 9.4 Tutorial: Hypothesis Testing Using Generalized Least Squares -- 9.4.1 Setup -- 9.4.2 Introduction -- 9.4.3 Test Two Sets of Fitted Data -- 9.4.4 Add Longitudinal Data -- 9.4.5 Did Our Intervention Make a Difference? -- 9.5 Reflections on Hypothesis Testing in Practice -- Index.
|
| Record Nr. | UNINA-9910490023703321 |
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