The PRISM Composite Score Model is a practical framework for turning data into decisions. It unifies rigorous data management with Results-Based Management (RBM) to identify, weigh, and prioritize indicators for planning, monitoring, and adaptive policy. Using clear quality criteria—sensitivity, specificity, reliability, validity, simplicity, utility, and affordability—it converts expert judgment into transparent composite scores, benchmarks them against standards, and uses group consensus to validate results. PRISM strengthens causal links from inputs and activities to outputs, outcomes, and objectives, cutting duplication and focusing resources where they matter most. Sound data practices—accurate entry, consistent definitions, documented baselines and targets, audit trails, and open reporting—keep scoring consistent and adjustments timely across sectors. The manual is organized for action: Chapter 1 introduces indicators; Chapters 2–5 show how to build and apply the model; Chapter 6 supports training; Chapter 7 examines ethics; Chapter 8 looks ahead to data-driven governance; Chapters 9–10 integrate data and RBM. Case studies and exercises turn concepts into skills.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Paperback. Condición: new. Paperback. The PRISM Composite Score Model is a practical framework for turning data into decisions. It unifies rigorous data management with Results-Based Management (RBM) to identify, weigh, and prioritize indicators for planning, monitoring, and adaptive policy. Using clear quality criteria-sensitivity, specificity, reliability, validity, simplicity, utility, and affordability-it converts expert judgment into transparent composite scores, benchmarks them against standards, and uses group consensus to validate results. PRISM strengthens causal links from inputs and activities to outputs, outcomes, and objectives, cutting duplication and focusing resources where they matter most. Sound data practices-accurate entry, consistent definitions, documented baselines and targets, audit trails, and open reporting-keep scoring consistent and adjustments timely across sectors. The manual is organized for action: Chapter 1 introduces indicators; Chapters 2-5 show how to build and apply the model; Chapter 6 supports training; Chapter 7 examines ethics; Chapter 8 looks ahead to data-driven governance; Chapters 9-10 integrate data and RBM. Case studies and exercises turn concepts into skills. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9798899662355
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798899662355
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Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9798899662355
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. The PRISM Composite Score Model is a practical framework for turning data into decisions. It unifies rigorous data management with Results-Based Management (RBM) to identify, weigh, and prioritize indicators for planning, monitoring, and adaptive policy. Using clear quality criteria-sensitivity, specificity, reliability, validity, simplicity, utility, and affordability-it converts expert judgment into transparent composite scores, benchmarks them against standards, and uses group consensus to validate results. PRISM strengthens causal links from inputs and activities to outputs, outcomes, and objectives, cutting duplication and focusing resources where they matter most. Sound data practices-accurate entry, consistent definitions, documented baselines and targets, audit trails, and open reporting-keep scoring consistent and adjustments timely across sectors. The manual is organized for action: Chapter 1 introduces indicators; Chapters 2-5 show how to build and apply the model; Chapter 6 supports training; Chapter 7 examines ethics; Chapter 8 looks ahead to data-driven governance; Chapters 9-10 integrate data and RBM. Case studies and exercises turn concepts into skills. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798899662355
Cantidad disponible: 1 disponibles