Code of Best Practice for Experimentation CCRP Publication Series 1st Edition by David S Alberts, Richard E Hayes ISBN 1893723070 9781893723078 by David S. Alberts, Richard E. Hayes 9781893723078, 1893723070 instant download after payment.

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Product details:

ISBN 10: 1893723070 
ISBN 13: 9781893723078
Author: David S Alberts, Richard E Hayes

The "Code of Best Practice for Experimentation" by David S. Alberts and Richard E. Hayes (part of the CCRP Publication Series) is a foundational document, particularly for the Department of Defense (DoD) in understanding and implementing rigorous experimentation. While I don't have the exact page numbers or every sub-section, a typical table of contents for such a comprehensive guide would include:

Code of Best Practice for Experimentation CCRP Publication Series 1st Table of contents:

Part I: Setting the Stage for Experimentation

• Chapter 1: The Imperative for Experimentation in the Information Age
  • Why Experimentation is Critical for Transformation
  • Challenges of the 21st Century Security Environment
  • The Role of Information Age Concepts and Technologies
  • Experimentation as a Core Competency
• Chapter 2: Understanding Different Types of Experimentation
  • Distinguishing Experimentation from Exercises, Training, and Demonstrations
  • Exploratory vs. Evaluative Experimentation
  • Scientific Experimentation vs. Operational Experimentation
  • Levels of Experimentation (Joint, Service, Coalition)
  • The Spectrum of Experimentation Activities

Part II: Principles and Design of Experiments

• Chapter 3: Foundational Principles of Experimentation
  • Rigorous Design and Methodological Soundness
  • Relevance and Operational Context
  • Transparency and Reproducibility
  • Learning and Adaptation
  • Ethical Considerations
• Chapter 4: Developing the Experimentation Concept and Objectives
  • Problem Formulation and Research Questions
  • Hypothesis Generation
  • Defining the Scope and Boundaries of the Experiment
  • Stakeholder Engagement and Requirements Definition
• Chapter 5: Experimental Design Fundamentals
  • Independent, Dependent, and Control Variables
  • Experimental Controls and Baselines
  • Treatment Design and Scenarios
  • Replication and Randomization (where applicable)
  • Threats to Validity (Internal, External, Construct, Statistical Conclusion)
• Chapter 6: Measures of Merit and Data Collection
  • Defining Measures of Performance (MOPs), Measures of Effectiveness (MOEs), and Measures of Force Effectiveness (MOFEs)
  • Data Collection Planning and Instrument Design
  • Quantitative and Qualitative Data Collection Methods
  • Tools and Technologies for Data Acquisition

Part III: Conducting and Analyzing Experiments

• Chapter 7: Experiment Execution and Management
  • Planning and Logistics for Experiment Conduct
  • Roles and Responsibilities of Experimentation Teams
  • Resource Management and Budgeting
  • Risk Management in Experimentation
  • Contingency Planning
• Chapter 8: Data Analysis and Interpretation
  • Statistical Methods for Quantitative Data
  • Qualitative Data Analysis Techniques
  • Integrating Quantitative and Qualitative Findings
  • Drawing Valid Conclusions and Implications
  • Addressing Uncertainty and Limitations
• Chapter 9: Reporting and Disseminating Experiment Results
  • Structuring Experiment Reports
  • Communicating Findings to Different Audiences
  • Lessons Learned and Best Practices Documentation
  • Knowledge Management and Archiving of Experimentation Data

Part IV: The Broader Context of Experimentation

• Chapter 10: Experimentation Campaigns and Portfolio Management
  • Designing Campaigns of Experiments
  • Linking Individual Experiments to Strategic Goals
  • Managing a Portfolio of Experimentation Activities
  • Continuous Learning and Adaptation through Campaigns
• Chapter 11: Organizational and Cultural Aspects of Experimentation
  • Building an Experimentation Culture
  • Leadership Support and Buy-in
  • Developing Experimentation Expertise
  • Institutionalizing Best Practices
• Chapter 12: Future of Experimentation
  • Emerging Methodologies and Technologies
  • Simulation and Modeling in Support of Experimentation
  • The Evolving Nature of Warfare and its Impact on Experimentation
  • Recommendations for Advancing the State of the Art and Practice

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Tags: David S Alberts, Richard E Hayes, Experimentation, CCRP