Management and Leadership for Nurse Administrators
Author: Linda Roussel
The field of health care is increasingly affected by management changes such as organizational downsizing and restructuring, a rise in the temporary workforce, pay-for-performance, and the implementation of total quality management programs. Management and Leadership for Nurse Administrators, Fourth Edition will keep nurses and nursing students abreast of these changes-an essential aspect of their career development. Organized around the four key management functions of Planning, Organization, Leadership, and Evaluation, the revised text includes new chapters on total quality management, the theory of human resource development, and collective bargaining. Additionally, new content includes recommendations from the Institute of Medicine (Crossing the Quality Chasm, Educating Healthcare Professionals) as well as content on the Magnet Appraisal process and ethics for the nursing manager. Designed to provide a substantial management and administrative foundation for nurse m anagers, Management and Leadership for Nurse Administrators, Fourth Edition explores the appropriate concepts, theories, and practical knowledge that will enable them to succeed and excel in today's changing healthcare environment.
Table of Contents:
Pt. I Leading in Times of Complexity and Rapid Cycle Change 1
Ch. 1 Trends Shaping Nursing Leadership: Implications for Education and Practice 2
Ch. 2 Concepts and Theories Guiding Professional Practice 18
Ch. 3 Emotionally Intelligent Leadership in Nursing and Healthcare Organizations 50
Ch. 4 Ethical Nurse Leadership 74
Ch. 5 Change, Complexity, and Creativity 102
Ch. 6 Collaborative Decision Making and Communication: Skills and Practices 136
Pt. II Leading the Business of Health Care: Processes and Principles 183
Ch. 7 Organizational Structure and Analysis 184
Ch. 8 Human Resource Development: Recruitment, Retention, and Managing Conflict 260
Ch. 9 Strategic Planning and Management 288
Ch. 10 Staffing and Scheduling 334
Ch. 11 Budgeting Principles for Nurse Managers 368
Ch. 12 Managing the Process of Care Delivery 406
Ch. 13 Information Management and Technology 428
Pt. III Leading to Improve the Future Quality and Safety of Healthcare Delivery Systems 453
Ch. 14 Health Policy, Laws, and Regulatory Issues 454
Ch. 15 Risk Management and Legal Issues 470
Ch. 16 Tools for Evaluating Operations and Care Delivery Systems 494
Ch. 17 Quality Management 522
Ch. 18 Performance Appraisal 548
Ch. 19 The Professional Nursing Staff Educator 592
Ch. 20 Building a Portfolio for Academic and Clinical Partnership 608
Ch. 21 Transformational Leadership and Evidence-Based Management in a Changing World 618
Ch. 22 Creating a Culture of Magnetism 642
Ch. 23 Managing a Culturally Diverse Workforce 664
Index 681
Interesting book: Coaching for Emotional Intelligence or Government and Not for Profit Accounting
Evidence-Based Technical Analysis: Applying the Scientific Method and Statistical Inference to Trading Signals
Author: David R Aronson
Evidence-Based Technical Analysis examines how you can apply the scientific method, and recently developed statistical tests, to determine the true effectiveness of technical trading signals. Throughout the book, expert David Aronson provides you with comprehensive coverage of this new methodology, which is specifically designed for evaluating the performance of rules/signals that are discovered by data mining.
Table of Contents:
Acknowledgments.About the Author.
Introduction.
PART I Methodological, Psychological, Philosophical, and Statistical Foundations.
CHAPTER 1 Objective Rules and Their Evaluation.
CHAPTER 2 The Illusory Validity of Subjective Technical Analysis.
CHAPTER 3 The Scientific Method and Technical Analysis.
CHAPTER 4 Statistical Analysis.
CHAPTER 5 Hypothesis Tests and Confidence Intervals.
CHAPTER 6 Data-Mining Bias: The Fool’s Gold of Objective TA.
CHAPTER 7 Theories of Nonrandom Price Motion.
PART II Case Study: Signal Rules for the S&P 500 Index.
CHAPTER 8 Case Study of Rule Data Mining for the S&P 500.
CHAPTER 9 Case Study Results and the Future of TA.
APPENDIX Proof That Detrending Is Equivalent to Benchmarking Based on Position Bias.
Notes.
Index.
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