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Routledge International Handbook of Advanced Quantitative Methods in Nursing Research

Edited by Susan J. Henly

Routledge – 2015 – 464 pages

Purchasing Options:

  • Hardback: $205.00
    978-0-415-52180-2
    February 15th 2015
    Not yet available

Description

Designed to support global development of nursing science, the Routledge International Handbook of Quantitative Nursing Research provides a new, comprehensive, and authoritative treatment of advanced quantitative methods for nursing research.

Incorporating past approaches that have served as the foundation for the science, this cutting edge book also explores emerging approaches that will shape its future. Divided into seven parts, it covers:

  • the central concerns and boundaries of the discipline
  • the essentials of measurement theory and data collection techniques
  • prediction and explanation models for research
  • quasi-experimental and experimental research methods
  • fundamentals in the development of practice-based knowledge using analytics from the fast-developing perspective of e-science
  • looks at the application of findings, including meta-analysis, cost effectiveness, and implementation science
  • addressing issues for the future of nursing science methods, such as mixed methods and quality and safety research.

Covering new and developing areas, such as item response theory; growth modeling; hierarchical models; event analysis; and informatics analytics, this is the ideal reference for all nurse researchers, whether they are graduate students, academics or working in clinical practice.

Contents

Part 1: The Domain of Nursing Science 1. The Domain of Nursing Science 2. Theory in Quantitative Nursing Research 3. Causality: Perspectives for Nursing Science Part 2: Measurement 4. Classical Test Theory and Factor Analysis 5. Physical Examination Data 6. Item Response Theory and Patient-reported Outcomes 7. Differential Item Functioning (DIF) and Cross-cultural Self-reported Health 8. Quantification of Bio-physical and Bio-chemical Variables 9. Behavioral Observation 10. Health-Illness Events Part 3: Prediction and Explanation 11. Multiple Regression and Structural Equation Models 12. Mediation and Moderation Hypotheses 13. Hierarchical Models 14. Modeling Change 15. Intensive Longitudinal Data Part 4: Quasi-Experimental and Experimental Research 16. Nursing Interventions 17. Quasi-experimental Designs 18. Randomized Clinical Trials 19. Survival Analysis Part 5: e-Science Methods 20. Data-Information-Knowledge-Wisdom (DIKW) 21. Data Visualization and Analytics 22. Analysis of Genomics and Proteomics Data 23. Imaging Part 6: Application of Findings 24. Meta-Analysis 25. Cost Effectiveness 26. Implementation Science Part 7: Special Topics 27. Data 28. Pilot Studies 29. Mixed Methods 30. Quality and Safety Research in Nursing Practice 31. International Dissemination of Nursing Science 32. Education for Nursing Science Methods

Author Bio

Susan J. Henly is Professor in the School of Nursing, University of Minnesota, USA. She is an Associate Editor for Nursing Research.

Name: Routledge International Handbook of Advanced Quantitative Methods in Nursing Research (Hardback)Routledge 
Description: Edited by Susan J. Henly. Designed to support global development of nursing science, the Routledge International Handbook of Quantitative Nursing Research provides a new, comprehensive, and authoritative treatment of advanced quantitative methods for nursing research...
Categories: Nursing Research, Quantitative Methods, Research methods, Technologies of Research