Routledge International Handbook of Advanced Quantitative Methods in Nursing Research

ISBN-13: 9780415521802 / Angielski / Twarda / 2015 / 464 str.

Susan J. Henly

Opis

Designed to support global development of nursing science, the Routledge International Handbook of Advanced Quantitative Methods in 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 six parts, it covers:

-the domain of nursing science

- measurement classical test theory, IRT, clinimetrics, behavioral observation, biophysical measurement

-models for prediction and explanation SEM, general growth mixture models, hierarchical models, analysis of dynamic systems

-intervention research theory-based interventions, causality, third variables, pilot studies, quasi-experimental design, joint models for longitudinal data and time to event

-e-science DIKW paradigm, big data, data mining, omics, FMRI

-special topics comparative effectiveness and meta-analysis, patient safety, economics research in nursing, mixed methods, global research dissemination

Written by a distinguished group of international nursing scientists, scientists from related fields, and methodologists, the "Handbook" is the ideal reference for everyone involved in nursing science, whether they are graduate students, academics, editors and reviewers, or clinical investigators."

Spis treści

Part 1: The Domain of Nursing Science  1. The Domain of Nursing Science  2. Theorising in Nursing Science  Part 2: Measurement  3. Classical Test Theory  4. Clinimetrics  5. Item Response Theory: A Statistical Theory of Measurement Based on Fungible Items  6. Behavioral Observation  7. Biophysical Observation  Part 3: Prediction and Explanation  8. Structural Equation Modeling  9. General Growth Mixture Models  10. Multilevel Models  11. Analysis of Dynamic Systems: The Modeling of Change and Variability  Part 4: Experimental and Quasi-experimental Design  12. Theory-based Nursing Interventions  13. Pilot Studies for Randomized Clinical Trials  14. Causality in Experiments and Observational Studies  15. Quasi-experimental Design in Nursing Research  16. Third Variables: Scientific Meanings and Modeling in Non-randomized Studies  17. Joint Models for Longitudinal Data and Time-to-event Occurrence  Part 5: E-science Methods  18. Data, Information, Knowledge, Wisdom  19. Big Data in Nursing Research  20. Data Mining and Data Visualization  21. Genomic, Transcriptomic, Epigenomic, and Proteomic Approaches  22. A Survey of Sources of Noise in FMRI  Part 6: Applications and Special Topics  23. Comparative Effectiveness Research and Meta-analysis  24. Patient Safety Research: Methodological Challenges  25. Economic Evaluations for Nursing Research  26. Mixed Methods  27. Global Generation and Dissemination of Nursing Science