
Routledge International Handbook of Advanced Quantitative Methods in Nursing Research
- 464 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Routledge International Handbook of Advanced Quantitative Methods in Nursing Research
About this book
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
- measurementâclassical test theory, IRT, clinimetrics, behavioral observation, biophysical measurement
-models for prediction and explanationâSEM, general growth mixture models, hierarchical models, analysis of dynamic systems
-intervention researchâtheory-based interventions, causality, third variables, pilot studies, quasi-experimental design, joint models for longitudinal data and time to event
-e-scienceâDIKW paradigm, big data, data mining, omics, FMRI
-special topicsâcomparative 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.
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Information
1 The Domain of Nursing Science
Areas of focus
Guiding initiatives
| Areas of Focus | Populations | Methods |
|---|---|---|
|
Table of contents
- Cover Page
- Half Title Page
- Title Page
- Copyright Page
- Dedication
- Contents
- List of figures
- List of tables
- Contributors
- Acknowledgements
- Foreword
- Preface
- PART I The domain of nursing science
- 1 The Domain of Nursing Science
- 2 Theorizing in Nursing Science
- PART II 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 Measurement
- PART III Prediction and explanation
- 8 Structural Equation Modeling
- 9 General Growth Mixture Models
- 10 Multilevel Models
- 11 Analysis of Dynamical Systems The modeling of change and variability
- PART IV 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 V 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 the Sources of Noise in fMRI
- PART VI 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
- Index