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Routledge International Handbook of Advanced Quantitative Methods in Nursing Research

Edited by: Susan J. Henly

Print publication date:  August  2015
Online publication date:  July  2015

Print ISBN: 9780415521802
eBook ISBN: 9781315882307
Adobe ISBN: 9781134700233

10.4324/9781315882307
 Cite  Marc Record

Book description

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.

Table of contents

Prelims Download PDF
Chapter  1:  The Domain of Nursing Science Download PDF
Chapter  2:  Theorizing in Nursing Science Download PDF
Chapter  3:  Classical Test Theory Download PDF
Chapter  4:  Clinimetrics Download PDF
Chapter  5:  Item Response Theory Download PDF
Chapter  6:  Behavioral Observation Download PDF
Chapter  7:  Biophysical Measurement Download PDF
Chapter  8:  Structural Equation Modeling Download PDF
Chapter  9:  General Growth Mixture Models Download PDF
Chapter  10:  Multilevel Models Download PDF
Chapter  11:  Analysis of Dynamical Systems Download PDF
Chapter  12:  Theory-Based Nursing Interventions Download PDF
Chapter  13:  Pilot Studies for Randomized Clinical Trials Download PDF
Chapter  14:  Causality in Experiments and Observational Studies Download PDF
Chapter  15:  Quasi-Experimental Design in Nursing Research Download PDF
Chapter  16:  Third Variables Download PDF
Chapter  17:  Joint Models for Longitudinal Data and Time-to-Event Occurrence Download PDF
Chapter  18:  Data, Information, Knowledge, Wisdom Download PDF
Chapter  19:  Big Data in Nursing Research Download PDF
Chapter  20:  Data Mining and Data Visualization Download PDF
Chapter  21:  Genomic, Transcriptomic, Epigenomic, and Proteomic Approaches Download PDF
Chapter  22:  A Survey of the Sources of Noise in fMRI  Download PDF
Chapter  23:  Comparative Effectiveness Research and Meta-Analysis Download PDF
Chapter  24:  Patient Safety Research Download PDF
Chapter  25:  Economic Evaluations for Nursing Research Download PDF
Chapter  26:  Mixed Methods Download PDF
Chapter  27:  Global Generation and Dissemination of Nursing Science Download PDF
Index Download PDF
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