Details

Subject(s)

• Research—Design [Browse]

Related name

• Henly, Susan J. (Susan Joan) [Browse]

Series

• Routledge international handbook series. [More in this series]
• Routledge International Handbook

Summary note

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-mo

Notes

Description based upon print version of record.

Bibliographic references

Includes bibliographical references at the end of each chapters and index.

Source of description

Description based on print version record.

Language note

English

Contents

• Cover; Title; Copyright; Dedication; CONTENTS; List of figures; List of tables; Contributors; Acknowledgments; 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 variabilityPART 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 visualization21 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

ISBN

• 1-315-88230-2
• 1-134-70023-7

OCLC

• 958101822
• 918622214

Doi

• 10.4324/9781315882307

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