Research methods in nursing and midwifery : pathways to evidence-based practice / edited by Sansnee Jirojwong, Maree Johnson, Anthony Welch.

Includes bibliographical references and index.

Contents
Part 1: Getting started in research
1. The importance of research in Nursing and Midwifery
Introduction
The place of research in generating knowledge
The importance of evidence-based nursing and midwifery practices
The purposes of research
Inductive and deductive reasoning in research
Paradigms for nursing and midwifery research
etc

2. Evidence-based practice for nursing and Midwives
Introduction
Skills required for evidence-based practice
Why evidence-based practice
Do nurses practice in evidence-based practice
Working together work well in EBP

3 Introducing the research process
Introduction
Planning the research

4 Ethical and legal consideration in research
introduction
History of ethics committees
Roles of research council and the conduct of health research
Ethical principles and research conduct
Data management throughout the research study and beyond

Part 2: Qualitative research methods
5 Sampling in Qualitative research
Introduction
What is sampling
Bias in sampling

6 Qualitative research design
Introduction
The types of qualitative research

7 Data collection: Qualitative research
Introduction
Preparing for the process of data collection
Choosing the mode(s) for data collection
Triangulation in data collection
Rigour and trustworthiness

8 Qualitative data analysis
Introduction
The stages of qualitative analysis
Theories and methods
Analyzing visual data
Data searching and retrieval
Developing and testing theory

Part 3 Quantitative and mixed methods research
9 Sampling in quantitative research
Introduction
Populations and samples
Probability sampling and non-probability sampling
Bias in sampling
Sample size

10 Quantitative research design
introduction
What is quantitative research design?
Quantitative research and causality

11 Data collection: Quantitative research
Introduction
Data collection methods
Choosing an existing instrument or scale

12 Quantitative data analysis
Introduction
Why statistics?
Descriptive statistics
Use of computer programs for data analysis

13 Mixed methods research
Introduction
Why conduct mixed methods research?
Differences between quantitative and qualitative research methods
Views of mixed methods of research
Sampling technique for mixed methods studies
Analysis of mixed methods data
Issues of validity in mixed methods research
The future of mixed methods research

Part 4 Pathway to evidence-based practice
14 Critical review of research
Introduction
Selection and effective reading of the literature
Critical appraisal and consideration of the level of available evidence
Critical methods

Undertaking a systematic review
Introduction The process of systematic review
Conducting the systematic review
Data analysis

Disseminating research
Introduction
Avenues for research dissemination and how to target the right one
Barriers to publishing and strategies for overcoming them








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