Nursing Research Using Data Analysis


Book Description

This is a concise, step-by-step guide to conducting qualitative nursing research using various forms of data analysis. It is part of a unique series of books devoted to seven different qualitative designs and methods in nursing, written for both novice researchers and specialists seeking to develop or expand their competency. This practical resource encompasses such methodologies as content analysis, a means of organizing and interpreting data to elicit themes and concepts; discourse analysis, used to analyze language to understand social or historical context; narrative analysis, in which the researcher seeks to understand human experience through participant stories; and focus groups and case studies, used to understand the consensus of a group or the experience of an individual and his or her reaction to a difficult situation such as disease or trauma. Written by a noted qualitative research scholar and contributing experts, the book describes the philosophical basis for conducting research using data analysis and delivers an in-depth plan for applying its methodologies to a particular study, including appropriate methods, ethical considerations, and potential challenges. It presents practical strategies for solving problems related to the conduct of research using the various forms of data analysis and presents a rich array of case examples from published nursing research. These include author analyses to support readers in decision making regarding their own projects. The book embraces such varied topics as data security in qualitative research, the image of nursing in science fiction literature, the trajectory of research in several nursing studies throughout Africa, and many others. Focused on the needs of both novice researchers and specialists, it will be of value to health institution research divisions, in-service educators and students, and graduate nursing educators and students. Key Features: Explains how to conduct nursing research using content analysis, discourse analysis, narrative analysis, and focus groups and case studies Presents state-of-the-art designs and protocols Focuses on solving practical problems related to the conduct of research Features rich nursing exemplars in a variety of health/mental health clinical settings in the United States and internationally




Statistics and Data Analysis for Nursing Research


Book Description

This edition uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so.




Nursing Research and Statistics


Book Description

Nursing Research and Statistics




Statistics for Nursing Research


Book Description

Understand the statistical methods used in nursing research articles! Statistics for Nursing Research: A Workbook for Evidence-Based Practice, 2nd Edition helps you interpret and analyze the statistical data found in health sciences research articles. Practical exercises show how to critically appraise sampling and measurement techniques, evaluate results, and conduct a power analysis for a study. Written by nursing statistics experts Susan Grove and Daisha Cipher, this is the only statistics workbook for nursing to include research examples from both nursing and medical literature for a complete perspective on health sciences research. Comprehensive coverage includes exercises that address all common techniques of sampling, measurement, and statistical analysis that you are likely to see in nursing and medical literature. A literature-based approach incorporates a relevant research article into each exercise/chapter, with key excerpts. 45 sampling, measurement, and statistical analysis exercises provide a practical review of both basic and advanced techniques, and prepare you to apply statistics to nursing practice. Consistent format for all chapters facilitates quick review and easier learning, covering the statistical technique in review, results from a research article, and study questions. Study questions in each chapter help you apply concepts to clinical practice. Questions to Be Graded in each chapter may be completed and submitted online, to assess your mastery of key statistical techniques. A concise index makes it easy to locate information quickly. NEW examples show the latest, high-quality research studies. NEW! Expanded coverage helps undergraduate students apply the information learned in statistics and research courses, serves as a refresher/review for graduate students, and also helps in critically appraising studies to determine whether their findings may be used in evidence-based practice. NEW! Understanding Statistical Methods section includes exercises to help in understanding the levels of measurement (nominal, ordinal, interval, and ratio) and in appraising the samples and measurement methods in studies. NEW! Conducting and Interpreting Statistical Analyses section includes exercises to help in understanding the power analysis and how to conduct a power analysis for a study, showing how to determine the most appropriate statistical method(s) for analyzing data for a class project, for a clinical agency project, or for an actual research study. NEW! Answers to study questions are located in the back of the book.




Introductory Statistics for Health and Nursing Using SPSS


Book Description

Introductory Statistics for Health & Nursing using SPSS is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text eschews long and off-putting statistical formulae in favour of non-daunting practical and SPSS-based examples. What′s more, its content will fit ideally with the common course content of stats courses in the field. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by lecturers with their students. The inclusion of real-world data and a host of health-related examples should make this an ideal core text for any introductory statistics course in the field.




Nursing Research


Book Description

The Sixth Edition of this classic text maintains its place as the "Gold Standard" of nursing research. Nationally and internationally known, respected and used, the text provides readers with the skills they need to design and implement a research investigation and critically evaluate published research reports. Now completely revised and updated to reflect the latest trends in quantitative and qualitative research, this essential guide offers a focused, "how-to" approach. New in this edition: expanded discussion of qualitative approaches; demonstration of qualitative and quantitative approaches working together; charts and tables offer description of qualitative approaches; stronger emphasis on the "hands-on, how-to" methodology; more in-depth examination of reasearch difference; research more powerful research utilization.




Big Data-Enabled Nursing


Book Description

Historically, nursing, in all of its missions of research/scholarship, education and practice, has not had access to large patient databases. Nursing consequently adopted qualitative methodologies with small sample sizes, clinical trials and lab research. Historically, large data methods were limited to traditional biostatical analyses. In the United States, large payer data has been amassed and structures/organizations have been created to welcome scientists to explore these large data to advance knowledge discovery. Health systems electronic health records (EHRs) have now matured to generate massive databases with longitudinal trending. This text reflects how the learning health system infrastructure is maturing, and being advanced by health information exchanges (HIEs) with multiple organizations blending their data, or enabling distributed computing. It educates the readers on the evolution of knowledge discovery methods that span qualitative as well as quantitative data mining, including the expanse of data visualization capacities, are enabling sophisticated discovery. New opportunities for nursing and call for new skills in research methodologies are being further enabled by new partnerships spanning all sectors.




Ethnography in Nursing Research


Book Description

This book describes the principles and methods of ethnography used by researchers (particularly nursing researchers) who examine issues related to health and illness. The authors describe both the processes related to gaining access to the “field” as well as how to: - Conduct ethnographic research in health settings - Analyze and interpret the data you collect from your field work - Make ethical decisions related to the role of being an ethnographer in a health setting, and - Put your ideas into writing so that you can create an ethnographic research proposal Written at a level appropriate for those who have taken an undergraduate research methods course, this book will enable you to learn from people about their health and/or illness.




Nursing Research Using Phenomenology


Book Description

Phenomenology recognizes that...the work of a nurse is the work of an embodied subject, a feeling and knowing and experiencing person in relationship to another embodied subject, the patient, who is another feeling and knowing and experiencing person. Phenomenology in nursing will be concerned with the subjective, living person in her or his lived body in the experience of health and illnessóboth nurse and patient. As such, it could have radical effects. óJeffrey McCurry, Director, Simon Silverman Phenomenology Center Duquesne University, Pittsburgh, Pennsylvania (From the Foreword) Phenomenology is a descriptive approach to obtaining knowledge that focuses on capturing the essence of human experience through the point of view of a distinct individual. As a form of qualitative nursing research, it provides a perspective apart from that of empirical sciences, which see the human mind and body as physical or material objects open to study only through empirical science and treatable only through physical remedies. This "how-to" book describes the foundations of phenomenology and the specifics of how to conduct nursing research using phenomenological designs. It is part of an innovative series for novice researchers and specialists alike focusing on state-of-the-art methodologies from a nursing perspective. Authored by international scholars of qualitative nursing research, the book elucidates the theoretical rationale for using phenomenology, describes its components, and delineates a plan to conduct studies that includes appropriate methods, ethical considerations, and potential pitfalls. The book provides guidance for writing a research proposal that justifies the importance or potential impact of a study and describes how to conduct interviews that best elicit information. It focuses on achieving rigor in phenomenological research in regard to accuracy and replicability, and discusses different types of data collection and analysis and when to use them. Appendices include a list of qualitative research journals, textbooks, and other resources for more in-depth study. Chapters provide helpful advice on interviewing and data analysis. The book will be of value to novice and experienced nurse researchers, graduate teachers and students, in-service educators and students, and nursing research staff at health care institutions. Key Features: Comprises the first "how-to" guide to conducting qualitative phenomenological research from a nursing perspective Presents a comprehensive plan for conducting studies and appropriate measures, ethical considerations, and potential challenges Guides readers in construction of a research proposal that justifies the importance or potential impact of a study Provides examples of interviews that best elicit information




Introduction to Nursing Research


Book Description

Nutrition Psychology: Improving Dietary Adherence presents prominent psychological theories that are known to drive human eating behavior, and reveal how these models can be transformed into proactive strategies for adhering to healthy dietary regimens.