Statistics and Data Analysis for Nursing Research

Author: Denise F. Polit
Publisher: Prentice Hall
ISBN: 9780135085073
Format: PDF, Docs
Download Now
The second edition of Statistics and Data Analysis for Nursing , 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. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. New to this edition are updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.

Statistics for Nursing Research

Author: Susan K. Grove
Publisher: Elsevier Health Sciences
ISBN: 0323376614
Format: PDF, ePub, Mobi
Download Now
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.

Statistics for Evidence Based Practice in Nursing

Author: MyoungJin Kim
Publisher: Jones & Bartlett Publishers
ISBN: 1284088375
Format: PDF, ePub
Download Now
Statistics for Evidence-Based Practice in Nursing, Second Edition presents statistics in a readable, user-friendly manner for both graduate students and the professional nurse.

Data Analysis Statistics for Nursing Research

Author: Denise F. Polit
Publisher: Prentice Hall
ISBN: 9780838563298
Format: PDF, Docs
Download Now
This introductory textbook uses a conversational style to teach students how to use statistical methods and procedures for the analysis of research findings. Students are guided through the process from performing a statistical analysis to the rationale behind doing so. In addition, management of data, including how and why to recode variables for analysis, how to clean data, and how to work around missing data, is discussed.

Clinical Research

Author: Manfred Stommel
Publisher: Lippincott Williams & Wilkins
ISBN: 9780781735186
Format: PDF
Download Now
This unique textbook integrates statistical concepts into evidence-based clinical practice and patient management. Research concepts and techniques are drawn from epidemiology, bio-statistics, and psychometrics, as well as educational and social science research. Clinical examples throughout the text illustrate practical and scientifically sound applications of the concepts. Data tables and research vignettes highlight statistical distributions involving probability. Methods to locate and utilize web-based information relevant to clinical research are discussed, and web URLs are provided. Further learning is encouraged by the inclusion of suggested activities, recommended readings, references, and a comprehensive glossary of research terms. Additional resources are available at a Connection Website, connection.LWW.com/go/stommel.

Evidence Based Nursing

Author: Alba DiCenso
Publisher: Elsevier Health Sciences
ISBN: 0323080901
Format: PDF
Download Now
Written in response to numerous requests by nurse practitioners and other graduate faculty for a nursing literature resource, this new two-color book is based on the Users' Guides to the Medical Literature: A Manual for Evidence-Based Practice by Dr. Gordon Guyatt and Dr. Drummond Rennie, published in 2001 by the AMA. Revised for the nursing audience, Evidence-Based Nursing is a reader-friendly, accessible guide that features plentiful examples from the nursing literature and the addition of specific nursing issues such as qualitative research, with direct application for clinical practice. Drs. DiCenso, Ciliska, and Guyatt are three of the leaders in the evidence-based nursing community and command worldwide recognition. Evidence-Based Nursing will enable nurses to frame their clinical questions in a way that will help them find and distinguish between strong and weak evidence; clearly understand study results; weigh the risks and benefits of management options; and apply the evidence to their individual patients to improve outcomes. This is the only book of its kind that helps nurses use the nursing literature effectively to solve patient problems. Three-step approach to dissecting a problem — to help find the best evidence and improve patient care, most questions can be divided into three parts: (1) Are the results valid? (2) What are the results? and (3) How can I apply the results to patient care? Part One - The Basics: Using the Nursing Literature provides a basic approach to the problems faced by nurses when determining optimal care, predicting patient progress, and protecting patients from potentially harmful side effects and includes a literature assessment summary and management recommendations. Part Two - Beyond the Basics: Using and Teaching the Principles of Evidence-Based Nursing expands on Part One, providing concrete examples through the presentation of cases. Two-part organization helps both beginners and those more accomplished at using the nursing literature. Clinical Scenario provides a brief but detailed description of a clinical situation that requires the application of research through a critical thinking process. Using the Guide examines a clinical scenario, and then evaluates the way in which research findings are collected, analyzed, and applied to the resolution of the problem presented in the scenario. Free CD-ROM contains everything found in the book, allowing for electronic outlining, content filtering, full-text searching, and alternative content organizations.

Clinical Analytics and Data Management for the DNP

Author: Martha L. Sylvia, PhD, MBA, RN
Publisher: Springer Publishing Company
ISBN: 0826129749
Format: PDF, ePub
Download Now
"DNP students may struggle with data management, since their projects are not research, but quality improvement, and this book covers the subject well. I recommend it for DNP students for use during their capstone projects." Score: 98, 5 Stars.--Doody's Medical Reviews Strong data management knowledge and skills are a requirement for every DNP. This unique text focuses on fostering the rigorous, meticulous data management skills that can improve care experience, health outcomes, and cost savings worldwide. It provides a knowledge base, describes the regulatory and ethical context, outlines a process to guide evaluation, presents a compendium of resources, and includes examples of evaluation of translation. It takes the DNP student step by step through the complete process of data management, including planning, data collection, data governance and cleansing, analysis, and data presentation. Moreover, the text continues the process of establishing a sturdy clinical data management (CDM) skill base by presenting techniques for ongoing project monitoring after analysis and evaluation are concluded. A progressive case study illustrates multiple techniques throughout each chapter, enabling students to apply what they have learned to their own DNP projects. The book features information from professors who are highly experienced in teaching CDM as well as a renowned scholar of population health analytics. The text provides very specific examples of techniques using SPSSÆ software that is familiar to graduate nursing students. Chapters include objectives, references, and examples from translation projects to assist students to learn and apply chapter content. Appendices describe numerous tools and practical strategies compiled by the authors over several years of teaching CDM to DNP students. Key Features: Meets the specific data management needs of the DNP student from planning to presentation Presents a wide selection of data display options through frequent illustrations of SPSS data Uses a progressive case study to illustrate multiple techniques and methods throughout chapters Provides substantial content necessary for the DNP student to rigorously evaluate DNP innovations/projects Includes very specific examples of the application and utility of these techniques using software that is familiar to graduate nursing students

Data Management and Analysis Using JMP

Author: Jane E Oppenlander
Publisher: SAS Institute
ISBN: 1629605409
Format: PDF, ePub, Docs
Download Now
A holistic, step-by-step approach to analyzing health care data! Written for both beginner and intermediate JMP users working in or studying health care, Data Management and Analysis Using JMP: Health Care Case Studies bridges the gap between taking traditional statistics courses and successfully applying statistical analysis in the workplace. Authors Jane Oppenlander and Patricia Schaffer begin by illustrating techniques to prepare data for analysis, followed by presenting effective methods to summarize, visualize, and analyze data. The statistical analysis methods covered in the book are the foundational techniques commonly applied to meet regulatory, operational, budgeting, and research needs in the health care field. This example-driven book shows practitioners how to solve real-world problems by using an approach that includes problem definition, data management, selecting the appropriate analysis methods, step-by-step JMP instructions, and interpreting statistical results in context. Practical strategies for selecting appropriate statistical methods, remediating data anomalies, and interpreting statistical results in the domain context are emphasized. The cases presented in Data Management and Analysis Using JMP use multiple statistical methods. A progression of methods--from univariate to multivariate--is employed, illustrating a logical approach to problem-solving. Much of the data used in these cases is open source and drawn from a variety of health care settings. The book offers a welcome guide to working professionals as well as students studying statistics in health care-related fields.