Statistics and Data Analysis Literacy for Nurses
Language: English
Published by Springer Publishing Nov 2022, 2022
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 143.83
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Add to basketItem description from seller
Neuware - Awarded third place in the 2023 AJN Book of the Year Awards in Nursing Research.Takes the fear out of statistics through a combination of visual and practical learning!'Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. [This book] fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics.' -Mary Ellen Smith Glasgow, PhD, RN, ACNS-BC, ANEF, FAANDean and ProfessorDuquesne University School of NursingThe only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to help students understand difficult analytic information. Modelled on an effective and proven method of learning-graphical illustrations first, technical details second-the text helps students understand appropriate research design, measurement, and analysis of how results are calculated. Providing a gentle progression into the complexities of statistics, it builds upon concepts step-by-step, helping students to reinforce prior knowledge before moving on the new information.Chapters initially focus on the practical application of content to illustrate how statistics are used, followed by working examples-addressing both research and evidence-based content and epidemiology and population health content-to enhance understanding and underscore the importance of the methodology. The book integrates the latest changes from the ASA related to statistical significance tested and addresses recent deliberations about sample size. Abundant Instructor Resources include PowerPoints, a test bank, data sets, information on how to obtain online programming classes, and sample lesson plans and activities.Key Features:- Uses a proven, step-by-step method including a graphic representation of data followed by analytic content- Follows graphical representation with examples of appropriate research design, measurement, and analysis of how results are calculated- Includes a basic review checklist- Provides chapter objectives, summaries, review questions, and key terms- Offers data sets for those instructors/students who wish to do analyses- Addresses SPSS and other software, including open source (JAMOVI, JASP, and R-Studio)- Includes a comprehensive Instructor Resource Package to ensure faculty have the tools they need to work with students.…
Seller Inventory # 9780826165817
- Title
- Statistics and Data Analysis Literacy for Nurses
- Author
- James B. Schreiber
- Publisher
- Springer Publishing Nov 2022
- Publication year
- 2022
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0826165818
- ISBN 13
- 9780826165817
- Item weight
- 626 grams
- Dimensions
- 254x178x18 mm
Awarded third place in the 2023 AJN Book of the Year Awards in Nursing Research.
Takes the fear out of statistics through a combination of visual and practical learning!
"Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. [This book] fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics."
―Mary Ellen Smith Glasgow, PhD, RN, ACNS-BC, ANEF, FAAN
Dean and Professor
Duquesne University School of Nursing
The only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to help students understand difficult analytic information. Modelled on an effective and proven method of learning―graphical illustrations first, technical details second―the text helps students understand appropriate research design, measurement, and analysis of how results are calculated. Providing a gentle progression into the complexities of statistics, it builds upon concepts step-by-step, helping students to reinforce prior knowledge before moving on the new information.
Chapters initially focus on the practical application of content to illustrate how statistics are used, followed by working examples―addressing both research and evidence-based content and epidemiology and population health content―to enhance understanding and underscore the importance of the methodology. The book integrates the latest changes from the ASA related to statistical significance tested and addresses recent deliberations about sample size. Abundant Instructor Resources include PowerPoints, a test bank, data sets, information on how to obtain online programming classes, and sample lesson plans and activities.
Key Features:
- Uses a proven, step-by-step method including a graphic representation of data followed by analytic content
- Follows graphical representation with examples of appropriate research design, measurement, and analysis of how results are calculated
- Includes a basic review checklist
- Provides chapter objectives, summaries, review questions, and key terms
- Offers data sets for those instructors/students who wish to do analyses
- Addresses SPSS and other software, including open source (JAMOVI, JASP, and R-Studio)
- Includes a comprehensive Instructor Resource Package to ensure faculty have the tools they need to work with students
"Synopsis" may belong to another edition of this title.
About the Author
James B. Schreiber, PhD, is a professor of epidemiology and statistics in the School of Nursing at Duquesne University.
Melanie T. Turk, PhD, MSN, RN, is an Associate Professor at Duquesne University School of Nursing.
"About the title" may belong to another edition of this title.
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