Statistics and data analysis for nursing research / Denise F. Polit.
Material type:
TextSeries: Pearson custom libraryPublisher: Harlow, Essex : Pearson, [2014]Copyright date: ℗♭2014Edition: 2nd edition; 2nd editionDescription: 446 pages : illustrations (black and white)Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781292054926 (ebook)Uniform titles: Data analysis & statistics for nursing research Subject(s): Nursing -- Research | Nursing -- Research -- Statistical methods | Health and Wellbeing | Medicine: general issues | NursingGenre/Form: LOC classification: RT81.5Online access: Click to view (1 copy) Also available in printed form ISBN 9781292027814Summary: 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. 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. Students are guided through the complete analysis 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.
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Electronic publication | Electronic publication | Available |
Includes index.
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. 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. Students are guided through the complete analysis 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.
Also available in printed form ISBN 9781292027814
Electronic reproduction. Askews and Holts. Mode of access: World Wide Web.
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