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Statistics for evidence-based practice in nursing / Myoung Jin Kim and Caroline Mallory

By: Contributor(s): Material type: TextTextPublication details: Burlington, MA : Jone and Bartlett Learning, c2014Description: xviii, 394 pages : illustrations ; 23 cmISBN:
  • 9781449686697
Subject(s): LOC classification:
  • RT 68 .K56 2014
Contents:
Evidence-based practice in nursing, or why do I need to take statistics? -- Statistical essentials -- Statistical essentials II : measurement -- Working with IBM SPSS : statistical packages for the social sciences -- Organizing and displaying data -- Descriptive statistics -- Hypothesis testing -- Getting ready for the analysis -- Examining relationships between and among variables -- Modeling relationships -- Comparing group means : difference tests -- Nonparametric tests -- Categorical data analysis -- Meta-analysis -- Common statistical mistakes.
Summary: Is an accessible comprehensive learning tool for nurses. Peer reviewed courses tested, this text presents statistics in a readable, user-friendly format to meet the learning needs of students. The text includes key terms, critical thinking questions, and case studies incorporating research and evidence-based practice to help nurses connect statistics with everyday work in healthcare field.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Nursing GC RT 68 .K56 2014 c.1 (Browse shelf(Opens below)) c.1 Available NULIB000008346

Includes index.

Evidence-based practice in nursing, or why do I need to take statistics? -- Statistical essentials -- Statistical essentials II : measurement -- Working with IBM SPSS : statistical packages for the social sciences -- Organizing and displaying data -- Descriptive statistics -- Hypothesis testing -- Getting ready for the analysis -- Examining relationships between and among variables -- Modeling relationships -- Comparing group means : difference tests -- Nonparametric tests -- Categorical data analysis -- Meta-analysis -- Common statistical mistakes.

Is an accessible comprehensive learning tool for nurses. Peer reviewed courses tested, this text presents statistics in a readable, user-friendly format to meet the learning needs of students. The text includes key terms, critical thinking questions, and case studies incorporating research and evidence-based practice to help nurses connect statistics with everyday work in healthcare field.

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