Normal view MARC view ISBD view

Statistics for evidence-based practice in nursing / MyoungJin Kim, Caroline Mallory

By: Kim, MyoungJin.
Contributor(s): Mallory, Caroline.
Material type: TextTextPublisher: Burlington, MA : Jones & Bartlett Learning, c2014Description: xviii, 394 p. : ill. ; 23 cm.ISBN: 9781449645670 (pbk.); 1449645674 (pbk.); 9781449686697 (pbk.); 1449686699 (pbk.).Subject(s): Nursing -- Statistical methods | Nursing -- Research -- Statistical methods | Statistics | Evidence-based nursing | Statistics as Topic | Evidence-Based Nursing | Nursing Research -- methodsGenre/Form: Nurses' InstructionDDC classification: 610.73072
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
Tags from this library: No tags from this library for this title. Log in to add tags.
    Average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode
Books Books SCHOOL OF HEALTH AND MEDICAL SCIENCES LIBRARY

School of Health and Medical sciences Library Mbweni

610.73072 (Browse shelf) Available M000001587

Includes bibliographical references and 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

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha