Class Learning

Statistics for Nursing: A Practical Approach, Second Edition

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    ISBN: 9781284048346
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    Second Edition
    ISBN: 9781284048346

Elizabeth Heavey

An Applied Statistics Text Written for Nurses by Nurses

“I really do like this text book; it is both simple and comprehensive enough for Baccalaureate students and probably for most Masters level students.” Nursing Instructor

Statistics for Nursing: A Practical Approach, Second Edition is designed in accordance with the Conversation Theory of Gordon Pask and presents the complicated topic of statistics in an understandable manner for entry level nurses.  The underlying principle of this design is to give students the opportunity to practice statistics while they learn statistics. The text accomplishes this through the inclusion of relevant clinical examples followed by end of chapter application exercises.

The Second Edition focuses on topics around Nursing Practice and was selected based on a review of the current statistical techniques used most frequently in nursing literature. The top ten statistical techniques used throughout nursing are covered very clearly in the text and without any irrelevant complicating concepts.

This text meets the needs of both undergraduate nursing research students who need to learn how to critically analyze literature as well as graduate DNP students who must also be familiar with statistics for nursing in accordance with the rigor of the DNP program.

Key Features:

    Inclusion of actual nursing research in each chapter
    Clinically relevant application of all statistical techniques
    Relevant review questions
    Step by step process for applying the statistical knowledge to clinical practice

Instructor Resources Include:

    Recorded Lectures
    SPSS Video
    Written Tutorials
    Homework Review Videos
    Test Bank

Table of Contents

Chapter  1  Introduction to Statistics and Levels of Measurement
Chapter  2  Presenting Data
Chapter  3  Descriptive Statistics, Probability, and Measures of Central Tendency
Chapter  4  Evaluating Your Measurement Tool
Chapter  5  Sampling Methods
Chapter  6  Generating the Research Idea
Chapter  7  Sample Size, Effect Size, and Power
Chapter  8  Chi-Square
Chapter  9  Student t-Test
Chapter  10  Analysis of Variance (ANOVA)
Chapter  11  Correlation Coefficients
Chapter  12  Regression
Chapter  13  Relative Risk, Odds Ratio, and Attributable Risk

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