Statistics for nursing : a practical approach / Elizabeth Heavey.

Format:

Book

Author/Creator:

Heavey, Elizabeth, author.

Language:

English

Subjects (All):

Nursing--Statistical methods.

Nursing.

Physical Description:

1 online resource (429 pages) : illustrations (some color)

Edition:

Third edition.

Place of Publication:

Burlington, Massachusetts : Jones & Bartlett Learning, 2019.

Summary:

Each new print copy includes Navigate 2 Advantage Access that unlocks a comprehensive and interactive eBook, student practice activities and assessments, a full suite of instructor resources, and learning analytics reporting tools.Statistics for Nursing: A Practical Approach, Third Edition is designed in accordance with the Conversation Theory of.

Contents:

Intro

Title Page

Copyright Page

Dedication

Contents

Introduction

Acknowledgments

Chapter 1: Introduction to Statistics and Levels of Measurement

Population versus Sample

Quantitative versus Qualitative

Independent versus Dependent Variables

Continuous versus Categorical Variables

Levels of Measurement

Summary

Review Questions

Chapter 2: Presenting Data

Frequency Distributions

Percentages

Bar Charts

Histograms

Line Graphs

Scatterplots

Box and Whiskers Plot

Chapter 3: Descriptive Statistics, Probability, and Measures of Central Tendency

Descriptive Statistics: Properties of Variables

Measures of Central Tendency

Range and Sample Standard Deviation

Calculating the Standard Deviation

Using a Box and Whiskers Plot to Display Central Tendency and Range

Moving Forward: Inferential Statistics

Frequency Distributions versus Probability Distributions

The Normal Distribution

Skewed Distributions

Chapter 4: Measuring Data

Feasibility

Validity

Reliability

Screening Tests

Sensitivity

Specificity

Positive Predictive Value of a Screen

Negative Predictive Value

Efficiency

Chapter 5: Sampling Methods

Sampling Methods

Probability Sampling

Sampling Error versus Sampling Bias

Sampling Distributions

Nonprobability Sampling

Inclusion and Exclusion Criteria

Sample Size

Chapter 6: Generating the Research Idea

Hypothesis Testing

Statistical Significance

Statistical Significance versus Clinical Significance

How Does the Test Statistic Compare to the Null Hypothesis?

Applying the Decision Rule

Test Statistics and Corresponding p-Values

Review Questions.

Chapter 7: Sample Size, Effect Size, and Power

Effect Size

Type Two Error

A Quick Review of Type One and Type Two Errors

Chapter 8: Chi-Square

Chi-Square (X 2) Test

The Null and Alternative Hypotheses

2 × 2 Table

Degrees of Freedom

Direction of the Relationship

When Not to Use Chi-Square: Assumptions and Special Cases

Chapter 9: Student t-Test

The Student t-Test

Degrees of Freedom for Student t-Tests

Chapter 10: Analysis of Variance (ANOVA)

Comparing More Than Two Samples

Appropriate Use of ANOVA

Repeat-Measures ANOVA

Chapter 11: Correlation Coefficients

Looking for a Relationship in One Sample

Selecting the Best Correlation Test to Use

Strength of the Relationship

Appropriate Use of Correlation Coefficients

More Uses for Pearson's r

Chapter 12: Regression Analysis

Quantifying an Association

Chapter 13: Relative Risk, Odds Ratio, and Attributable Risk

Epidemiology

Study Designs Used in Epidemiology

Attributable Risk

Appendix A: Tables for Reference

Appendix B: Working with Small Samples

References

Epilogue

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Description based on publisher supplied metadata and other sources.

ISBN:

1-284-14202-7

OCLC:

1027203146