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Statistics for nursing : a practical approach / Elizabeth Heavey, PhD, RN, CNM, Professor of Nursing, SUNY College at Brockport, Brockport, New York.

Heavey, Elizabeth, (author.).

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 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 Third Edition has been updated with practice activities which enable students to apply the content they have learned. In addition, the authors have included new research articles to develop and reinforce literature critiquing skills. These new features provide more opportunities for students to apply the concepts learned while the explanations are beneficial to clinical experts interested in further developing evidence-based skills. 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. New to the Third Edition:* Additional review questions* New and updated graphs and figures* Updated lesson content for computer application exercises.

Record details

  • ISBN: 9781284142013 (paperback)
  • Physical Description: xii, 301 pages : illustrations (some color) ; 23 cm
  • Edition: Third edition.
  • Publisher: Burlington, MA : Jones & Bartlett Learning, [2019]

Content descriptions

Bibliography, etc. Note:
Includes bibliographical references and index.
Formatted Contents Note:
Introduction to statistics and levels of measurement -- Presenting data -- Descriptive statistics, probability, and measures of central tendency -- Measuring data -- Sampling methods -- Generating the research idea -- Sample size, effects size and power -- Chi square -- Student test -- Analysis of variance -- Correlation coefficients -- Regression analysis -- Relative risk, odd ratio and attributable risk.
Subject: Nursing > Statistical methods.

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Introduction ix
Acknowledgments xi
Chapter 1 Introduction to Statistics and Levels of Measurement
1(18)
Introduction
2(2)
Population Versus Sample
4(1)
Quantitative Versus Qualitative
4(1)
Independent Versus Dependent Variables
5(1)
Continuous Versus Categorical Variables
6(1)
Levels of Measurement
6(5)
Summary
11(1)
Review Questions
12(7)
Chapter 2 Presenting Data
19(22)
Frequency Distributions
21(1)
Percentages
22(1)
Bar Charts
23(5)
Histograms
28(1)
Line Graphs
29(1)
Scatterplots
29(1)
Box and Whiskers Plot
30(1)
Summary
31(1)
Review Questions
31(10)
Chapter 3 Descriptive Statistics, Probability, And Measures Of Central Tendency
41(22)
Descriptive Statistics: Properties of Variables
43(1)
Measures of Central Tendency
43(1)
Range and Sample Standard Deviation
44(1)
Calculating the Standard Deviation
45(2)
Using a Box and Whiskers Plot to Display Central Tendency and Range
47(4)
Moving Forward: Inferential Statistics
51(1)
Frequency Distributions Versus Probability Distributions
51(3)
The Normal Distribution
54(2)
Skewed Distributions
56(1)
Summary
57(1)
Review Questions
58(5)
Chapter 4 Measuring Data
63(20)
Feasibility
65(1)
Validity
65(1)
Reliability
66(2)
Screening Tests
68(1)
Sensitivity
69(1)
Specificity
69(2)
Positive Predictive Value of a Screen
71(2)
Negative Predictive Value
73(1)
Efficiency
74(1)
Summary
74(1)
Review Questions
75(8)
Chapter 5 Sampling Methods
83(16)
Sampling Methods
84(1)
Probability Sampling
85(1)
Sampling Error Versus Sampling Bias
86(1)
Sampling Distributions
87(3)
Nonprobability Sampling
90(2)
Inclusion and Exclusion Criteria
92(1)
Sample Size
92(1)
Summary
93(1)
Review Questions
93(6)
Chapter 6 Generating The Research Idea
99(14)
Hypothesis Testing
100(2)
Statistical Significance
102(2)
Statistical Significance Versus Clinical Significance
104(2)
How Does the Test Statistic Compare to the Null Hypothesis?
106(1)
Applying the Decision Rule
107(1)
Test Statistics and Corresponding p-Values
107(1)
Summary
107(1)
Review Questions
108(5)
Chapter 7 Sample Size, Effect Size, and power
113(14)
Effect Size
114(3)
Type Two Error
117(1)
A Quick Review of Type One and Type Two Errors
118(1)
Sample Size
119(2)
Summary
121(1)
Review Questions
121(6)
Chapter 8 Chi-Square
127(18)
Chi-Square (X2) Test
128(1)
The Null and Alternative Hypotheses
128(1)
2×2 Table
128(1)
Degrees of Freedom
129(1)
Statistical Significance
129(1)
Direction of the Relationship
129(3)
When Not to Use Chi-Square: Assumptions and Special Cases
132(3)
Summary
135(1)
Review Questions
136(9)
Chapter 9 Student t-Test
145(26)
The Student t-Test
146(6)
The Null and Alternative Hypotheses
152(1)
Statistical Significance
152(1)
Degrees of Freedom for Student t-Tests
152(8)
Summary
160(1)
Review Questions
161(10)
Chapter 10 Analysis of Variance (ANOVA)
171(20)
Comparing More Than Two Samples
172(1)
The Null and Alternative Hypotheses
172(2)
Degrees of Freedom
174(1)
Statistical Significance
174(1)
Appropriate Use of ANOVA
175(1)
Repeat-Measures ANOVA
176(5)
Summary
181(1)
Review Questions
181(10)
Chapter 11 Correlation Coefficients
191(16)
Looking for a Relationship in One Sample
192(1)
The Null and Alternative Hypotheses
192(1)
Selecting the Best Correlation Test to Use
193(1)
Direction of the Relationship
193(1)
Sample Size
194(1)
Strength of the Relationship
194(1)
Statistical Significance
194(1)
Appropriate Use of Correlation Coefficients
195(1)
More Uses for Pearson's r
195(3)
Summary
198(2)
Review Questions
200(7)
Chapter 12 Regression Analysis
207(42)
Quantifying an Association
208(31)
Summary
239(1)
Review Questions
239(10)
Chapter 13 Relative risk, Odds ratio, and Attributable Risk
249(28)
Epidemiology
251(1)
Study Designs Used in Epidemiology
251(14)
Attributable Risk
265(1)
Summary
266(1)
Review Questions
267(10)
Appendix A Tables for Reference 277(10)
Appendix B Working With Small Samples 287(4)
References 291(4)
Epilogue 295(2)
Index 297


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