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Statistics For Nursing: A Practical ApproachAuthor: Elizabeth Heavey
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
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 Measuring Data
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 Analysis
Chapter 13 Relative Risk, Odds Ratio, and Attributable Risk