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Statistics for Evidence Based Practice in Nursing 3rd Edition by MyoungJin Kim, Caroline Mallory, Teresa Valerio ISBN 1284194671 9781284194678
Original price was: $50.00.$35.00Current price is: $35.00.
Authors:Kim, MyoungJin; Mallory, Caroline; Valerio, Teresa; Caroline Mallory; Teresa D. Valerio , Series:Nursing [183] , Author sort:Kim, MyoungJin; Mallory, Caroline; Valerio, Teresa & Mallory, Caroline & Valerio, Teresa D. , Languages:Languages:eng , Published:Published:Jun 2022 , Publisher:Jones & Bartlett Learning, LLC
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ISBN 10: 1284194671
ISBN 13: 978-1284194678
Author: MyoungJin Kim, Caroline Mallory, Teresa Valerio
Statistics for Evidence-Based Practice in Nursing 3rd Table of contents:
Chapter 1: Evidence-Based Practice in Nursing, or Why Do We Need to Take Statistics?
- Introduction
- Statistics and Evidence-Based Practice
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 2: Statistical Essentials I
- Statistics
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 3: Statistical Essentials II: Measurement
- Variables and Data
- Levels of Measurements
- Reliability and Validity
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 4: Working with Microsoft Excel and IBM SPSS Statistics Software (SPSS)®
- Introduction to Spreadsheet and Statistical Software Packages
- Basic Features of Microsoft Excel
- Basic Features of SPSS
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 5: Organizing and Displaying Data
- Introduction
- Grouping Data
- Graphs and Charts
- Other Graphs and Charts
- Presenting the Data in the Best Format
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 6: Descriptive Statistics
- Introduction
- Measures of Central Tendency
- Measures of Variability
- Normal Distribution
- Confidence Interval
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 7: Hypothesis Testing
- Introduction
- General Steps in Hypothesis Testing
- Hypotheses
- Hypothesis Testing with an Example
- Effect Size
- Statistical Power
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 8: Getting Ready for the Analysis
- Introduction
- Missing Data
- Outliers
- Assumptions of Parametric Tests
- Summary
- Critical Thinking Questions
- Self-Quiz
Chapter 9: Examining Relationships Between and Among Variables
- Introduction
- Measuring Relationships
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 10: Modeling Relationships
- Introduction
- Doing and Interpreting Simple Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 11: Tests for Comparing Group Means: Part I
- Introduction
- Choosing the Right Statistical Test
- One-Sample t-Test
- t-Test for Independent Groups
- t-Test for Dependent Groups
- One-Way Analysis of Variance
- Multiple Comparisons
- Reporting Planned Contrasts and/or Post Hoc Tests
- Summary
- Critical Thinking Questions
- Self-Quiz
- Reference
Chapter 12: Tests for Comparing Group Means: Part II
- Introduction
- Choosing the Right Statistical Test
- ANCOVA
- Factorial Analysis of Variance (ANOVA)
- Repeated Measures ANOVA
- MANOVA
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 13: Nonparametric Tests
- Introduction
- Comparing Two Independent Groups: Wilcoxon Rank-Sum Test and/or Mann-Whitney Test
- Comparing Two Dependent Groups: Wilcoxon Signed-Rank Test
- Comparing Several Independent Groups: Kruskal-Wallis Test
- Comparing Several Dependent Groups: Friedman’s ANOVA
- Summary
- Critical Thinking Questions
- Self-Quiz
- Reference
Chapter 14: Categorical Data Analysis: Nonparametric Tests of Association
- Introduction
- Chi-Square (X²) Test
- Fisher’s Exact Test
- Phi and Cramer’s V
- Summary
- Critical Thinking Questions
- Self-Quiz
- References
Chapter 15: Avoiding Common Statistical Mistakes
- Introduction
- Mistake 1: Overlooking the Importance of Checking Assumptions
- Mistake 2: Arbitrarily Selecting the Sample Size
- Mistake 3: Deleting Missing Data without Justification
- Mistake 4: Mispresentation of the Data
- Mistake 5: Implying Causation from Correlation
- Mistake 6: Confusing Statistical Results with a Small P-Value with Practical or Clinical Importance
- Mistake 7: Extrapolating a Regression Prediction Line
- Mistake 8: Confusing Paired Data and Nonpaired Data
- Mistake 9: Selecting Inappropriate Statistical Tests
- Summary
- Critical Thinking Questions
- Self-Quiz
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