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Statistics and Data Analysis for Nursing Research 2nd Edition PDF is one of the best book for quick review. It is very good book to study a day before your exam. It can also cover your viva questions and will help you to score very high.
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Features of Statistics and Data Analysis for Nursing Research 2nd Edition PDF
Following are the features of Statistics and Data Analysis for Nursing Research 2nd Edition PDF:
The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Readers are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. Special focus is given to quantitative methods. Other features include management of data, how to “clean” data, and how to work around missing data. New to this edition are
updated research examples utilizinging examples from an international mix of studies published by nurse researchers in 2006-2009.
- Informational, well understood, and reader-friendly
- It Covers huge details about descriptive, bivariate inferential, and multivariate statistics.
- More focus on quantitative procedures rather than boring the reader with qualitative methods
- The main target is how to analyze and interpret data through computer analysis.
- Every chapter provides instruction on preparing statistical details and explaining specific topics.
- Also includes a chapter on basic psychometric analysis
- New terms highlight to provide more updated content
- Exercises at the end of every chapter to enhance the learning status of readers
- Emphasis on evidence-based practice for reliable evaluation
- Approaches for doing power analysis to estimate sample size just expanded
- Computer output from statistical analysis added throughput the book
- Guidance on how to read output from computer analysis
- Exemplary tables added to facilitate learning
- Tables and figures are part of the book to engage the reader’s attention
- eBook available to get access
Denis F. Polit (ph.D.)
She wrote several books on nursing subjects. In addition, she is also one of the experts in the nursing field.
Chapter 1 – Introduction to Data Analysis.
Chapter 2 – Univariate Statistics: Tabulating and Displaying Data.
Chapter 3 – Univariate Statistics: Central Tendency and Variability.
Chapter 4 – Bivariate Description.
Chapter 5 – Statistical Inference.
Chapter 6 -Testing the Difference Between Two Means: The Two-Sample t-Test.
Chapter 7 – Analysis of Variance.
Chapter 8 – Chi-Square and Other Nonparametric Tests.
Chapter 9 – Correlation and Simple Regression.
Chapter 10 – Multiple Regression.
Chapter 11 – Analysis of Covariance, Multivariate ANOVA, and Canonical Analysis.
Chapter 12 – Factor Analysis.
Chapter 13 – Discriminant Analysis and Logistic Regression.
Chapter 14 – Causal Modeling: Path Analysis and Linear Structural Relations Analysis.
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