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Statistics and Data Analysis for Nursing Research Denise Polit, PB Good 2nd Ed.
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USD6,50 (aprox. 5,56 EUR) USPS Media MailTM.
Ubicado en: Chula Vista, California, Estados Unidos
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Entrega prevista entre el jue. 24 jul. y el sáb. 26 jul. a 94104
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N.º de artículo de eBay:197535882705
Características del artículo
- Estado
- Release Year
- 2009
- Book Title
- Statistics and Data Analysis for Nursing Research
- ISBN
- 9780135085073
Acerca de este producto
Product Identifiers
Publisher
Pearson Education
ISBN-10
0135085071
ISBN-13
9780135085073
eBay Product ID (ePID)
103112501
Product Key Features
Number of Pages
456 Pages
Publication Name
Statistics and Data Analysis for Nursing Research
Language
English
Publication Year
2009
Subject
Nursing / Research & Theory, General
Type
Textbook
Subject Area
Medical
Format
Trade Paperback
Dimensions
Item Height
0.9 in
Item Weight
28.6 Oz
Item Length
9.9 in
Item Width
8 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2009-009967
Illustrated
Yes
Table Of Content
Chapter Chapter Title 1 Introduction to Data Analysis in an Evidence-Based Practice Environment 2 Frequency Distribution: Tabulating and Displaying Data 3 Central Tendency, Variability, and Location 4 Correlation, Crosstabulation, and Risk Indexes: Describing Relationships: 5 Statistical Inference 6 t Tests 7 Analysis of Variance 8 Chi Square and Other Nonparametric Tests 9 Correlation and Simple Regression 10 Multiple Regression 11 Analysis of Covariance, MANOVA, and Other Related Multivariate Techniques 12 Using Logistic Regression 13 Factor Analysis and Internal Consistency Reliability Analysis 14 Missing Values Appendix A: Theoretical Probability Tables Appendix B: Power Analysis/Effect Size Tables Appendix C: Tips on Handling Missing Data Appendix D: Answers for Selected Exercises
Synopsis
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., 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., 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 updatedresearch examplesutilizinging examples from an international mix of studies published by nurse researchers in 2006-2009. ", 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 analyse research findings. Students are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. In addition, management of data, including how and why to recode variables for analysis, how to "clean" data, and how to work around missing data, is discussed.
LC Classification Number
RT81.5.P62 2010
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