Data Analysis and Statistics for Nursing Research by Denise F. Polit (1996, Trade Paperback)

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About this product

Product Identifiers

PublisherPrentice Hall PTR
ISBN-100838563295
ISBN-139780838563298
eBay Product ID (ePID)851543

Product Key Features

Number of Pages512 Pages
Publication NameData Analysis and Statistics for Nursing Research
LanguageEnglish
SubjectGeneral, Nursing / General
Publication Year1996
TypeTextbook
Subject AreaMedical
AuthorDenise F. Polit
FormatTrade Paperback

Dimensions

Item Height1.1 in
Item Weight29.6 Oz
Item Length9.3 in
Item Width7 in

Additional Product Features

Intended AudienceCollege Audience
LCCN95-083509
Dewey Edition20
IllustratedYes
Dewey Decimal610.73/076
Table Of Content1. Introduction to Data Analysis. 2. Univariate Statistics: Tabulating and Displaying Data. 3. Univariate Statistics: Central Tendency and Variability. 4. Bivariate Description. 5. Statistical Inference. 6. Testing the Difference Between Two Means: The Two-Sample t-Test. 7. Analysis of Variance. 8. Chi-Square and Other Nonparametric Tests. 9. Correlation and Simple Regression. 10. Multiple Regression. 11. Analysis of Covariance, Multivariate ANOVA, and Canonical Analysis. 12. Factor Analysis. 13. Discriminant Analysis and Logistic Regression. 14. Causal Modeling: Path Analysis and Linear Structural Relations Analysis. Glossary. Appendix A: Answers for Selected Exercises. Appendix B: Theoretical Probability Distribution Tables. Appendix C: Tables for Power Analyses. Index.
SynopsisThis introductory textbook uses a conversational style to teach students how to use statistical methods and procedures for the analysis of research findings. Students are guided through the 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., Introductory text covers the statistical methods and procedures needed to analyze research findings. Special focus is given to quantitative methods. Other features include management of data, how to "clean" data, and how to work around missing data. Graduate nursing students., This introductory textbook uses a conversational style to teach students how to use statistical methods and procedures to analyze 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 NumberRT81.5.P62 1996

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