| Description |
xii, 420 pages : illustrations ; 23 cm |
| Contents |
Using research and statistics in health care -- Descriptive statistics : getting to know the data -- Building blocks for using inferential statistics -- Inferential statistics : finding relationships in the data -- The independent T-test and the Mann-Whitney U-test: comparing the means of two unrelated groups -- The paired T-test and the Wilcoxon matched-pairs test: comparing the means of two related groups -- The one-way Anova and the Kruskal-Wallis H-test: comparing the means of three or more unrelated groups -- The repeated-measures Anova and the Friedman's Anova by rank : comparing the means of three or more related groups -- The Pearson and the Spearman correlation coefficients : measuring the association of two variables -- The chi-square statistic and the McNemar test : examining relationships between categorical variables -- Model building with linear and logistic regression -- Writing for publication |
| Summary |
This introductory textbook explores the role of research in health care and focuses in particular on the importance of organizing and describing research data using basic statistics. The goal of the text is to teach students how to analyze data and present the results of evidence-based data analysis. Based on the commonly used SPSS software, a comprehensive range of statistical techniques-both parametric and nonparametric-are presented and explained. Examples are given from nursing, health administration, and health professions, followed by an opportunity for students to immediately practice the technique |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Statistics -- Methods.
|
|
Nursing -- Research -- Statistical methods.
|
|
Medical statistics.
|
|
Statistics as Topic -- methods.
|
|
Nursing Research.
|
| Author |
Garzon, Laurel S.
|
| LC no. |
2008024783 |
| ISBN |
9780781754590 |
|
0781754593 |
|
