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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.
The book contains black-and-white illustrations.
|Pt. I||Introduction to the Applications Manual||1|
|Pt. II||Computer Exercises||23|
|1||Introduction to Data Analysis||25|
|2||Univariate Statistics: Tabulating and Displaying Data||35|
|3||Univariate Statistics: Central Tendency and Variability||43|
|6||Testing the Difference Between Two Means: The Two-Sample t-Test||63|
|7||Analysis of Variance||69|
|8||Chi-Square and Other Nonparametric Tests||79|
|9||Correlation and Simple Regression||85|
|11||Analysis of Covariance, Multivariate ANOVA, and Canonical Analysis||99|
|13||Discriminant Analysis and Logistic Regression||119|
|14||Causal Modeling: Path Analysis and Linear Structural Relations Analysis||131|
|Appendix A Variables in the NLSY Data File, in Order of Appearance in File||143|
|Appendix B Detailed Description of NLSY Variables||149|
|Appendix C Codebook for NLSY Variables, Listed in Alphabetical Order||165|
|Appendix D Answers to Selected Exercises||177|