| Description |
xl, 570 pages : illustrations ; 24 cm |
| Contents |
List of figures -- List of tables -- List of boxed tips -- Preface -- Support materials for the book -- Glossary of acronyms -- Glossary of mathematical and statistical symbols -- Chapter 1. Getting started -- Chapter 2. Entering data -- Chapter 3. Preparing data for analysis -- Chapter 4. Working with commands, do-files, and results -- Chapter 5. Descriptive statistics and graphs for one variable -- Chapter 6. Statistics and graphs for two categorical variables -- Chapter 7. Tests for one or two means -- Chapter 8. Bivariate correlation and regression -- Chapter 9. Analysis of variance -- Chapter 10. Multiple regression -- Chapter 11. Logistic regression -- Chapter 12. Measurement, reliability, and validity -- Chapter 13. Structural equation and generalized structural equation modeling -- Chapter 14. Working with missing values - Multiple imputation -- Chapter 15. An introduction to multilevel analysis -- Chapter 16. Item response theory (IRT) -- Appendix A. What's next? -- References -- Author index -- Subject index |
| Summary |
"A Gentle Introduction to Stata, Sixth Edition is for people who need to learn Stata but who may not have a strong background in statistics or prior experience with statistical software packages. After working through this book, you will be able to enter, build, and manage a dataset and perform fundamental statistical analyses. This book is organized like the unfolding of a research project. You begin by learning how to enter and manage data and how to do basic descriptive statistics and graphical analysis. Then, you learn how to perform standard statistical procedures from t tests, nonparametric tests, and measures of association through ANOVA, multiple regression, and logistic regression. Finally, you will find straightforward introductions to using Stata for measurement, multilevel modeling, multiple imputation, structural equation modeling (SEM), and item response theory (IRT). The sixth edition incorporates new features of Stata 15. All menus, dialog boxes, and instructions for using the point-and-click interface have been updated. Power-and-sample-size calculations for linear regression are demonstrated using Stata 15’s new power rsquared command. This edition also includes new sections that describe how to evaluate convergent and discriminant validity, how to compute effect sizes for t tests and ANOVA models, how to use margins and marginsplot to interpret results of linear and logistic regression models, and how to use full-information maximum-likelihood (FIML) estimation with SEM to address problems with missing data."--taken from back cover |
| Notes |
Revised edition of: A gentle introduction to Stata / Alan C. Acock, Oregon State University. 5th edition. [2016] |
| Bibliography |
Includes bibliographical references (pages 551-554) and indexes |
| SUBJECT |
Stata -- Handbooks, manuals, etc
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| Subject |
Social sciences -- Statistics -- Computer programs
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Social sciences -- Statistical methods -- Computer programs
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Statistics -- Graphic methods -- Computer programs
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Electronic Data Processing
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Computer Graphics
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Statistics as Topic
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| Genre/Form |
Handbook
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Handbooks and manuals.
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Handbooks and manuals.
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| LC no. |
2018937491 |
| ISBN |
9781597182690 |
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1597182699 |
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