A gentle introduction to Stata - Info and Reading Options
By Alan C. Acock
"A gentle introduction to Stata" was published by A Stata Press Publication, StataCorp LP in 2014 - College Station, Texas, it has 468 pages and the language of the book is English.
“A gentle introduction to Stata” Metadata:
- Title: A gentle introduction to Stata
- Author: Alan C. Acock
- Language: English
- Number of Pages: 468
- Publisher: ➤ A Stata Press Publication, StataCorp LP
- Publish Date: 2014
- Publish Location: College Station, Texas
“A gentle introduction to Stata” Subjects and Themes:
- Subjects: ➤ Statistical methods - Graphic methods - Statistics - Stata - Computer programs - Social sciences - Handbooks, manuals - Electronic data processing - Computer software - Statistics, graphic methods - Social sciences, statistical methods - Mathematical statistics - Statistics--computer programs - Statistics--graphic methods--computer programs - Social sciences--statistical methods--computer programs - Social sciences--statistics--computer programs - Mathematical statistics--computer programs - Statistics as topic - Automatic data processing - Computer graphics - Qa276.4 .a36 2014 - Wa950 a185g 2014 - 005.5/5
Edition Specifications:
- Pagination: xxx, 468 pages
Edition Identifiers:
- The Open Library ID: OL30388549M - OL18711283W
- Online Computer Library Center (OCLC) ID: 880910527
- Library of Congress Control Number (LCCN): 2014935652
- ISBN-13: 9781597181426
- ISBN-10: 1597181420
- All ISBNs: 1597181420 - 9781597181426
AI-generated Review of “A gentle introduction to Stata”:
"A gentle introduction to Stata" Table Of Contents:
- 1- 1. Getting started
- 2- 2. Entering data
- 3- 3. Preparing data for analysis
- 4- 4. Working with commands, do-files, and results
- 5- 5. Descriptive statistics and graphs for one variable
- 6- 6. Statistics and graphs for two categorical variables
- 7- 7. Tests for one or two means
- 8- 8. Bivariate correlation and regression
- 9- 9. Analysis of variance
- 10- 10. Multiple regression
- 11- 11. Logistic regression
- 12- 12. Measurement, reliability, and validity
- 13- 13. Working with missing values
- 14- 14. The sem and gsem commands
- 15- A. What's next?
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