Alan C. Acock (Oregon State University, Corvallis, USA)
A Gentle Introduction to Stata, Revised Sixth Edition
Alan C. Acock (Oregon State University, Corvallis, USA)
A Gentle Introduction to Stata, Revised Sixth Edition
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Ready to learn Stata? The revised edition of Stata Press' long-time best seller, 'A Gentle Introduction to Stata' is now available and fully updated for Stata 17.
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Ready to learn Stata? The revised edition of Stata Press' long-time best seller, 'A Gentle Introduction to Stata' is now available and fully updated for Stata 17.
Produktdetails
- Produktdetails
- Verlag: Stata Press
- 6 ed
- Seitenzahl: 566
- Erscheinungstermin: 19. Januar 2023
- Englisch
- Abmessung: 235mm x 185mm x 35mm
- Gewicht: 1208g
- ISBN-13: 9781597183673
- ISBN-10: 1597183679
- Artikelnr.: 68387035
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Stata Press
- 6 ed
- Seitenzahl: 566
- Erscheinungstermin: 19. Januar 2023
- Englisch
- Abmessung: 235mm x 185mm x 35mm
- Gewicht: 1208g
- ISBN-13: 9781597183673
- ISBN-10: 1597183679
- Artikelnr.: 68387035
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
Alan Acock is a sociologist and a University Distinguished Professor Emeritus in the School of Social and Behavioral Health Sciences at Oregon State University. He held the Knudson Chair in Family Research and was also recognized as the Alumni Distinguished Professor based on his work with students. He is the author of Discovering Structural Equation Modeling Using Stata, Revised Edition. He has published more than 150 articles in leading journals across the social and behavioral sciences, including Structural Equation Modeling, Psychological Bulletin, Multivariate Behavioral Research,Journal of Gerontology, Journal of Adolescence, American Journal of Public Health, American Sociological Review, Journal of Marriage and Family, Social Forces, Drug and Alcohol Dependence, Educational and Psychological Measurement, Journal of Politics, Prevention Science, American Journal of Preventive Medicine, and many others. With this broad experience, Acock brings examples from a variety of disciplines.
Getting started Entering data Preparing data for analysis Working with
commands, do-files, and results Descriptive statistics and graphs for one
variable Statistics and graphs for two categorical variables Tests for one
or two means Bivariate correlation and regression Analysis of variance
Multiple regression Logistic regression Measurement, reliability, and
validity Structural equation and generalized structural equation modeling
Working with missing values-multiple imputation An introduction to
multilevel analysis Item response theory (IRT) What's next? Glossary of
acronyms Glossary of mathematical and statistical symbols References
commands, do-files, and results Descriptive statistics and graphs for one
variable Statistics and graphs for two categorical variables Tests for one
or two means Bivariate correlation and regression Analysis of variance
Multiple regression Logistic regression Measurement, reliability, and
validity Structural equation and generalized structural equation modeling
Working with missing values-multiple imputation An introduction to
multilevel analysis Item response theory (IRT) What's next? Glossary of
acronyms Glossary of mathematical and statistical symbols References
Getting started Entering data Preparing data for analysis Working with
commands, do-files, and results Descriptive statistics and graphs for one
variable Statistics and graphs for two categorical variables Tests for one
or two means Bivariate correlation and regression Analysis of variance
Multiple regression Logistic regression Measurement, reliability, and
validity Structural equation and generalized structural equation modeling
Working with missing values-multiple imputation An introduction to
multilevel analysis Item response theory (IRT) What's next? Glossary of
acronyms Glossary of mathematical and statistical symbols References
commands, do-files, and results Descriptive statistics and graphs for one
variable Statistics and graphs for two categorical variables Tests for one
or two means Bivariate correlation and regression Analysis of variance
Multiple regression Logistic regression Measurement, reliability, and
validity Structural equation and generalized structural equation modeling
Working with missing values-multiple imputation An introduction to
multilevel analysis Item response theory (IRT) What's next? Glossary of
acronyms Glossary of mathematical and statistical symbols References