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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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