#STATA 12 USER GUIDE MANUAL#
Factor-variable notation is introduced as an alternative to the manual creation of interaction terms. As in the third edition, an entire chapter is devoted to the analysis of missing data and the use of multiple-imputation methods. Menus and screenshots have also been updated. The ANOVA chapter has been revised to incorporate the pwmeans command, to do mean comparisons, and the marginsplot command, which simplifies the construction of graphs showing interaction effects. The revised third edition of the book has been updated to reflect the new features available in Stata 12 and Stata 11. Various selection criteria, such as semipartial correlations, are discussed for model selection. The focus of the book is especially helpful for those in psychology and the social sciences, because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Real datasets, such as the General Social Surveys from 20, are used throughout the book. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook graphics and postestimation are woven into the material in a natural fashion. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward-referencing. The tone of the book is friendly and conversational without ever being glib or condescending. Each chapter has exercises that the motivated reader can use to reinforce the material. In this way, he ensures that all types of users can build good work habits. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). This mixture of explaining good Stata habits and good statistical habits continues throughout the book.Īcock is quite careful to teach the reader all aspects of using Stata.
#STATA 12 USER GUIDE HOW TO#
When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. Acock starts with the basics for example, the portion of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset on the computer. This assumption of a blank slate is central to the structure and contents of the book.
After reading this introductory text, new users not only will be able to use Stata well but also will learn new aspects of Stata easily.Īcock assumes that the user is not familiar with any statistical software. Acock’s A Gentle Introduction to Stata, Revised Third Edition is aimed at new Stata users who want to become proficient in Stata. Please click here to visit our new websiteĪ Gentle Introduction to Stata, Revised Third Edition (2012, 401 pages)Ĭomment from the Stata technical group (verbatim from their website, linked)Īlan C.
#STATA 12 USER GUIDE PROFESSIONAL#
And promote the discipline and professional practice of epidemiology in