Copyright Disclaimer:This site does not store any files on its server. We only index and link to content provided by other sites. Acock Free You easily download any file type for your device. Just read it with an open mind because none of us really know. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book.
Acock starts with the basics; for example, the part 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. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and good statistical habits continues throughout the book.
Acock is quite careful to teach the reader all aspects of using Stata. 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.
He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. In this way, he ensures that all types of users can build good work habits.
Each chapter has exercises that the motivated reader can use to reinforce the material. 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. 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.
Real datasets, such as the General Social Surveys from and , are used throughout the book. 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.
Various selection criteria, such as semipartial correlations, are discussed for model selection. The revised third edition of the book has been updated to reflect the new features available in Stata 12 and Stata 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. Menus and screenshots have also been updated. As in the third edition, an entire chapter is devoted to the analysis of missing data and the use of multiple-imputation methods.
Factor-variable notation is introduced as an alternative to the manual creation of interaction terms.
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