## A Gentle Introduction to Stata, Second Edition"A Gentle Introduction to Stata, Second Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will not only be able to use Stata well but also learn new aspects of Stata easily. 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 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. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that should 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). 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. The tone of the book is friendly and conversational without ever being glib or condescending. 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 chose to arrange the topics as they would be 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 2002 and 2006, 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 second edition of the book has been updated to reflect new features in Stata 10 and includes a new chapter on the use of factor analysis to develop valid, reliable scale measures."--Publisher's website. |

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It is a very good book for the non expert programmer that gets intouch for the first time with the Stata Interface. It is very useful as it provides explanations also for the statistics methods and models and not just writing down the command. Finally,after each command, the author explains the results and this is again very helpful.

### Contents

2Enteringdata | 19 |

Preparing data for analysis | 41 |

Working with commands doﬁles and results | 65 |

Descriptive statistics and graphs for one variable | 83 |

Statistics and graphs for two categorical variables | 109 |

Tests for one or two means | 131 |

Bivariate regression and correlation | 161 |

Analysis of variance | 183 |

Multiple regression | 219 |

Logistic regression | 259 |

Measurement reliability and validity | 283 |

Whats next? | 315 |

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### Common terms and phrases

alpha ANOVA bar chart beta box plot categorical variables chapter chi-squared codebook coded column Command window compute conﬁdence correlation covariate create dataset deﬁned degrees of freedom dependent variable dialog box diﬀerent dinner97 distribution Do-ﬁle Editor eﬀect enter the command envcon estimate example factor analysis father’s education female ﬁle ﬁnd ﬁrst gender graph hispanic histogram hrs1 identiﬁcation income interpret kurtosis liberal logistic regression Main tab mean measure median menu missing values multiple regression normal distribution null hypothesis Number of obs number of observations odds ratio open the dialog option output PCF analysis pdrink97 percentage pie chart polviews predict predictors prestg80 prestige R-squared recode regression coeﬃcient relationship researchers Results window rincom98 scale scattergram score select Statistics shown in ﬁgure skewness standard deviation Stata commands statistically signiﬁcant tabulation value labels variable name variance women