Stata: A Really Short Introduction |
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Comment from the Stata technical groupStata: A Really Short Introduction, by Felix Bittmann, is a quick guide to performing data analysis in Stata. With just enough detail for a beginner, Bittmann teaches readers how to use Stata for every step of a research project, from importing data to reporting results. The supporting do-files and other materials provided online allow readers to follow along with every chapter. Aimed at readers with some basic statistical knowledge, this book focuses on how to prepare data, obtain summary statistics, and perform estimation and diagnostics in Stata. The author begins with a brief introduction to the Stata interface and a basic workflow, which will help readers work efficiently and conduct reproducible analyses. Essential data management tasks such as creating new variables, working with missing values, and combining and reshaping datasets are covered. After learning how to prepare data, readers learn how to obtain descriptive and summary statistics in Stata. This includes creating and editing graphical displays. Bittmann then explains how to work with continuous, categorical, and ordinal variables in regression models. His discussion of linear and logistic regression models, as well as propensity-score matching, is complete with examples of diagnostic statistics. This introduction to Stata is clear and complete. Bittmann uses both official and community-contributed software, giving readers a full overview of tools available to them. Stata: A Really Short Introduction will appeal to any Stata novices eager to jump-start their analyses. |
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Table of contentsView table of contents >> List of Notes
1 Introduction
1.1 Formatting
1.2 Graphic style 1.3 Version info 1.4 Online resources 1.5 Cheat sheet 2 The first steps
2.1 The graphical user interface (GUI)
2.2 Opening stata files 2.3 Importing non-Stata file formats 2.4 Entering data manually 2.5 Using preinstalled data 2.6 Saving and exporting data 2.7 The basic workflow 2.8 Do-files 2.9 Delimit and line breaks* 3 Cleaning and preparing data
3.1 Getting to know your data
3.2 Variable names and labels 3.3 Labeling values 3.4 IDs and unique identifiers 3.5 Missing values 3.6 Creating new variables 3.6.1 Special functions 3.7 The if qualifier 3.8 Changing and replacing variables 3.9 Removing observations and variables 3.10 Cleaning data systematically 3.11 Combining datasets* 3.11.1 Appending datasets 3.11.2 One-to-One Merge 3.11.3 Many-to-One Merge 3.11.4 One-to-Many Merge 3.11.5 All pairwise combinations 3.12 Reshaping data* 4 Describing data
4.1 Summarizing information
4.2 Using stored results* 4.3 Histograms 4.4 Boxplots 4.5 Simple barcharts 4.6 Scatterplots 4.7 Frequency tables 4.8 Summarizing information by categories 4.9 Editing and exporting graphs 4.9.1 Combining graphs 4.10 Correlations 4.11 Testing for normality 4.12 t-test for groups* 4.13 Weighting* 5 Introduction to causal analysis
5.1 Correlation and causation
5.2 Causal graphs 5.3 Estimating causal effects 5.4 What does "controlling" actually mean?* 6 Regression analysis
6.1 Research question
6.2 What is a regression? 6.3 Binary independent variable 6.4 Ordinal independent variable 6.5 Metric independent variable 6.6 Interaction effects* 6.6.1 The classic way 6.6.2 Marginal effects 6.6.3 Predicted values 6.6.4 Separate analyses by subgroups 6.7 Standardized regression coefficients* 7 Regression diagnostics
7.1 Exogeneity
7.2 Random sampling 7.3 Linearity in parameters 7.3.1 Solutions 7.4 Multicollinearity 7.4.1 Solutions 7.5 Heteroscedasticity 7.5.1 Solutions 7.6 Influential observations 7.6.1 Dfbetas 7.6.2 Cook's distance 7.7 Summary 8 Logistic regression*
8.1 Introduction
8.2 Control variables 8.3 Nested Models 8.4 Diagnostics 8.4.1 Model misspecification 8.4.2 Sample size and empty cells 8.4.3 Multicollinearity 8.4.4 Influential observations 9 Matching
9.1 Simulating an experiment
9.2 Propensity score matching 9.3 Matching diagnostics 9.3.1 Common support 9.3.2 Balancing of covariates 10 Reporting results
10.1 Tables
10.2 Graphs 11 Writing a seminar paper
11.1 The basic structure
11.2 Master do-files 12 The next steps
12.1 Online sources and manuals
12.2 Bookss References
Copyright
Index
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