A self-guided tour to help you find and analyze data using Stata, R, Excel and SPSS. The goal is to provide basic learning tools for classes, research and/or professional development

- DSS Online Training/Getting Started sectionA collection of tutorials to help you getting started in your data analysis.

- Using -- outreg2 -- to make nice tables (Stata)"Using outreg2 to report regression output, descriptive statistics, frequencies and basic crosstabulations."
- Using -- stargazer -- to make nice tables (R)"Using stargazer to report regression output and descriptive statistics in R (for non-LaTeX users)."

- Using Stat/TransferEasiest way to go from SPSS, SAS or other proprietary statistical software to Stata

- Getting Started in Data Analysis using StataThis Stata tutorial include topics reading data in Stata (from Excel to Stata, from SPSS to Stata, from SAS to Stata), data management (recode, generate, sort variables), frequencies, crosstabs, merge, scatter plots, histograms, descriptive statistics, regression and more!
- Getting Started in Data Analysis using RThis R tutorial provides a side-by-side comparison with Stata. It includes first steps, importing/exporting data to/from R/Stata. Frequencies, crosstablations, scatterplots, histograms, descriptive statistics.
- Fixed and random effects (panel data analysis - Stata)A basic introduction on fixed and random effects models to analyze panel data.
- Fixed/Random Effects (panel data analysis - R)Introduction to fixed/random effects using R
- Linear Regression using StataBasic introduction to linear regression analysis, diagnostics and presentation (using Stata)
- Linear Regression using RIntroduction to linear regression and diagnostics using R.
- Logit & Ordered logit regressionIntroduction to logit and ordered logit regression
- Factor AnalysisBasic introduction to factor analysis
- Analyzing poll dataProcedures and tips on how to analyze public opinion data
- Merge/Append using StataMerge, append datasets using Stata
- Merge/Append using RMerge, append using R
- Reshape data using StataReshape wide to long and long to wide in Stata
- Reshape data using RReshape long to wide and wide to long in R
- From NLS Investigator to StataThis document offers a quick introduction to the NLS Investigator. It follows a basic approach and focus on searching, downloading and putting the data into Stata
- Introduction to RStudioBasic intro on how to use RStudio
- TransposeRows as columns in Excel
- Z-test for proportionsExcel file on how to estimate a z-test for proportions.
- Predicted probabilities/marginal effects using margins StataEstimating predicted probabilities and marginal effects after (ordered) logit/probit models --margins--. Export output to word using ---outreg2--
- Logit/ordered logit, predicted probabilities and marginal effects uisng REstimating logit/ordered logit models using R. Predicted probabilities and marginal effects are are also included.
- Intro to Data Visualization: StataStata code to the most common graphs used in statistical analysis.
- Differences-in-differences using StataBasic differences-in-differences estimation (Stata)
- Differences-in-differences using RBasic differences-in-differences estimation (R)

- Data Preparation and Descriptive StatisticsThis Stata tutorial provides an introduction on how to set your data for analysis and how to get descriptive statistics using Excel and Stata. It shows how to go from Excel to Stata, SPSS to Stata, SAS to Stata, ASCII to Stata, R to Stata. Reshape from long to wide and wide to long.
- Linear RegresionBasics on how to run, define and interpret linear regression and time series output.
- Panel DataIntroduction to panel data analysis
- Multilevel AnalysisIntroduction to multilevel analysis
- Time SeriesIntroduction to time series analysis

- Stata online tutorialWhat to do first, exploring data, do-file, date and time variables, references
- Data 101This section provides some basic definitions for data and its different types.
- Descriptive statistics using Excel/StataWhat are descriptive statistics? How to estimate them using Excel or Stata?
- Regression and more (links)A series of links with annotated output for several models, testing and some econometric procedures.

- StatNotes: Topics in Multivariate AnalysisWritten by G. David Garson, from North Carolina State University, Public Administration Program
- The Statistics Homepage"This Electronic Statistics Textbook offers training in the understanding and application of statistics. The material was developed at the StatSoft R&D department based on many years of teaching undergraduate and graduate statistics courses and covers a
- The Concept of Confidence Interval"Statisticians use a confidence interval to express the degree of uncertainty associated with a sample statistic. A confidence interval is an interval estimate combined with a probability statement."
- TED: Visualizing DataOn data visualization

- DSS lab location (map)The DSS lab is located in Firestone Library A-12G (A-floor)