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Analysis

DSS Resources

• Getting Started
  • Planning your analysis
  • Research questions
  • Preparing your data
• How to Use a Codebook
• Introduction to Regression
  • Introduction
  • Assumptions of regression
  • Transforming variables
  • Simple linear regression
  • Standard multiple regression
• Interpreting Regression Results
  • Regression review
  • P, t and standard error
  • Coefficients
  • R squared and overall significance
• Working With Dummy Variables
• Using Time Series Data in Stata
  • Time series data and tsset
  • Date formats in Stata
  • Time series variable lists
• Lag Selection
• Analysis of Panel Data
  • Introduction
  • Using panel data in Stata
  • Fixed, between, and random effects estimators
  • Choosing between fixed and random effects
• Reshape World Development Indicators for Stata Analysis

• What Statistical Test Should I Use?
  A detailed runthrough of a number of commonly used statistical tests, with explanations of when to use each and examples showing how to use and interpret them in Stata.
• Choosing the Correct Statistical Test
  Chart showing various combinations of dependent and independent variables, recommended statistical tests and demonstrations of how to perform each in SAS, SPSS and Stata.
• Research Methods Knowledge Base
  Study design, data collection, and basic inferential statistics.
• The Little Handbook of Statistical Practice
  Descriptive and inferential statistics, regression and regression diagnostics, logistic regression.
• Regression with Stata
  Model specification, data diagnostics, interpreting Stata output
• Logistic Regression with Stata
  Assumptions of logistic regression, diagnostics, interpreting output, ml and probit commands.
  • How do I interpret odds ratios in logistic regression?