Issues in Analysis of Complex Sample Survey Data

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This workshop will provide participants with an introductory, hands-on overview of issues frequently encountered when conducting secondary computer analyses of survey data collected from samples with complex, multi-stage designs (e.g., PSID, NHANES, NCS), including design-based weight determination, software choice, and proper analysis methods.  The workshop is not intended for participants looking to design a survey, but rather for participants who have a desire to analyze complex sample survey data.  Topics to be covered include:

  • Recognizing a sample with a complex design
  • Calculation of sample weights based on sample designs / non-response / post-stratification
  • Calculation of new weights for subgroups / longitudinal analyses
  • Weighted vs. unweighted analyses
  • Calculation of correct confidence intervals for population quantities
  • Hypothesis Testing based on sample estimates
  • Design Effects
  • Software packages capable of complex sample survey data analysis
  • Common analysis methods (linear modeling, descriptive statistics), interpretation of results
  • Approaches to handling missing data using specialized software procedures
  • Hands-on examples using software programs to analyze real survey data

Issues in Analysis of Complex Sample Survey Data

Register
SummaryView full course description

This workshop will provide participants with an introductory, hands-on overview of issues frequently encountered when conducting secondary computer analyses of survey data collected from samples with complex, multi-stage designs (e.g., PSID, NHANES, NCS), including design-based weight determination, software choice, and proper analysis methods.  The workshop is not intended for participants looking to design a survey, but rather for participants who have a desire to analyze complex sample survey data.  Topics to be covered include:

 

  • Recognizing a sample with a complex design
  • Calculation of sample weights based on sample designs / non-response / post-stratification
  • Calculation of new weights for subgroups / longitudinal analyses
  • Weighted vs. unweighted analyses
  • Calculation of correct confidence intervals for population quantities
  • Hypothesis Testing based on sample estimates
  • Design Effects
  • Software packages capable of complex sample survey data analysis
  • Common analysis methods (linear modeling, descriptive statistics), interpretation of results
  • Approaches to handling missing data using specialized software procedures
  • Hands-on examples using software programs to analyze real survey data

 

Applied Structural Equation Modeling

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This workshop is designed to help participants develop skills in defining, estimating and testing structural equation models. Applied Structural Equation Modeling will focus on covariance structure models with latent variables. Two submodels, confirmatory factor analysis and path analysis, will also be covered.  Lectures covering structural equation modeling in general will be interspersed with hands-on computer work. The workshop is intended as an introduction to structural equation modeling. The software used is Stata–no prior use of Stata is required