This online two-day (2/15 and 2/17) short course will provide participants with an introductory overview of issues frequently encountered when conducting secondary analyses of survey data collected from samples with complex multi-stage designs (e.g., PSID, NHANES, NHIS, HRS), including design-based inference, software tools, 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:
• Recognizing a sample with a complex design, and sampling error calculation models
• Calculation of survey weights based on sample designs / non-response / post-stratification
• Design Effects
• Subgroup analysis
• Weighted vs. unweighted analyses
• Variance estimation, and calculation of correct confidence intervals for population parameters
• Hypothesis Testing based on sample estimates
• Software packages capable of complex sample survey data analysis
• Common analysis methods (linear modeling, descriptive statistics), and interpretation of results
• Using weights in regression modeling, and model-based approaches
• Examples using software programs to analyze real survey data