Weighting Methods Comparison
Compare different statistical weighting approaches and choose the right method for your research.
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Different weighting methods are suited for different research scenarios. Understanding the strengths and limitations of each approach helps you choose the most appropriate technique for your specific needs.
Post-Stratification
Works well when you have complete cross-tabulations of your target population. Provides precise control over multiple variables simultaneously.
Raking (Rim Weighting)
More flexible when you only have marginal distributions. Iteratively adjusts weights to match multiple targets.
Propensity Score Weighting
Advanced technique that models the probability of response and adjusts for non-response bias. Particularly useful in complex survey designs where traditional methods fall short.
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