Analysing complex survey data: clustering, stratification and weights
Social Research Update, 43, Autumn Issue
• Survey analysts routinely ignore complex design factors such as clustering, stratification and weighting.
• This results in biased estimates of standard errors and increased likelihood of Type I errors.
• A substantive example is used to illustrate the problem and appropriate software applications are briefly reviewed.
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