Preface
Author
1
Introduction
1.1
Aim of this guide and further readings
1.2
Basic steps in weighting a survey
2
Import data and data management
2.0.1
Import data
2.0.2
Select variables
2.0.3
Merging datafiles
2.0.4
Recoding
2.1
Exploring and presenting the dataset
2.1.1
Paradata variables
2.1.2
Survey responses
3
Step 1: Design weights
4
Step 2: Non-response weights
4.1
What are of non-response weights?
4.2
Estimating response propensities using logistic regression
4.3
Creating non-response adjustment classes
4.4
Testing non-response adjustment classes
4.5
Propensity adjustment (alternative to adjustment classes)
4.5.1
Estimating response propensities using Cross-validated LASSO Regression
5
Step 3: Use of auxiliary data for weight calibration
5.1
Preparing data for calibration
5.2
Implementing calibration
5.3
Testing results from raked weights
6
Step 4: Analysis of weight variability
7
Computing weighted estimates
8
Note for non-probability samples
(Very) basic steps to weight a survey sample
6
Step 4: Analysis of weight variability
In progress!