Displayr for Weighting

The complete solution for weighting survey data

Displayr contains all the tools required to weight your sample to represent the population and to use this weight appropriately in your analysis and reporting.

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Displayr Weighting in action

See how Displayr will cut your Weighting time in half

Weights using interlocked targets (cell weighting)

Displayr supports cell weighting. For example, if you know that 1.2% of your population are males aged 18 to 34 living in Texas, you can weight your data so that all your analyses reflect this.

 

Weight using non-interlocked targets (rim weighting)

Construct weights even when you do not know the interlocked targets. For example, if you don't know how many males aged 18 to 34 live in Texas, but you do know how many males are in the population, how many people aged 18 to 34, and how many Texans, you can still create a weight.

Weight to numeric data, such as market share (calibration)

Traditional weighting software only deals with categorical data. Displayr also supports the modern technique of calibration, that allows you to weight to a mix of categorical and numeric data (e.g., market share, average purchase consumption).

 

Windsorize weights (capping)

Sometimes weights generated using standard algorithms can generate weights that are too extreme (e.g., one weight of 10, another of 0.1). You can specify maximum and minimum values for weights.

Incorporate design weights

Sometimes studies have existing weights designed to rectify known non-representativeness (e.g., caused by stratification or differential response rates). Such design weights can be incorporated when creating new weights designed to address the overall representativeness.

 

Use multiple weights for different analyses

Specify the weight for either all analyses, or subsets of analyses (e.g., create one weight for your occasion data, and another for your household data).

 

Grossing

Easily create expansion weights to make the weighted sample add up to the population.

Significance tests and multivariate anlayses

The statistical tests on tables and generalized linear models (e.g., regression, driver analysis, logistic regression) address the weights via Taylor Series Linearization (i.e., they do not confuse the weighted sample size with the actual sample size).

Automated updating

Weights will automatically update when you revise the data, whether filtering, data cleaning, or adding in a new wave of data.

Complete (not just weighting) 

Displayr is a general purpose app that does everything from crosstabs to text coding to advanced analysis to dashboards, driver analysis, and segmentation.

Once you have weights, you can easily use them in all your subsequent analyses and reporting. There's no need to use one package for creating weights and another package for analyzing them.

Flexible

One tool where you can easily do everything: any analysis goal, any reporting goal, collaboratively, for all skill levels.

Live

All your analysis and reports automatically update when your data changes. The key to saving you so much time.

Complete

One app to replace all your analysis and reporting tools.

Now Displayr streamlines everything.

JULIA O'BRIEN, FIFTH DIMENSION RESEARCH

Read Julia’s story

You’re in good company

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Your next steps

Step 1

Demo

Step 2

Purchase

Step 3

Implement

  • Customized to your needs
  • Annual subscription, see pricing
  • Review & optimize your data file
  • See how to cut your analysis and reporting time in half
  • Customer support
  • Custom 3 hour new user training
  • Confirm that Displayr does everything you want it to
  • Quantity discounts
  • Regular check-ins
Step1

Demo

  • Customized to your needs
  • See how to cut your analysis and reporting time in half
  • Confirm that Displayr does everything you want it to
Step2

Purchase

  • Annual subscription,   see pricing
  • Customer support
  • Quantity discounts
Step3

Implement

  • Review & optimize your data file
  • Custom 3 hour new user training
  • Regular check-ins

Want to learn more about Displayr for Weighting?

How to Weight Survey Data
Ebook

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The Correct Treatment of Sampling Weights in Statistical Tests
Blog

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When to Use Relative Weights Over Shapley
Blog

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Comparing Partial Least Squares to Johnson’s Relative Weights
Blog

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Pssst... have you seen this?
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